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+model_checkpoint_path: "checkpoint"
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@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_001/trial.json b/backend/app/Experiment_1/trial_001/trial.json
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@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_002/trial.json b/backend/app/Experiment_1/trial_002/trial.json
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+++ b/backend/app/Experiment_1/trial_003/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
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+++ b/backend/app/Experiment_1/trial_003/trial.json
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+{"trial_id": "003", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.34850549697875977], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.2117963284254074], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.33395302295684814], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.19879479706287384], "step": 1}]}}}, "score": 0.33395302295684814, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_004/checkpoint b/backend/app/Experiment_1/trial_004/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_004/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_004/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_004/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_004/pipeline b/backend/app/Experiment_1/trial_004/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_004/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_004/trial.json b/backend/app/Experiment_1/trial_004/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..c7719654610af9d731a75c624af743de4fb8d8fd
--- /dev/null
+++ b/backend/app/Experiment_1/trial_004/trial.json
@@ -0,0 +1 @@
+{"trial_id": "004", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5410877466201782], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.49522486329078674], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.22872427105903625], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.09123977273702621], "step": 1}]}}}, "score": 0.22872427105903625, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_005/checkpoint b/backend/app/Experiment_1/trial_005/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_005/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_005/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_005/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_005/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_005/pipeline b/backend/app/Experiment_1/trial_005/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_005/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_005/trial.json b/backend/app/Experiment_1/trial_005/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..2aa0d6d5f31a09aaccb27c0ed9527049c16c1936
--- /dev/null
+++ b/backend/app/Experiment_1/trial_005/trial.json
@@ -0,0 +1 @@
+{"trial_id": "005", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.1231027841567993], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.039733409881592], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.45707371830940247], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2727295458316803], "step": 1}]}}}, "score": 0.45707371830940247, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_006/checkpoint b/backend/app/Experiment_1/trial_006/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_006/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_006/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_006/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_006/pipeline b/backend/app/Experiment_1/trial_006/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_006/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_006/trial.json b/backend/app/Experiment_1/trial_006/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..6f891a0e63dd2f4b5f309f78ec443a364b2c7547
--- /dev/null
+++ b/backend/app/Experiment_1/trial_006/trial.json
@@ -0,0 +1 @@
+{"trial_id": "006", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.3915053904056549], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.25187522172927856], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.32892245054244995], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.1983186900615692], "step": 1}]}}}, "score": 0.32892245054244995, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_007/checkpoint b/backend/app/Experiment_1/trial_007/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_007/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_007/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_007/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_007/pipeline b/backend/app/Experiment_1/trial_007/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_007/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_007/trial.json b/backend/app/Experiment_1/trial_007/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..c92b475a6537eba6695c999c3fe8ed141c6f2d57
--- /dev/null
+++ b/backend/app/Experiment_1/trial_007/trial.json
@@ -0,0 +1 @@
+{"trial_id": "007", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.7028699517250061], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.8032782673835754], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.5639197826385498], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.4773784875869751], "step": 1}]}}}, "score": 0.5639197826385498, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_008/checkpoint b/backend/app/Experiment_1/trial_008/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_008/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_008/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_008/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_008/pipeline b/backend/app/Experiment_1/trial_008/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_008/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_008/trial.json b/backend/app/Experiment_1/trial_008/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..2be4ec0b3c664e94c79fe0602b987c19e4799752
--- /dev/null
+++ b/backend/app/Experiment_1/trial_008/trial.json
@@ -0,0 +1 @@
+{"trial_id": "008", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.4278375506401062], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.2904743254184723], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.4069707989692688], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.26530584692955017], "step": 1}]}}}, "score": 0.4069707989692688, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_009/checkpoint b/backend/app/Experiment_1/trial_009/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_009/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_009/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_009/checkpoint.data-00000-of-00001
new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_009/checkpoint.index b/backend/app/Experiment_1/trial_009/checkpoint.index
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Binary files /dev/null and b/backend/app/Experiment_1/trial_009/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_009/pipeline b/backend/app/Experiment_1/trial_009/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_009/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_009/trial.json b/backend/app/Experiment_1/trial_009/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..e19b7303e71c8019f648dcafef9b8a7db679f745
--- /dev/null
+++ b/backend/app/Experiment_1/trial_009/trial.json
@@ -0,0 +1 @@
+{"trial_id": "009", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.3472566604614258], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [3.2399511337280273], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.41303205490112305], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2841043472290039], "step": 0}]}}}, "score": 0.41303205490112305, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_010/checkpoint b/backend/app/Experiment_1/trial_010/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_010/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_010/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_010/checkpoint.data-00000-of-00001
new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_010/checkpoint.index b/backend/app/Experiment_1/trial_010/checkpoint.index
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Binary files /dev/null and b/backend/app/Experiment_1/trial_010/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_010/pipeline b/backend/app/Experiment_1/trial_010/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_010/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_010/trial.json b/backend/app/Experiment_1/trial_010/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..abcab7f9ff11fc3fdb3bea2489ea456e4da3534e
--- /dev/null
+++ b/backend/app/Experiment_1/trial_010/trial.json
@@ -0,0 +1 @@
+{"trial_id": "010", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.19187696278095245], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.06902094185352325], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.14983928203582764], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.044995348900556564], "step": 1}]}}}, "score": 0.14983928203582764, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_011/checkpoint b/backend/app/Experiment_1/trial_011/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_011/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_011/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_011/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_011/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_011/pipeline b/backend/app/Experiment_1/trial_011/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_011/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_011/trial.json b/backend/app/Experiment_1/trial_011/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..adcf7e438260d1402e4d4e8970bb952cd5ae1183
--- /dev/null
+++ b/backend/app/Experiment_1/trial_011/trial.json
@@ -0,0 +1 @@
+{"trial_id": "011", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.1402931213378906], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.1465165615081787], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3018077611923218], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.1365400105714798], "step": 0}]}}}, "score": 0.3018077611923218, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_012/checkpoint b/backend/app/Experiment_1/trial_012/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_012/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_012/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_012/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_012/checkpoint.index b/backend/app/Experiment_1/trial_012/checkpoint.index
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diff --git a/backend/app/Experiment_1/trial_012/pipeline b/backend/app/Experiment_1/trial_012/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_012/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_012/trial.json b/backend/app/Experiment_1/trial_012/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ed6571628b1cf7c92beda0b96554f9a0341614a4
--- /dev/null
+++ b/backend/app/Experiment_1/trial_012/trial.json
@@ -0,0 +1 @@
+{"trial_id": "012", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.120043158531189], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.247650623321533], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.6115991473197937], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.5483412146568298], "step": 1}]}}}, "score": 0.6115991473197937, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_013/checkpoint b/backend/app/Experiment_1/trial_013/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_013/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_013/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_013/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_013/pipeline b/backend/app/Experiment_1/trial_013/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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+++ b/backend/app/Experiment_1/trial_013/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_013/trial.json b/backend/app/Experiment_1/trial_013/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..4d75dcc03fee4d40d15c3408faed3bacda88bd80
--- /dev/null
+++ b/backend/app/Experiment_1/trial_013/trial.json
@@ -0,0 +1 @@
+{"trial_id": "013", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.14984510838985443], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.04923224449157715], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.12736232578754425], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.039500098675489426], "step": 1}]}}}, "score": 0.12736232578754425, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_014/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_014/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_014/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_014/pipeline b/backend/app/Experiment_1/trial_014/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_014/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_014/trial.json b/backend/app/Experiment_1/trial_014/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..be639545ea663a01060c35b22831c5ae165fc2e9
--- /dev/null
+++ b/backend/app/Experiment_1/trial_014/trial.json
@@ -0,0 +1 @@
+{"trial_id": "014", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.31426331400871277], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.1629558503627777], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.17464815080165863], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.056344375014305115], "step": 1}]}}}, "score": 0.17464815080165863, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_015/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_015/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_015/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_015/pipeline b/backend/app/Experiment_1/trial_015/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_015/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_015/trial.json b/backend/app/Experiment_1/trial_015/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..7b4bfabadb860d0b7e511c54b66c1195e89bb7f3
--- /dev/null
+++ b/backend/app/Experiment_1/trial_015/trial.json
@@ -0,0 +1 @@
+{"trial_id": "015", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.0149410963058472], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.7510493993759155], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.4095361530780792], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2845265567302704], "step": 0}]}}}, "score": 0.4095361530780792, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_016/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_016/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_016/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_016/pipeline b/backend/app/Experiment_1/trial_016/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_016/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_016/trial.json b/backend/app/Experiment_1/trial_016/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ad96deb87641d9cd16e6e43388ba523d5e229563
--- /dev/null
+++ b/backend/app/Experiment_1/trial_016/trial.json
@@ -0,0 +1 @@
+{"trial_id": "016", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.5, "optimizer": "sgd", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.7578689455986023], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.9337389469146729], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.24900108575820923], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.11061006039381027], "step": 1}]}}}, "score": 0.24900108575820923, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_017/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_017/pipeline b/backend/app/Experiment_1/trial_017/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_017/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_017/trial.json b/backend/app/Experiment_1/trial_017/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..c8e66276302886ecc1e08e93c4735ed4465864b7
--- /dev/null
+++ b/backend/app/Experiment_1/trial_017/trial.json
@@ -0,0 +1 @@
+{"trial_id": "017", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5487102270126343], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.7323687076568604], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.26132458448410034], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.12140664458274841], "step": 0}]}}}, "score": 0.26132458448410034, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_018/checkpoint b/backend/app/Experiment_1/trial_018/checkpoint
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_018/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_018/trial.json b/backend/app/Experiment_1/trial_018/trial.json
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_019/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_019/pipeline b/backend/app/Experiment_1/trial_019/pipeline
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index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_019/trial.json b/backend/app/Experiment_1/trial_019/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_019/trial.json
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_020/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_020/pipeline b/backend/app/Experiment_1/trial_020/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_020/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_020/trial.json b/backend/app/Experiment_1/trial_020/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_020/trial.json
@@ -0,0 +1 @@
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_021/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_021/pipeline b/backend/app/Experiment_1/trial_021/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_021/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_021/trial.json b/backend/app/Experiment_1/trial_021/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_021/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_022/checkpoint b/backend/app/Experiment_1/trial_022/checkpoint
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_022/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_022/pipeline b/backend/app/Experiment_1/trial_022/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_022/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_022/trial.json b/backend/app/Experiment_1/trial_022/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..5947a459634b56fbeeb8f955e548d7dd2107ca5d
--- /dev/null
+++ b/backend/app/Experiment_1/trial_022/trial.json
@@ -0,0 +1 @@
+{"trial_id": "022", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.22234810888767242], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.3635854125022888], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.1598404347896576], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05570545420050621], "step": 0}]}}}, "score": 0.1598404347896576, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_023/checkpoint b/backend/app/Experiment_1/trial_023/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_023/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_023/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_023/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_023/pipeline b/backend/app/Experiment_1/trial_023/pipeline
new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_023/trial.json b/backend/app/Experiment_1/trial_023/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..6d52ee5726fbb78adae26ac0795805b88ab84b1d
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+++ b/backend/app/Experiment_1/trial_023/trial.json
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+{"trial_id": "023", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5979234576225281], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.6144341826438904], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.19543051719665527], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.07321619242429733], "step": 1}]}}}, "score": 0.19543051719665527, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_024/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_024/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_024/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_024/pipeline b/backend/app/Experiment_1/trial_024/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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+++ b/backend/app/Experiment_1/trial_024/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_024/trial.json b/backend/app/Experiment_1/trial_024/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..051cde857d0d9140b0d6fd4cac1b78dd882bab54
--- /dev/null
+++ b/backend/app/Experiment_1/trial_024/trial.json
@@ -0,0 +1 @@
+{"trial_id": "024", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.1622655689716339], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.05704042315483093], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.15390996634960175], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05212489888072014], "step": 1}]}}}, "score": 0.15390996634960175, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_025/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_025/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_025/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_025/pipeline b/backend/app/Experiment_1/trial_025/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_025/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_025/trial.json b/backend/app/Experiment_1/trial_025/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..206841e12188fcb6006f0d11b8af86378336b34e
--- /dev/null
+++ b/backend/app/Experiment_1/trial_025/trial.json
@@ -0,0 +1 @@
+{"trial_id": "025", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5129732489585876], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.39831656217575073], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3972787857055664], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2343226820230484], "step": 1}]}}}, "score": 0.3972787857055664, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_026/checkpoint b/backend/app/Experiment_1/trial_026/checkpoint
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_026/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_026/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_026/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_026/pipeline b/backend/app/Experiment_1/trial_026/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_026/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_026/trial.json b/backend/app/Experiment_1/trial_026/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..c6ffb799a4c1bfcbb3d8436479f274788cebbd38
--- /dev/null
+++ b/backend/app/Experiment_1/trial_026/trial.json
@@ -0,0 +1 @@
+{"trial_id": "026", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.2962626814842224], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.16396300494670868], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.2588122487068176], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.13772565126419067], "step": 1}]}}}, "score": 0.2588122487068176, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_027/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_027/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_027/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_027/pipeline b/backend/app/Experiment_1/trial_027/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_027/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_027/trial.json b/backend/app/Experiment_1/trial_027/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ef3d6b15538fd0a8f5e91526b18273abd039d4f8
--- /dev/null
+++ b/backend/app/Experiment_1/trial_027/trial.json
@@ -0,0 +1 @@
+{"trial_id": "027", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.4425197243690491], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.3168433904647827], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.24721211194992065], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.11831337958574295], "step": 1}]}}}, "score": 0.24721211194992065, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_028/checkpoint b/backend/app/Experiment_1/trial_028/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_028/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_028/pipeline b/backend/app/Experiment_1/trial_028/pipeline
new file mode 100644
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_028/trial.json b/backend/app/Experiment_1/trial_028/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..8562592214b942ef5e20b42f7e06587ae136613b
--- /dev/null
+++ b/backend/app/Experiment_1/trial_028/trial.json
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\ No newline at end of file
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index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_029/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_029/pipeline b/backend/app/Experiment_1/trial_029/pipeline
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+++ b/backend/app/Experiment_1/trial_029/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_029/trial.json b/backend/app/Experiment_1/trial_029/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..7213b4a1d44913633007f4b7d951dcf833df84d8
--- /dev/null
+++ b/backend/app/Experiment_1/trial_029/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
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new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_030/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_030/pipeline b/backend/app/Experiment_1/trial_030/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_030/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_030/trial.json b/backend/app/Experiment_1/trial_030/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..11f9de4a5e2499f2f98ba734786123804bc3834c
--- /dev/null
+++ b/backend/app/Experiment_1/trial_030/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_031/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_031/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_031/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_031/pipeline b/backend/app/Experiment_1/trial_031/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_031/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_031/trial.json b/backend/app/Experiment_1/trial_031/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_031/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_032/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_032/pipeline b/backend/app/Experiment_1/trial_032/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_032/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_032/trial.json b/backend/app/Experiment_1/trial_032/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_032/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
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new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_033/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_033/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_033/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_033/pipeline b/backend/app/Experiment_1/trial_033/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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+++ b/backend/app/Experiment_1/trial_033/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_033/trial.json b/backend/app/Experiment_1/trial_033/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..09ab85f595f6b418b7e1fedfb31cf45dd26dfd2f
--- /dev/null
+++ b/backend/app/Experiment_1/trial_033/trial.json
@@ -0,0 +1 @@
+{"trial_id": "033", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.43142378330230713], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.29406437277793884], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.4093197286128998], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2651294469833374], "step": 1}]}}}, "score": 0.4093197286128998, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_034/checkpoint b/backend/app/Experiment_1/trial_034/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_034/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_034/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_034/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_034/pipeline b/backend/app/Experiment_1/trial_034/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_034/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_034/trial.json b/backend/app/Experiment_1/trial_034/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..adf5feb8f028530cf28bcc0c5b755880e5459c45
--- /dev/null
+++ b/backend/app/Experiment_1/trial_034/trial.json
@@ -0,0 +1 @@
+{"trial_id": "034", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.1316218227148056], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.042345695197582245], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.11807794868946075], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.034917183220386505], "step": 1}]}}}, "score": 0.11807794868946075, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_035/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_035/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_035/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_035/pipeline b/backend/app/Experiment_1/trial_035/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_035/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_035/trial.json b/backend/app/Experiment_1/trial_035/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..409a7d5239fa0a3575729430ace38402b68e62b4
--- /dev/null
+++ b/backend/app/Experiment_1/trial_035/trial.json
@@ -0,0 +1 @@
+{"trial_id": "035", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.23870432376861572], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.09613552689552307], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.17166823148727417], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05341039597988129], "step": 1}]}}}, "score": 0.17166823148727417, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_036/checkpoint b/backend/app/Experiment_1/trial_036/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_036/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_036/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_036/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_036/pipeline b/backend/app/Experiment_1/trial_036/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_036/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_036/trial.json b/backend/app/Experiment_1/trial_036/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..605515a620cff518ac5403e5b4fd061f4f39f2df
--- /dev/null
+++ b/backend/app/Experiment_1/trial_036/trial.json
@@ -0,0 +1 @@
+{"trial_id": "036", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5872057676315308], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.5532184839248657], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.42845091223716736], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2803485095500946], "step": 1}]}}}, "score": 0.42845091223716736, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_037/checkpoint b/backend/app/Experiment_1/trial_037/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_037/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_037/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_037/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_037/pipeline b/backend/app/Experiment_1/trial_037/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_037/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_037/trial.json b/backend/app/Experiment_1/trial_037/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..b335b8b3ee5d706b9a56ef08c36edbc998781d82
--- /dev/null
+++ b/backend/app/Experiment_1/trial_037/trial.json
@@ -0,0 +1 @@
+{"trial_id": "037", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.0843404531478882], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.9459571838378906], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.536310076713562], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.407341867685318], "step": 0}]}}}, "score": 0.536310076713562, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_038/checkpoint b/backend/app/Experiment_1/trial_038/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_038/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_038/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_038/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_038/pipeline b/backend/app/Experiment_1/trial_038/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_038/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_038/trial.json b/backend/app/Experiment_1/trial_038/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..1e553470990e1d8e77883cf6ecdf73d19c294ef6
--- /dev/null
+++ b/backend/app/Experiment_1/trial_038/trial.json
@@ -0,0 +1 @@
+{"trial_id": "038", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.213626891374588], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.07715834677219391], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.14017140865325928], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.041853275150060654], "step": 1}]}}}, "score": 0.14017140865325928, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_039/checkpoint b/backend/app/Experiment_1/trial_039/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_039/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_039/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_039/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_039/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_039/pipeline b/backend/app/Experiment_1/trial_039/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_039/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_039/trial.json b/backend/app/Experiment_1/trial_039/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..9c835a6f06cfc216cdf371418600b0c37a073acb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_039/trial.json
@@ -0,0 +1 @@
+{"trial_id": "039", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.1888650506734848], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.06783802062273026], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.18563774228096008], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.06446544826030731], "step": 1}]}}}, "score": 0.18563774228096008, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_040/checkpoint b/backend/app/Experiment_1/trial_040/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_040/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_040/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_040/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_040/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_040/pipeline b/backend/app/Experiment_1/trial_040/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_040/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_040/trial.json b/backend/app/Experiment_1/trial_040/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..86f93f78ae17d86b881bf6e4715459fcfa4bb155
--- /dev/null
+++ b/backend/app/Experiment_1/trial_040/trial.json
@@ -0,0 +1 @@
+{"trial_id": "040", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.61015784740448], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.6068516373634338], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.2941036820411682], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.1486046016216278], "step": 1}]}}}, "score": 0.2941036820411682, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_041/checkpoint b/backend/app/Experiment_1/trial_041/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_041/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_041/pipeline b/backend/app/Experiment_1/trial_041/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_041/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_041/trial.json b/backend/app/Experiment_1/trial_041/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..5436130762a776706477897a46103b3565658bf6
--- /dev/null
+++ b/backend/app/Experiment_1/trial_041/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_042/checkpoint b/backend/app/Experiment_1/trial_042/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_042/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_042/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_042/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_042/pipeline b/backend/app/Experiment_1/trial_042/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_042/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_042/trial.json b/backend/app/Experiment_1/trial_042/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ae2fd4a17244efbf6c3ff74ef91db47d72c89eca
--- /dev/null
+++ b/backend/app/Experiment_1/trial_042/trial.json
@@ -0,0 +1 @@
+{"trial_id": "042", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.9208910465240479], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.355762004852295], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3951748013496399], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2443496733903885], "step": 0}]}}}, "score": 0.3951748013496399, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_043/checkpoint b/backend/app/Experiment_1/trial_043/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_043/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_043/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_043/checkpoint.data-00000-of-00001
new file mode 100644
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Binary files /dev/null and b/backend/app/Experiment_1/trial_043/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_043/pipeline b/backend/app/Experiment_1/trial_043/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_043/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_043/trial.json b/backend/app/Experiment_1/trial_043/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..91594c3f93cae7febaac8d00490f6c84bc667a60
--- /dev/null
+++ b/backend/app/Experiment_1/trial_043/trial.json
@@ -0,0 +1 @@
+{"trial_id": "043", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.710673987865448], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.8460707664489746], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.48228439688682556], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.3741632103919983], "step": 0}]}}}, "score": 0.48228439688682556, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_044/checkpoint b/backend/app/Experiment_1/trial_044/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_044/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_044/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_044/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_044/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_044/pipeline b/backend/app/Experiment_1/trial_044/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_044/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_044/trial.json b/backend/app/Experiment_1/trial_044/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ff58d3aa2bee3c14b9fa9f149fcd33996cc9bd0b
--- /dev/null
+++ b/backend/app/Experiment_1/trial_044/trial.json
@@ -0,0 +1 @@
+{"trial_id": "044", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.28920185565948486], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.19456398487091064], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.18456034362316132], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.06802453845739365], "step": 1}]}}}, "score": 0.18456034362316132, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_045/checkpoint b/backend/app/Experiment_1/trial_045/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_045/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_045/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_045/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_045/checkpoint.index b/backend/app/Experiment_1/trial_045/checkpoint.index
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Binary files /dev/null and b/backend/app/Experiment_1/trial_045/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_045/pipeline b/backend/app/Experiment_1/trial_045/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_045/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_045/trial.json b/backend/app/Experiment_1/trial_045/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..d139b1cfb866ff9e44ae96c227b1bb213f6b06ba
--- /dev/null
+++ b/backend/app/Experiment_1/trial_045/trial.json
@@ -0,0 +1 @@
+{"trial_id": "045", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.26438742876052856], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.12512974441051483], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.2006911039352417], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.08051895350217819], "step": 1}]}}}, "score": 0.2006911039352417, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_046/checkpoint b/backend/app/Experiment_1/trial_046/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_046/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_046/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_046/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_046/checkpoint.index b/backend/app/Experiment_1/trial_046/checkpoint.index
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Binary files /dev/null and b/backend/app/Experiment_1/trial_046/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_046/pipeline b/backend/app/Experiment_1/trial_046/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_046/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_046/trial.json b/backend/app/Experiment_1/trial_046/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..946b75763be2e18751bd951d20f1941b693a29d3
--- /dev/null
+++ b/backend/app/Experiment_1/trial_046/trial.json
@@ -0,0 +1 @@
+{"trial_id": "046", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.21819794178009033], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.08132612705230713], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.20791718363761902], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.07777722924947739], "step": 1}]}}}, "score": 0.20791718363761902, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_047/checkpoint b/backend/app/Experiment_1/trial_047/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_047/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_047/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_047/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_047/checkpoint.index b/backend/app/Experiment_1/trial_047/checkpoint.index
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diff --git a/backend/app/Experiment_1/trial_047/pipeline b/backend/app/Experiment_1/trial_047/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_047/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_047/trial.json b/backend/app/Experiment_1/trial_047/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..23c10736154dd95d53b8d4bdce7df95d68266fc8
--- /dev/null
+++ b/backend/app/Experiment_1/trial_047/trial.json
@@ -0,0 +1 @@
+{"trial_id": "047", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.39335450530052185], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.250127911567688], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3712001144886017], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.22862017154693604], "step": 1}]}}}, "score": 0.3712001144886017, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_048/checkpoint b/backend/app/Experiment_1/trial_048/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_048/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_048/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_048/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_048/pipeline b/backend/app/Experiment_1/trial_048/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_048/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_048/trial.json b/backend/app/Experiment_1/trial_048/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ddf93373d55ebd0af6370012a2d1e89878e33e01
--- /dev/null
+++ b/backend/app/Experiment_1/trial_048/trial.json
@@ -0,0 +1 @@
+{"trial_id": "048", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.7416161894798279], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.9312954545021057], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.49188071489334106], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.36074918508529663], "step": 1}]}}}, "score": 0.49188071489334106, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_049/checkpoint b/backend/app/Experiment_1/trial_049/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_049/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_049/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_049/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_049/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_049/pipeline b/backend/app/Experiment_1/trial_049/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_049/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_049/trial.json b/backend/app/Experiment_1/trial_049/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..cc8c55d844da249304ec65496764e0416ecbde06
--- /dev/null
+++ b/backend/app/Experiment_1/trial_049/trial.json
@@ -0,0 +1 @@
+{"trial_id": "049", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.4563193917274475], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.361889511346817], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.22573846578598022], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.09207937866449356], "step": 1}]}}}, "score": 0.22573846578598022, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_050/checkpoint b/backend/app/Experiment_1/trial_050/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_050/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_050/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_050/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_050/pipeline b/backend/app/Experiment_1/trial_050/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_050/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_050/trial.json b/backend/app/Experiment_1/trial_050/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..78cc292c2b9fe1fd68988162ca1882d16e8c9ae0
--- /dev/null
+++ b/backend/app/Experiment_1/trial_050/trial.json
@@ -0,0 +1 @@
+{"trial_id": "050", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.3030555546283722], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.16274011135101318], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.25305360555648804], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.12974433600902557], "step": 1}]}}}, "score": 0.25305360555648804, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_051/checkpoint b/backend/app/Experiment_1/trial_051/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_051/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_051/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_051/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_051/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_051/pipeline b/backend/app/Experiment_1/trial_051/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_051/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_051/trial.json b/backend/app/Experiment_1/trial_051/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..1a1540cda12691ba1bc756945d1ca86f203b4e44
--- /dev/null
+++ b/backend/app/Experiment_1/trial_051/trial.json
@@ -0,0 +1 @@
+{"trial_id": "051", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.1923830807209015], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.0683646947145462], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.16344496607780457], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05449831858277321], "step": 1}]}}}, "score": 0.16344496607780457, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_052/checkpoint b/backend/app/Experiment_1/trial_052/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_052/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_052/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_052/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_052/pipeline b/backend/app/Experiment_1/trial_052/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_052/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_052/trial.json b/backend/app/Experiment_1/trial_052/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..930986ff6868576f56d2cf4633b3cdbf5132e7a1
--- /dev/null
+++ b/backend/app/Experiment_1/trial_052/trial.json
@@ -0,0 +1 @@
+{"trial_id": "052", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.0953751802444458], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.1582465171813965], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.4149688482284546], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.28155115246772766], "step": 0}]}}}, "score": 0.4149688482284546, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_053/checkpoint b/backend/app/Experiment_1/trial_053/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_053/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_053/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_053/checkpoint.data-00000-of-00001
new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_053/checkpoint.index b/backend/app/Experiment_1/trial_053/checkpoint.index
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Binary files /dev/null and b/backend/app/Experiment_1/trial_053/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_053/pipeline b/backend/app/Experiment_1/trial_053/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_053/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_053/trial.json b/backend/app/Experiment_1/trial_053/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..8020279366fab484eefa75c2bdebe36091c12a2d
--- /dev/null
+++ b/backend/app/Experiment_1/trial_053/trial.json
@@ -0,0 +1 @@
+{"trial_id": "053", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.3586496114730835], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.20728138089179993], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3440408706665039], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.19103604555130005], "step": 1}]}}}, "score": 0.3440408706665039, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_054/checkpoint b/backend/app/Experiment_1/trial_054/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_054/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_054/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_054/checkpoint.data-00000-of-00001
new file mode 100644
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Binary files /dev/null and b/backend/app/Experiment_1/trial_054/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_054/pipeline b/backend/app/Experiment_1/trial_054/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_054/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_054/trial.json b/backend/app/Experiment_1/trial_054/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..66cbd4963c37a480b8162cec5108842de7d9e084
--- /dev/null
+++ b/backend/app/Experiment_1/trial_054/trial.json
@@ -0,0 +1 @@
+{"trial_id": "054", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.1764084100723267], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.3630714416503906], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.37032002210617065], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.23888081312179565], "step": 0}]}}}, "score": 0.37032002210617065, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_055/checkpoint b/backend/app/Experiment_1/trial_055/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_055/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_055/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_055/checkpoint.data-00000-of-00001
new file mode 100644
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Binary files /dev/null and b/backend/app/Experiment_1/trial_055/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_055/pipeline b/backend/app/Experiment_1/trial_055/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_055/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_055/trial.json b/backend/app/Experiment_1/trial_055/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..fd277d46b0d5af016f2a41d67ff0e5f90b91996f
--- /dev/null
+++ b/backend/app/Experiment_1/trial_055/trial.json
@@ -0,0 +1 @@
+{"trial_id": "055", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.3631037771701813], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.23362722992897034], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.2946814000606537], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.15053690969944], "step": 1}]}}}, "score": 0.2946814000606537, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_056/checkpoint b/backend/app/Experiment_1/trial_056/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_056/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_056/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_056/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_056/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_056/pipeline b/backend/app/Experiment_1/trial_056/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_056/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_056/trial.json b/backend/app/Experiment_1/trial_056/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..5f0a9cf7c1b9c937d526b895d81c8060b5cdda26
--- /dev/null
+++ b/backend/app/Experiment_1/trial_056/trial.json
@@ -0,0 +1 @@
+{"trial_id": "056", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 2e-05, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.8863970041275024], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.3901110887527466], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.34383541345596313], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.22699226438999176], "step": 0}]}}}, "score": 0.34383541345596313, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_057/checkpoint b/backend/app/Experiment_1/trial_057/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_057/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_057/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_057/checkpoint.data-00000-of-00001
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new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_057/pipeline b/backend/app/Experiment_1/trial_057/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_057/trial.json b/backend/app/Experiment_1/trial_057/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..1cb0b4ad96101367cfee56dfc0596fcb22600a8d
--- /dev/null
+++ b/backend/app/Experiment_1/trial_057/trial.json
@@ -0,0 +1 @@
+{"trial_id": "057", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.9614455103874207], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.541734218597412], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.5490543842315674], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.5007480978965759], "step": 0}]}}}, "score": 0.5490543842315674, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_058/checkpoint b/backend/app/Experiment_1/trial_058/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_058/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_058/pipeline b/backend/app/Experiment_1/trial_058/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_058/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_058/trial.json b/backend/app/Experiment_1/trial_058/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..e371fc94ea999312acdd197ec3e6cc7875628868
--- /dev/null
+++ b/backend/app/Experiment_1/trial_058/trial.json
@@ -0,0 +1 @@
+{"trial_id": "058", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.16683714091777802], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.0586751364171505], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.15180987119674683], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.04983377084136009], "step": 1}]}}}, "score": 0.15180987119674683, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_059/checkpoint b/backend/app/Experiment_1/trial_059/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_059/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_059/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_059/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_059/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_059/pipeline b/backend/app/Experiment_1/trial_059/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_059/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_059/trial.json b/backend/app/Experiment_1/trial_059/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..fcd3c7633272227fee5f10affd6b78ed56850256
--- /dev/null
+++ b/backend/app/Experiment_1/trial_059/trial.json
@@ -0,0 +1 @@
+{"trial_id": "059", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "sgd", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.1457005739212036], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.161830425262451], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.40713396668434143], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.26658758521080017], "step": 0}]}}}, "score": 0.40713396668434143, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_060/checkpoint b/backend/app/Experiment_1/trial_060/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_060/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_060/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_060/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_060/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_060/pipeline b/backend/app/Experiment_1/trial_060/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_060/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_060/trial.json b/backend/app/Experiment_1/trial_060/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..69b5b8663aa69ca48a60b5e342800cf03a9b8bc3
--- /dev/null
+++ b/backend/app/Experiment_1/trial_060/trial.json
@@ -0,0 +1 @@
+{"trial_id": "060", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.2659213542938232], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [96.08544921875], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.15646244585514069], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05490786209702492], "step": 0}]}}}, "score": 0.15646244585514069, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_061/checkpoint b/backend/app/Experiment_1/trial_061/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_061/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_061/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_061/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_061/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_061/pipeline b/backend/app/Experiment_1/trial_061/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_061/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_061/trial.json b/backend/app/Experiment_1/trial_061/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..bf82a4ae0ca3e9206db2778b8d0f00e0eb0a7bf2
--- /dev/null
+++ b/backend/app/Experiment_1/trial_061/trial.json
@@ -0,0 +1 @@
+{"trial_id": "061", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.34754639863967896], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.21101486682891846], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3319287896156311], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.20329803228378296], "step": 1}]}}}, "score": 0.3319287896156311, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_062/checkpoint b/backend/app/Experiment_1/trial_062/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_062/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_062/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_062/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_062/pipeline b/backend/app/Experiment_1/trial_062/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_062/trial.json b/backend/app/Experiment_1/trial_062/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..7fc223e397a42841d053eb93e86110ee2d1def86
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+++ b/backend/app/Experiment_1/trial_062/trial.json
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+{"trial_id": "062", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.2008836418390274], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.07329647243022919], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.1618865430355072], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05121679976582527], "step": 1}]}}}, "score": 0.1618865430355072, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_063/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_063/pipeline b/backend/app/Experiment_1/trial_063/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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+++ b/backend/app/Experiment_1/trial_063/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_063/trial.json b/backend/app/Experiment_1/trial_063/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..77b5da3938f4bda35a07095edb9096b791c93cb8
--- /dev/null
+++ b/backend/app/Experiment_1/trial_063/trial.json
@@ -0,0 +1 @@
+{"trial_id": "063", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.019859790802002], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.8042632341384888], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3771071434020996], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.20928466320037842], "step": 0}]}}}, "score": 0.3771071434020996, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_064/checkpoint b/backend/app/Experiment_1/trial_064/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_064/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_064/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_064/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_064/pipeline b/backend/app/Experiment_1/trial_064/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_064/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_064/trial.json b/backend/app/Experiment_1/trial_064/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..abb10d11048b85aa3831f4632fac7d24333933d2
--- /dev/null
+++ b/backend/app/Experiment_1/trial_064/trial.json
@@ -0,0 +1 @@
+{"trial_id": "064", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.4922560155391693], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.3844435513019562], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.4855896830558777], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.3763029873371124], "step": 1}]}}}, "score": 0.4855896830558777, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_065/checkpoint b/backend/app/Experiment_1/trial_065/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_065/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_065/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_065/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_065/pipeline b/backend/app/Experiment_1/trial_065/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_065/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_065/trial.json b/backend/app/Experiment_1/trial_065/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..d23403eb433aad59810a4cf2e8b8a07e89dea5fb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_065/trial.json
@@ -0,0 +1 @@
+{"trial_id": "065", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.9144690632820129], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.3810710906982422], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.22774545848369598], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.09147391468286514], "step": 1}]}}}, "score": 0.22774545848369598, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_066/checkpoint b/backend/app/Experiment_1/trial_066/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_066/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_066/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_066/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_066/pipeline b/backend/app/Experiment_1/trial_066/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_066/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_066/trial.json b/backend/app/Experiment_1/trial_066/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..f228aba1120e8f3ea80639c54f460f6d14fb4db5
--- /dev/null
+++ b/backend/app/Experiment_1/trial_066/trial.json
@@ -0,0 +1 @@
+{"trial_id": "066", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.21204409003257751], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.07771318405866623], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.20756377279758453], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.09044726938009262], "step": 1}]}}}, "score": 0.20756377279758453, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_067/checkpoint b/backend/app/Experiment_1/trial_067/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_067/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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Binary files /dev/null and b/backend/app/Experiment_1/trial_067/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_067/pipeline b/backend/app/Experiment_1/trial_067/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
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+++ b/backend/app/Experiment_1/trial_067/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_067/trial.json b/backend/app/Experiment_1/trial_067/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..c36f326833d8fa6375ac03d7233d8500b8b0e1df
--- /dev/null
+++ b/backend/app/Experiment_1/trial_067/trial.json
@@ -0,0 +1 @@
+{"trial_id": "067", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.46841007471084595], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.34859853982925415], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3705568313598633], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.22777873277664185], "step": 1}]}}}, "score": 0.3705568313598633, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_068/checkpoint b/backend/app/Experiment_1/trial_068/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_068/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_068/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_068/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_068/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_068/pipeline b/backend/app/Experiment_1/trial_068/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_068/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_068/trial.json b/backend/app/Experiment_1/trial_068/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..6a1b9496f9b932e6ed310bce687eb3aa2fab4d34
--- /dev/null
+++ b/backend/app/Experiment_1/trial_068/trial.json
@@ -0,0 +1 @@
+{"trial_id": "068", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 16, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.1509450376033783], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.051332615315914154], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.1424812525510788], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.04636809229850769], "step": 1}]}}}, "score": 0.1424812525510788, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_069/checkpoint b/backend/app/Experiment_1/trial_069/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_069/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_069/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_069/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_069/pipeline b/backend/app/Experiment_1/trial_069/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_069/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_069/trial.json b/backend/app/Experiment_1/trial_069/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..0ba64ce52b5e5b9c6e26d5647e118c8cbc7d8d37
--- /dev/null
+++ b/backend/app/Experiment_1/trial_069/trial.json
@@ -0,0 +1 @@
+{"trial_id": "069", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.7028517127037048], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.782933235168457], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.40743815898895264], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.2664405405521393], "step": 0}]}}}, "score": 0.40743815898895264, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_070/checkpoint b/backend/app/Experiment_1/trial_070/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_070/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_070/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_070/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_070/pipeline b/backend/app/Experiment_1/trial_070/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_070/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_070/trial.json b/backend/app/Experiment_1/trial_070/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..2e3491838fd91642b5018c80ab6d472f40721c01
--- /dev/null
+++ b/backend/app/Experiment_1/trial_070/trial.json
@@ -0,0 +1 @@
+{"trial_id": "070", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.15727868676185608], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.051436230540275574], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.13910722732543945], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.04347820207476616], "step": 1}]}}}, "score": 0.13910722732543945, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_071/checkpoint b/backend/app/Experiment_1/trial_071/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_071/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_071/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_071/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_071/pipeline b/backend/app/Experiment_1/trial_071/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_071/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_071/trial.json b/backend/app/Experiment_1/trial_071/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..f26121c830fa188d581bfb56f4e5e517028d92a4
--- /dev/null
+++ b/backend/app/Experiment_1/trial_071/trial.json
@@ -0,0 +1 @@
+{"trial_id": "071", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.24391639232635498], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.10406022518873215], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.16111837327480316], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05165728181600571], "step": 1}]}}}, "score": 0.16111837327480316, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_072/checkpoint b/backend/app/Experiment_1/trial_072/checkpoint
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@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_072/pipeline b/backend/app/Experiment_1/trial_072/pipeline
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_072/trial.json b/backend/app/Experiment_1/trial_072/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..caf96d1957627cdf999b949690c967094d8d0c4a
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@@ -0,0 +1 @@
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+++ b/backend/app/Experiment_1/trial_073/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_073/pipeline b/backend/app/Experiment_1/trial_073/pipeline
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+++ b/backend/app/Experiment_1/trial_073/pipeline
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_073/trial.json b/backend/app/Experiment_1/trial_073/trial.json
new file mode 100644
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--- /dev/null
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+++ b/backend/app/Experiment_1/trial_074/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_074/pipeline b/backend/app/Experiment_1/trial_074/pipeline
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+++ b/backend/app/Experiment_1/trial_074/pipeline
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_074/trial.json b/backend/app/Experiment_1/trial_074/trial.json
new file mode 100644
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+++ b/backend/app/Experiment_1/trial_074/trial.json
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\ No newline at end of file
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_075/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_075/pipeline b/backend/app/Experiment_1/trial_075/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_075/pipeline
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_075/trial.json b/backend/app/Experiment_1/trial_075/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_075/trial.json
@@ -0,0 +1 @@
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_076/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_076/pipeline b/backend/app/Experiment_1/trial_076/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_076/pipeline
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_076/trial.json b/backend/app/Experiment_1/trial_076/trial.json
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_076/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_077/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_077/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_077/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_077/pipeline b/backend/app/Experiment_1/trial_077/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_077/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_077/trial.json b/backend/app/Experiment_1/trial_077/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..78058f63e0b1e04c5c9b1fba3eaf6acfc0434add
--- /dev/null
+++ b/backend/app/Experiment_1/trial_077/trial.json
@@ -0,0 +1 @@
+{"trial_id": "077", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [12.78297233581543], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [15575.71875], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.1606084108352661], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.055633753538131714], "step": 0}]}}}, "score": 0.1606084108352661, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_078/checkpoint b/backend/app/Experiment_1/trial_078/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_078/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_078/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_078/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_078/pipeline b/backend/app/Experiment_1/trial_078/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_078/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_078/trial.json b/backend/app/Experiment_1/trial_078/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..757e0df7a8adf9a3fa4213a4973236f871378848
--- /dev/null
+++ b/backend/app/Experiment_1/trial_078/trial.json
@@ -0,0 +1 @@
+{"trial_id": "078", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.9133925437927246], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.3964601755142212], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3900158405303955], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.24186751246452332], "step": 0}]}}}, "score": 0.3900158405303955, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_079/checkpoint b/backend/app/Experiment_1/trial_079/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_079/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_079/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_079/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_079/pipeline b/backend/app/Experiment_1/trial_079/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_079/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_079/trial.json b/backend/app/Experiment_1/trial_079/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..91d1a6172f2fd2de5fdbd9a4dcda893fb59378ea
--- /dev/null
+++ b/backend/app/Experiment_1/trial_079/trial.json
@@ -0,0 +1 @@
+{"trial_id": "079", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.5, "optimizer": "sgd", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.3313794136047363], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [2.903892993927002], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.74616539478302], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.8405887484550476], "step": 1}]}}}, "score": 0.74616539478302, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_080/checkpoint b/backend/app/Experiment_1/trial_080/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_080/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_080/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_080/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_080/pipeline b/backend/app/Experiment_1/trial_080/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_080/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_080/trial.json b/backend/app/Experiment_1/trial_080/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..409e9144a450275d83f9c9187a5dfd65cc9b5800
--- /dev/null
+++ b/backend/app/Experiment_1/trial_080/trial.json
@@ -0,0 +1 @@
+{"trial_id": "080", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.25, "optimizer": "adam_weight_decay", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.41303059458732605], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.28454428911209106], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.2061888426542282], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.07177670300006866], "step": 1}]}}}, "score": 0.2061888426542282, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_081/checkpoint b/backend/app/Experiment_1/trial_081/checkpoint
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_081/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_081/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_081/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_081/pipeline b/backend/app/Experiment_1/trial_081/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_081/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_081/trial.json b/backend/app/Experiment_1/trial_081/trial.json
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+++ b/backend/app/Experiment_1/trial_081/trial.json
@@ -0,0 +1 @@
+{"trial_id": "081", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 64, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.15475116670131683], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.04816962033510208], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.12739574909210205], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.03698960319161415], "step": 1}]}}}, "score": 0.12739574909210205, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_082/checkpoint b/backend/app/Experiment_1/trial_082/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_082/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_082/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_082/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_082/pipeline b/backend/app/Experiment_1/trial_082/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_082/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_082/trial.json b/backend/app/Experiment_1/trial_082/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..079c4415cbd01672c6fb761142161951150a0ac0
--- /dev/null
+++ b/backend/app/Experiment_1/trial_082/trial.json
@@ -0,0 +1 @@
+{"trial_id": "082", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.4483754336833954], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.9285922646522522], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.16399696469306946], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05444080010056496], "step": 1}]}}}, "score": 0.16399696469306946, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_083/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_083/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_083/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_083/pipeline b/backend/app/Experiment_1/trial_083/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_083/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_083/trial.json b/backend/app/Experiment_1/trial_083/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..bb3b53a9e468248d9d37f2b39e1b7b6f5d6f640d
--- /dev/null
+++ b/backend/app/Experiment_1/trial_083/trial.json
@@ -0,0 +1 @@
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\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_084/checkpoint b/backend/app/Experiment_1/trial_084/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_084/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_084/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_084/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_084/pipeline b/backend/app/Experiment_1/trial_084/pipeline
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_084/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_084/trial.json b/backend/app/Experiment_1/trial_084/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..c15c9f321564a9ac2dcec4790e350de643273036
--- /dev/null
+++ b/backend/app/Experiment_1/trial_084/trial.json
@@ -0,0 +1 @@
+{"trial_id": "084", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.1180044412612915], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.9857808351516724], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.7541574239730835], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.858716607093811], "step": 1}]}}}, "score": 0.7541574239730835, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_085/checkpoint b/backend/app/Experiment_1/trial_085/checkpoint
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_085/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_085/pipeline b/backend/app/Experiment_1/trial_085/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_085/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_085/trial.json b/backend/app/Experiment_1/trial_085/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..f4a394b19308ce1069493647b2b52ad9d46b1099
--- /dev/null
+++ b/backend/app/Experiment_1/trial_085/trial.json
@@ -0,0 +1 @@
+{"trial_id": "085", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 256, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.15327173471450806], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.0517054982483387], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.1519223153591156], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.050725169479846954], "step": 1}]}}}, "score": 0.1519223153591156, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_086/checkpoint b/backend/app/Experiment_1/trial_086/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_086/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_086/checkpoint.index b/backend/app/Experiment_1/trial_086/checkpoint.index
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diff --git a/backend/app/Experiment_1/trial_086/pipeline b/backend/app/Experiment_1/trial_086/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_086/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_086/trial.json b/backend/app/Experiment_1/trial_086/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..232fb733179892514afea84875488ffc7b5b9ce3
--- /dev/null
+++ b/backend/app/Experiment_1/trial_086/trial.json
@@ -0,0 +1 @@
+{"trial_id": "086", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.27416661381721497], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.13392585515975952], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.16999758780002594], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.058418162167072296], "step": 1}]}}}, "score": 0.16999758780002594, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_087/checkpoint b/backend/app/Experiment_1/trial_087/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_087/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_087/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_087/checkpoint.data-00000-of-00001
new file mode 100644
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diff --git a/backend/app/Experiment_1/trial_087/checkpoint.index b/backend/app/Experiment_1/trial_087/checkpoint.index
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Binary files /dev/null and b/backend/app/Experiment_1/trial_087/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_087/pipeline b/backend/app/Experiment_1/trial_087/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_087/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_087/trial.json b/backend/app/Experiment_1/trial_087/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..70014341d3e00e88421b507092005d8feb627ef0
--- /dev/null
+++ b/backend/app/Experiment_1/trial_087/trial.json
@@ -0,0 +1 @@
+{"trial_id": "087", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.0, "optimizer": "sgd", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.3560478687286377], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [3.1141319274902344], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.7442376017570496], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [1.083300232887268], "step": 1}]}}}, "score": 0.7442376017570496, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_088/checkpoint b/backend/app/Experiment_1/trial_088/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_088/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_088/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_088/checkpoint.data-00000-of-00001
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Binary files /dev/null and b/backend/app/Experiment_1/trial_088/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_088/pipeline b/backend/app/Experiment_1/trial_088/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_088/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_088/trial.json b/backend/app/Experiment_1/trial_088/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..b29a68900e92b6a037c54cac2c399091ffcbddf6
--- /dev/null
+++ b/backend/app/Experiment_1/trial_088/trial.json
@@ -0,0 +1 @@
+{"trial_id": "088", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 128, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.16381685435771942], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.053282707929611206], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.15464863181114197], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05153988301753998], "step": 1}]}}}, "score": 0.15464863181114197, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_089/checkpoint b/backend/app/Experiment_1/trial_089/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_089/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_089/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_089/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_089/pipeline b/backend/app/Experiment_1/trial_089/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_089/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_089/trial.json b/backend/app/Experiment_1/trial_089/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..e4edb234a03ff1ce3b9ebbe80ce4d4d8a343108e
--- /dev/null
+++ b/backend/app/Experiment_1/trial_089/trial.json
@@ -0,0 +1 @@
+{"trial_id": "089", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 1024, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 32, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [1.0902867317199707], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.9580178260803223], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.5439044833183289], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.40717098116874695], "step": 0}]}}}, "score": 0.5439044833183289, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_090/checkpoint b/backend/app/Experiment_1/trial_090/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_090/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_090/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_090/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_090/pipeline b/backend/app/Experiment_1/trial_090/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_090/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_090/trial.json b/backend/app/Experiment_1/trial_090/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..9b619a27f2c762cae3e1e86bfc51d9b62a9c4ae0
--- /dev/null
+++ b/backend/app/Experiment_1/trial_090/trial.json
@@ -0,0 +1 @@
+{"trial_id": "090", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 512, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.001, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5048725605010986], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.4157537519931793], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.2705967128276825], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.1388786882162094], "step": 1}]}}}, "score": 0.2705967128276825, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_091/checkpoint b/backend/app/Experiment_1/trial_091/checkpoint
new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_091/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_091/pipeline b/backend/app/Experiment_1/trial_091/pipeline
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+++ b/backend/app/Experiment_1/trial_091/pipeline
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+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_091/trial.json b/backend/app/Experiment_1/trial_091/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..2c288f0becf7f38da23492728068dc0c5381a550
--- /dev/null
+++ b/backend/app/Experiment_1/trial_091/trial.json
@@ -0,0 +1 @@
+{"trial_id": "091", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 128, "regression_head_1/dropout": 0.0, "optimizer": "adam_weight_decay", "learning_rate": 0.01, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.13946057856082916], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.04447104036808014], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.13154371082782745], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.03852449730038643], "step": 1}]}}}, "score": 0.13154371082782745, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_092/checkpoint b/backend/app/Experiment_1/trial_092/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_092/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_092/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_092/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_092/pipeline b/backend/app/Experiment_1/trial_092/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_092/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_092/trial.json b/backend/app/Experiment_1/trial_092/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..9527a4ae84ebfd551ff6f2b97cceba591e6badd4
--- /dev/null
+++ b/backend/app/Experiment_1/trial_092/trial.json
@@ -0,0 +1 @@
+{"trial_id": "092", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 128, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.306308388710022], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.1713825911283493], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.19271287322044373], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.07371439039707184], "step": 1}]}}}, "score": 0.19271287322044373, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_093/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_093/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_093/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_093/pipeline b/backend/app/Experiment_1/trial_093/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_093/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_093/trial.json b/backend/app/Experiment_1/trial_093/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..ce8b32ec08f63e4d0c2dd8ae0ff9f0f65933f6d3
--- /dev/null
+++ b/backend/app/Experiment_1/trial_093/trial.json
@@ -0,0 +1 @@
+{"trial_id": "093", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.5625678300857544], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.5080792903900146], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.47030383348464966], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.34571823477745056], "step": 1}]}}}, "score": 0.47030383348464966, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_094/checkpoint b/backend/app/Experiment_1/trial_094/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_094/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_094/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_094/checkpoint.data-00000-of-00001
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diff --git a/backend/app/Experiment_1/trial_094/pipeline b/backend/app/Experiment_1/trial_094/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_094/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_094/trial.json b/backend/app/Experiment_1/trial_094/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..120254fe3e0c8827407f101c8979354b2f1ef7cf
--- /dev/null
+++ b/backend/app/Experiment_1/trial_094/trial.json
@@ -0,0 +1 @@
+{"trial_id": "094", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 256, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.0, "optimizer": "adam", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.21940597891807556], "step": 0}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.26144519448280334], "step": 0}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.15702448785305023], "step": 0}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05590720474720001], "step": 0}]}}}, "score": 0.15702448785305023, "best_step": 0, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_095/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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diff --git a/backend/app/Experiment_1/trial_095/pipeline b/backend/app/Experiment_1/trial_095/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_095/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_095/trial.json b/backend/app/Experiment_1/trial_095/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..6510cb24e040c808d195bbfcc4759a66f8fdc60a
--- /dev/null
+++ b/backend/app/Experiment_1/trial_095/trial.json
@@ -0,0 +1 @@
+{"trial_id": "095", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 32, "regression_head_1/dropout": 0.25, "optimizer": "adam", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.4410674273967743], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.3122464418411255], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3929448425769806], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.25059348344802856], "step": 1}]}}}, "score": 0.3929448425769806, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
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new file mode 100644
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--- /dev/null
+++ b/backend/app/Experiment_1/trial_096/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
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index 0000000000000000000000000000000000000000..00507e9c1848e890a39ef6df0335ffb08c629ba7
Binary files /dev/null and b/backend/app/Experiment_1/trial_096/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_096/pipeline b/backend/app/Experiment_1/trial_096/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_096/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_096/trial.json b/backend/app/Experiment_1/trial_096/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..96dd84ccebab90760728f03d134f2b3dfacdda00
--- /dev/null
+++ b/backend/app/Experiment_1/trial_096/trial.json
@@ -0,0 +1 @@
+{"trial_id": "096", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": true, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.25, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.5, "optimizer": "adam", "learning_rate": 0.1, "structured_data_block_1/dense_block_1/units_2": 1024, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.16171923279762268], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.05874427780508995], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.1612938940525055], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.05847173184156418], "step": 1}]}}}, "score": 0.1612938940525055, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_097/checkpoint b/backend/app/Experiment_1/trial_097/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_097/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_097/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_097/checkpoint.data-00000-of-00001
new file mode 100644
index 0000000000000000000000000000000000000000..8f02ee4745614efa45e1370b2b68da49576db929
Binary files /dev/null and b/backend/app/Experiment_1/trial_097/checkpoint.data-00000-of-00001 differ
diff --git a/backend/app/Experiment_1/trial_097/checkpoint.index b/backend/app/Experiment_1/trial_097/checkpoint.index
new file mode 100644
index 0000000000000000000000000000000000000000..30cf18f79c1f0a8aea43af24f3aa18656544d47f
Binary files /dev/null and b/backend/app/Experiment_1/trial_097/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_097/pipeline b/backend/app/Experiment_1/trial_097/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_097/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_097/trial.json b/backend/app/Experiment_1/trial_097/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..4065896753ca5e472f9f46549707872807b3c144
--- /dev/null
+++ b/backend/app/Experiment_1/trial_097/trial.json
@@ -0,0 +1 @@
+{"trial_id": "097", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 3, "structured_data_block_1/dense_block_1/units_0": 64, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 512, "regression_head_1/dropout": 0.5, "optimizer": "sgd", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 16, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.788375973701477], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.1902925968170166], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.4562757611274719], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.29451313614845276], "step": 1}]}}}, "score": 0.4562757611274719, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_098/checkpoint b/backend/app/Experiment_1/trial_098/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_098/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_098/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_098/checkpoint.data-00000-of-00001
new file mode 100644
index 0000000000000000000000000000000000000000..5f8dc246f01d39c6bd379ef698faf23e4567c378
Binary files /dev/null and b/backend/app/Experiment_1/trial_098/checkpoint.data-00000-of-00001 differ
diff --git a/backend/app/Experiment_1/trial_098/checkpoint.index b/backend/app/Experiment_1/trial_098/checkpoint.index
new file mode 100644
index 0000000000000000000000000000000000000000..1066a08af008ce46218dbb6679035a54985b4cdd
Binary files /dev/null and b/backend/app/Experiment_1/trial_098/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_098/pipeline b/backend/app/Experiment_1/trial_098/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_098/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_098/trial.json b/backend/app/Experiment_1/trial_098/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..550df3196c718f5334f18bbe1659cdb543f9a2c1
--- /dev/null
+++ b/backend/app/Experiment_1/trial_098/trial.json
@@ -0,0 +1 @@
+{"trial_id": "098", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": false, "structured_data_block_1/dense_block_1/num_layers": 2, "structured_data_block_1/dense_block_1/units_0": 1024, "structured_data_block_1/dense_block_1/dropout": 0.5, "structured_data_block_1/dense_block_1/units_1": 16, "regression_head_1/dropout": 0.5, "optimizer": "adam_weight_decay", "learning_rate": 0.0001, "structured_data_block_1/dense_block_1/units_2": 256, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.513728678226471], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [0.48501306772232056], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.3164394795894623], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [0.19753210246562958], "step": 1}]}}}, "score": 0.3164394795894623, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_099/checkpoint b/backend/app/Experiment_1/trial_099/checkpoint
new file mode 100644
index 0000000000000000000000000000000000000000..5be71fcccd7de38d938cc0eba59a43e4021ad153
--- /dev/null
+++ b/backend/app/Experiment_1/trial_099/checkpoint
@@ -0,0 +1,2 @@
+model_checkpoint_path: "checkpoint"
+all_model_checkpoint_paths: "checkpoint"
diff --git a/backend/app/Experiment_1/trial_099/checkpoint.data-00000-of-00001 b/backend/app/Experiment_1/trial_099/checkpoint.data-00000-of-00001
new file mode 100644
index 0000000000000000000000000000000000000000..bc94f6af30ff315d442a9f14b8e66ed366374d7b
Binary files /dev/null and b/backend/app/Experiment_1/trial_099/checkpoint.data-00000-of-00001 differ
diff --git a/backend/app/Experiment_1/trial_099/checkpoint.index b/backend/app/Experiment_1/trial_099/checkpoint.index
new file mode 100644
index 0000000000000000000000000000000000000000..9b3febcdff009ce5d9aa582456277a06bac08159
Binary files /dev/null and b/backend/app/Experiment_1/trial_099/checkpoint.index differ
diff --git a/backend/app/Experiment_1/trial_099/pipeline b/backend/app/Experiment_1/trial_099/pipeline
new file mode 100644
index 0000000000000000000000000000000000000000..e7008ab4024705e9bd1fac937d3bfda0c9c0cfbb
--- /dev/null
+++ b/backend/app/Experiment_1/trial_099/pipeline
@@ -0,0 +1 @@
+{"inputs": [[]], "outputs": [[]]}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/trial_099/trial.json b/backend/app/Experiment_1/trial_099/trial.json
new file mode 100644
index 0000000000000000000000000000000000000000..20b06b105b6ecd43485a51734f7acc2bf5e967ee
--- /dev/null
+++ b/backend/app/Experiment_1/trial_099/trial.json
@@ -0,0 +1 @@
+{"trial_id": "099", "hyperparameters": {"space": [{"class_name": "Boolean", "config": {"name": "structured_data_block_1/normalize", "default": false, "conditions": []}}, {"class_name": "Boolean", "config": {"name": "structured_data_block_1/dense_block_1/use_batchnorm", "default": false, "conditions": []}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/num_layers", "default": 2, "conditions": [], "values": [1, 2, 3], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_0", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/dropout", "default": 0.0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_1", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}, {"class_name": "Choice", "config": {"name": "regression_head_1/dropout", "default": 0, "conditions": [], "values": [0.0, 0.25, 0.5], "ordered": true}}, {"class_name": "Choice", "config": {"name": "optimizer", "default": "adam", "conditions": [], "values": ["adam", "sgd", "adam_weight_decay"], "ordered": false}}, {"class_name": "Choice", "config": {"name": "learning_rate", "default": 0.001, "conditions": [], "values": [0.1, 0.01, 0.001, 0.0001, 2e-05, 1e-05], "ordered": true}}, {"class_name": "Choice", "config": {"name": "structured_data_block_1/dense_block_1/units_2", "default": 32, "conditions": [], "values": [16, 32, 64, 128, 256, 512, 1024], "ordered": true}}], "values": {"structured_data_block_1/normalize": false, "structured_data_block_1/dense_block_1/use_batchnorm": true, "structured_data_block_1/dense_block_1/num_layers": 1, "structured_data_block_1/dense_block_1/units_0": 32, "structured_data_block_1/dense_block_1/dropout": 0.0, "structured_data_block_1/dense_block_1/units_1": 64, "regression_head_1/dropout": 0.25, "optimizer": "sgd", "learning_rate": 1e-05, "structured_data_block_1/dense_block_1/units_2": 512, "tuner/epochs": 2, "tuner/initial_epoch": 0, "tuner/bracket": 6, "tuner/round": 0}}, "metrics": {"metrics": {"loss": {"direction": "min", "observations": [{"value": [0.8866209387779236], "step": 1}]}, "mean_squared_error": {"direction": "min", "observations": [{"value": [1.3208469152450562], "step": 1}]}, "val_loss": {"direction": "min", "observations": [{"value": [0.9025714993476868], "step": 1}]}, "val_mean_squared_error": {"direction": "min", "observations": [{"value": [1.417110562324524], "step": 1}]}}}, "score": 0.9025714993476868, "best_step": 1, "status": "COMPLETED", "message": null}
\ No newline at end of file
diff --git a/backend/app/Experiment_1/tuner0.json b/backend/app/Experiment_1/tuner0.json
new file mode 100644
index 0000000000000000000000000000000000000000..a0f8f7c33a46a9737a398621e51ca2ea7790d29e
--- /dev/null
+++ b/backend/app/Experiment_1/tuner0.json
@@ -0,0 +1 @@
+{"finished": false}
\ No newline at end of file
diff --git a/backend/app/__pycache__/api.cpython-39.pyc b/backend/app/__pycache__/api.cpython-39.pyc
index 40afe197141822386e11e0867f3898b916f97864..c8c9f0072ddb95d484d535ff5441436882fddbc1 100644
Binary files a/backend/app/__pycache__/api.cpython-39.pyc and b/backend/app/__pycache__/api.cpython-39.pyc differ
diff --git a/backend/app/__pycache__/config.cpython-39.pyc b/backend/app/__pycache__/config.cpython-39.pyc
index a5aecc179b99079ab55471af794cecc0eed97d37..dc58b5d764f73b93cf5ffd27f9965d6b724bc8a7 100644
Binary files a/backend/app/__pycache__/config.cpython-39.pyc and b/backend/app/__pycache__/config.cpython-39.pyc differ
diff --git a/backend/app/config.py b/backend/app/config.py
index 9a169a8869253f9de58d31d901cf2a3134923213..8ea8775e18a5f3a797e5f08988047b117b610efd 100644
--- a/backend/app/config.py
+++ b/backend/app/config.py
@@ -1,10 +1,12 @@
 import os
 
-UPLOAD_DIRECTORY = "./app/datas/" # same as data directory
+UPLOAD_DIRECTORY = "./app/datas/uploads/" # same as data directory
 
 #MODEL_DIRECTORY = "./app/models/"
 MODEL_DIRECTORY = os.path.join(os.getcwd(), "./app/models/")
 
+PROCESSED_DIRECTORY = ".app/datas/processed/"
+
 
 os.makedirs(UPLOAD_DIRECTORY, exist_ok=True)
 
diff --git a/backend/app/data_preprocessing.log b/backend/app/data_preprocessing.log
new file mode 100644
index 0000000000000000000000000000000000000000..526fc7fb2ee496984a55308995400eab3aca99bf
--- /dev/null
+++ b/backend/app/data_preprocessing.log
@@ -0,0 +1,540 @@
+INFO:root:Successfully loaded JSON data from ./datas/uploads/scenario_analysis_result_MAN_Test_hl.json
+ERROR:root:Data Preprocessing Failed: 'CoolingDefect'
+INFO:root:Successfully loaded JSON data from ./datas/uploads/scenario_analysis_result_MAN_Test_hl.json
+ERROR:root:Data Preprocessing Failed: 'DefekteModulanzahl'
+INFO:root:Successfully loaded JSON data from ./datas/uploads/scenario_analysis_result_MAN_Test_hl.json
+WARNING:root:Missing output parameter 'OEE' for ID: ID_192
+WARNING:root:Missing output parameter 'OEE' for ID: ID_193
+WARNING:root:Missing output parameter 'OEE' for ID: ID_202
+WARNING:root:Missing output parameter 'OEE' for ID: ID_203
+WARNING:root:Missing output parameter 'OEE' for ID: ID_205
+WARNING:root:Missing output parameter 'OEE' for ID: ID_212
+WARNING:root:Missing output parameter 'OEE' for ID: ID_213
+WARNING:root:Missing output parameter 'OEE' for ID: ID_214
+WARNING:root:Missing output parameter 'OEE' for ID: ID_215
+WARNING:root:Missing output parameter 'OEE' for ID: ID_223
+WARNING:root:Missing output parameter 'OEE' for ID: ID_225
+WARNING:root:Missing output parameter 'OEE' for ID: ID_226
+WARNING:root:Missing output parameter 'OEE' for ID: ID_233
+WARNING:root:Missing output parameter 'OEE' for ID: ID_234
+WARNING:root:Missing output parameter 'OEE' for ID: ID_235
+WARNING:root:Missing output parameter 'OEE' for ID: ID_237
+WARNING:root:Missing output parameter 'OEE' for ID: ID_238
+WARNING:root:Missing output parameter 'OEE' for ID: ID_243
+WARNING:root:Missing output parameter 'OEE' for ID: ID_244
+WARNING:root:Missing output parameter 'OEE' for ID: ID_254
+WARNING:root:Missing output parameter 'OEE' for ID: ID_255
+WARNING:root:Missing output parameter 'OEE' for ID: ID_256
+WARNING:root:Missing output parameter 'OEE' for ID: ID_265
+WARNING:root:Missing output parameter 'OEE' for ID: ID_266
+WARNING:root:Missing output parameter 'OEE' for ID: ID_583
+WARNING:root:Missing output parameter 'OEE' for ID: ID_829
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1918
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1919
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1920
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1921
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1922
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1923
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1924
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1925
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1926
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1927
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1928
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1929
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1930
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1931
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1949
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2013
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2014
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2015
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2016
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2017
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2018
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2019
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2020
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2021
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2022
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2023
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2024
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2025
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2026
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2027
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2028
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2029
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2030
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2031
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2032
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2033
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2034
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2035
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2036
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2043
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2044
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2045
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2046
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2047
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2048
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2049
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2050
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2051
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2052
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2053
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2054
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2055
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2056
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2057
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2068
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2118
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2119
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2120
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2121
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2122
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2123
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2124
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2125
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2126
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2127
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2128
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2129
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2130
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2131
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2132
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2133
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2134
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2135
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2136
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2137
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2138
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2139
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2140
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2141
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2142
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2143
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2144
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2145
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2146
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2147
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2148
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2149
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2150
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2151
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2152
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2153
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2154
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2172
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2225
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2226
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2227
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2228
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2229
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2230
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2231
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2232
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2233
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2234
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2235
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2243
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2244
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2245
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2246
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2247
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2248
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2249
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2250
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2251
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2252
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2253
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2254
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2255
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2256
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2257
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2258
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2259
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2260
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2272
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2330
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2331
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2332
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2333
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2334
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2335
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2336
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2337
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2338
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2339
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2340
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2341
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2342
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2343
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2344
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2345
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2346
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2347
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2348
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2349
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2350
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2351
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2352
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2353
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2354
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2355
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2363
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2364
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2365
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2366
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2367
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2368
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2369
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2370
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2371
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2372
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2373
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2374
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2375
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2376
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2377
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2378
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2379
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2380
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2381
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2393
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2429
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2430
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2431
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2432
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2433
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2434
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2435
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2436
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2437
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2438
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2439
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2440
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2441
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2442
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2443
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2444
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2445
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2462
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2535
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2536
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2537
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2538
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2539
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2540
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2541
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2542
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2543
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2544
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2545
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2546
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2547
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2548
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2549
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2550
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2551
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2552
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2553
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2554
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2555
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2556
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2557
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2558
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2559
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2560
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2561
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2579
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2643
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2644
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2645
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2646
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2647
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2648
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2649
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2650
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2651
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2659
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2660
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2661
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2662
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2663
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2664
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2665
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2666
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2677
+WARNING:root:Missing output parameter 'OEE' for ID: ID_3523
+WARNING:root:Missing output parameter 'OEE' for ID: ID_3645
+INFO:root:Extracted data with 3579 valid records.
+INFO:root:Cleaned data shape: (3579, 12)
+INFO:root:Data scaling completed using MinMaxScaler
+INFO:root:Saved train data to train_data_1.npz
+INFO:root:Scalers saved to scaler_X.pkl and scaler_y.pkl
+INFO:root:Successfully loaded JSON data from ./datas/uploads/scenario_analysis_result_MAN_Test_hl.json
+WARNING:root:Missing output parameter 'OEE' for ID: ID_192
+WARNING:root:Missing output parameter 'OEE' for ID: ID_193
+WARNING:root:Missing output parameter 'OEE' for ID: ID_202
+WARNING:root:Missing output parameter 'OEE' for ID: ID_203
+WARNING:root:Missing output parameter 'OEE' for ID: ID_205
+WARNING:root:Missing output parameter 'OEE' for ID: ID_212
+WARNING:root:Missing output parameter 'OEE' for ID: ID_213
+WARNING:root:Missing output parameter 'OEE' for ID: ID_214
+WARNING:root:Missing output parameter 'OEE' for ID: ID_215
+WARNING:root:Missing output parameter 'OEE' for ID: ID_223
+WARNING:root:Missing output parameter 'OEE' for ID: ID_225
+WARNING:root:Missing output parameter 'OEE' for ID: ID_226
+WARNING:root:Missing output parameter 'OEE' for ID: ID_233
+WARNING:root:Missing output parameter 'OEE' for ID: ID_234
+WARNING:root:Missing output parameter 'OEE' for ID: ID_235
+WARNING:root:Missing output parameter 'OEE' for ID: ID_237
+WARNING:root:Missing output parameter 'OEE' for ID: ID_238
+WARNING:root:Missing output parameter 'OEE' for ID: ID_243
+WARNING:root:Missing output parameter 'OEE' for ID: ID_244
+WARNING:root:Missing output parameter 'OEE' for ID: ID_254
+WARNING:root:Missing output parameter 'OEE' for ID: ID_255
+WARNING:root:Missing output parameter 'OEE' for ID: ID_256
+WARNING:root:Missing output parameter 'OEE' for ID: ID_265
+WARNING:root:Missing output parameter 'OEE' for ID: ID_266
+WARNING:root:Missing output parameter 'OEE' for ID: ID_583
+WARNING:root:Missing output parameter 'OEE' for ID: ID_829
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1918
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1919
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1920
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1921
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1922
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1923
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1924
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1925
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1926
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1927
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1928
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1929
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1930
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1931
+WARNING:root:Missing output parameter 'OEE' for ID: ID_1949
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2013
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2014
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2015
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2016
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2017
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2018
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2019
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2020
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2021
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2022
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2023
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2024
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2025
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2026
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2027
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2028
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2029
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2030
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2031
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2032
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2033
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2034
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2035
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2036
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2043
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2044
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2045
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2046
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2047
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2048
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2049
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2050
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2051
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2052
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2053
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2054
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2055
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2056
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2057
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2068
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2118
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2119
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2120
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2121
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2122
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2123
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2124
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2125
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2126
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2127
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2128
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2129
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2130
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2131
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2132
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2133
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2134
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2135
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2136
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2137
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2138
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2139
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2140
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2141
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2142
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2143
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2144
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2145
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2146
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2147
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2148
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2149
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2150
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2151
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2152
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2153
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2154
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2172
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2225
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2226
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2227
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2228
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2229
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2230
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2231
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2232
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2233
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2234
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2235
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2243
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2244
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2245
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2246
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2247
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2248
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2249
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2250
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2251
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2252
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2253
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2254
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2255
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2256
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2257
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2258
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2259
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2260
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2272
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2330
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2331
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2332
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2333
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2334
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2335
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2336
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2337
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2338
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2339
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2340
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2341
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2342
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2343
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2344
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2345
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2346
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2347
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2348
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2349
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2350
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2351
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2352
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2353
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2354
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2355
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2363
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2364
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2365
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2366
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2367
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2368
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2369
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2370
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2371
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2372
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2373
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2374
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2375
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2376
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2377
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2378
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2379
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2380
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2381
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2393
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2429
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2430
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2431
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2432
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2433
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2434
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2435
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2436
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2437
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2438
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2439
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2440
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2441
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2442
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2443
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2444
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2445
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2462
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2535
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2536
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2537
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2538
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2539
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2540
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2541
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2542
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2543
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2544
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2545
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2546
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2547
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2548
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2549
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2550
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2551
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2552
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2553
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2554
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2555
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2556
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2557
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2558
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2559
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2560
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2561
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2579
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2643
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2644
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2645
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2646
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2647
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2648
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2649
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2650
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2651
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2659
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2660
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2661
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2662
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2663
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2664
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2665
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2666
+WARNING:root:Missing output parameter 'OEE' for ID: ID_2677
+WARNING:root:Missing output parameter 'OEE' for ID: ID_3523
+WARNING:root:Missing output parameter 'OEE' for ID: ID_3645
+INFO:root:Extracted data with 3579 valid records.
+INFO:root:Cleaned data shape: (3579, 12)
+INFO:root:Data scaling completed using MinMaxScaler
+INFO:root:Data split into train (X_train: (2863, 4), y_train: (2863, 8)) and test (X_test: (716, 4), y_test: (716, 8))
+INFO:root:Saved train data to train_data_1.npz
+INFO:root:Saved test data to test_data_1.npz
+INFO:root:Scalers saved to scaler_X.pkl and scaler_y.pkl
diff --git a/backend/app/data_preprocessing.py b/backend/app/data_preprocessing.py
new file mode 100644
index 0000000000000000000000000000000000000000..5b49c39e25246bab76551a3a18b7fec430291460
--- /dev/null
+++ b/backend/app/data_preprocessing.py
@@ -0,0 +1,160 @@
+import json
+import ast
+import pandas as pd
+import numpy as np
+import pickle
+import logging
+from sklearn.preprocessing import StandardScaler, MinMaxScaler
+from sklearn.model_selection import train_test_split
+
+# Logging setup
+logging.basicConfig(filename='data_preprocessing.log', level=logging.INFO)
+
+class DataPreprocessor:
+    def __init__(self, file_path, input_params, output_params, scaler_type='MinMaxScaler', test_size=0.2):
+        self.file_path = file_path
+        self.input_params = input_params
+        self.output_params = output_params
+        self.scaler_type = scaler_type
+        self.test_size = test_size
+        self.data = self.load_json()
+
+    def load_json(self):
+        """Load data from JSON file."""
+        try:
+            with open(self.file_path, 'r') as file:
+                data = json.load(file)
+                logging.info(f"Successfully loaded JSON data from {self.file_path}")
+                return data
+        except Exception as e:
+            logging.error(f"Failed to load JSON file: {str(e)}")
+            raise
+
+    def extract_data(self):
+        """Extract input and output data based on specified parameters."""
+        input_data = {param: [] for param in self.input_params}
+        output_data = {param: [] for param in self.output_params}
+        ids = self.data[self.input_params[0]].keys()
+
+        for id_key in ids:
+            valid = True
+            temp_input_data = {}
+            temp_output_data = {}
+
+            for param in self.input_params:
+                value = self.data[param].get(id_key)
+                if value is not None:
+                    temp_input_data[param] = value
+                else:
+                    valid = False
+                    logging.warning(f"Missing input parameter '{param}' for ID: {id_key}")
+                    break
+
+            if valid:
+                for param in self.output_params:
+                    if param == 'Throughput':
+                        throughput_value = self.data[param].get(id_key)
+                        if throughput_value is not None:
+                            try:
+                                temp_output_data[param] = ast.literal_eval(throughput_value)['Sink']
+                            except (ValueError, SyntaxError):
+                                valid = False
+                                logging.error(f"Invalid format for 'Throughput' at ID: {id_key}")
+                                break
+                        else:
+                            valid = False
+                            logging.warning(f"Missing 'Throughput' parameter for ID: {id_key}")
+                            break
+                    else:
+                        value = self.data[param].get(id_key)
+                        if value is not None:
+                            temp_output_data[param] = value
+                        else:
+                            valid = False
+                            logging.warning(f"Missing output parameter '{param}' for ID: {id_key}")
+                            break
+
+            if valid:
+                for param in self.input_params:
+                    input_data[param].append(temp_input_data[param])
+                for param in self.output_params:
+                    output_data[param].append(temp_output_data[param])
+
+        logging.info(f"Extracted data with {len(input_data[self.input_params[0]])} valid records.")
+        return pd.DataFrame(input_data), pd.DataFrame(output_data)
+
+    def clean_data(self, input_df, output_df):
+        """Combine input and output data and clean it by removing rows with missing values."""
+        combined_data = pd.concat([input_df, output_df], axis=1)
+        cleaned_data = combined_data.dropna()
+        logging.info(f"Cleaned data shape: {cleaned_data.shape}")
+        return cleaned_data
+
+    def process_data(self, combined_data):
+        """Scale the input and output data using specified scaler."""
+        if self.scaler_type == 'StandardScaler':
+            scaler_X = StandardScaler()
+            scaler_y = StandardScaler()
+        elif self.scaler_type == 'MinMaxScaler':
+            scaler_X = MinMaxScaler()
+            scaler_y = MinMaxScaler()
+
+        X_processed = scaler_X.fit_transform(combined_data[self.input_params])
+        y_processed = scaler_y.fit_transform(combined_data[self.output_params])
+        logging.info(f"Data scaling completed using {self.scaler_type}")
+        return X_processed, y_processed, scaler_X, scaler_y
+
+    def save_data(self, X_processed, y_processed, usage, index):
+        """Save processed data to .npz files for training/testing."""
+        file_prefix = f"{usage}_data_{index}"
+        np.savez(f'{file_prefix}.npz', X=X_processed, y=y_processed)
+        logging.info(f"Saved {usage} data to {file_prefix}.npz")
+
+    def save_scalers(self, scaler_X, scaler_y):
+        """Save scalers to pickle files."""
+        with open('scaler_X.pkl', 'wb') as f:
+            pickle.dump(scaler_X, f)
+        with open('scaler_y.pkl', 'wb') as f:
+            pickle.dump(scaler_y, f)
+        logging.info("Scalers saved to scaler_X.pkl and scaler_y.pkl")
+
+    def run(self, usage, index):
+        """Main preprocessing pipeline: extraction, cleaning, processing, and saving."""
+        try:
+            # Step 1: Extract data
+            input_df, output_df = self.extract_data()
+
+            # Step 2: Clean the data
+            cleaned_data = self.clean_data(input_df, output_df)
+
+            # Step 3: Process the data (scaling)
+            X_processed, y_processed, scaler_X, scaler_y = self.process_data(cleaned_data)
+
+            # Step 4: Split data into training and testing
+            X_train, X_test, y_train, y_test = train_test_split(X_processed, y_processed, test_size=self.test_size, random_state=42)
+            logging.info(f"Data split into train (X_train: {X_train.shape}, y_train: {y_train.shape}) and test (X_test: {X_test.shape}, y_test: {y_test.shape})")
+
+            # Step 5: Save processed data
+            self.save_data(X_train, y_train, usage='train', index=index)
+            self.save_data(X_test, y_test, usage='test', index=index)
+
+            # Step 6: Save scalers
+            self.save_scalers(scaler_X, scaler_y)
+
+        except Exception as e:
+            logging.error(f"Data Preprocessing Failed: {str(e)}")
+            raise
+
+# Standalone execution for testing
+if __name__ == '__main__':
+    # Specify input/output parameters and scaler type
+    input_params = ['AmountServer', 'Coolingdefect', 'InterarrivalTime', 'defekteModulanzahl']
+    output_params = ['OEE', 'TotalAverageQueueLength', 'ProcessingTimeAverage', 'WaitingTimeAverage', 'MovingTimeAverage', 'FailedTimeAverage', 'BlockedTimeAverage', 'Throughput']
+    scaler_type = 'MinMaxScaler'  # or 'StandardScaler'
+
+    # Provide file path to JSON data (adjust accordingly)
+    file_path = './datas/uploads/scenario_analysis_result_MAN_Test_hl.json'
+
+    # Instantiate the data processor and run the preprocessing
+    preprocessor = DataPreprocessor(file_path, input_params, output_params, scaler_type)
+    preprocessor.run(usage='train', index=1)
\ No newline at end of file
diff --git a/backend/app/datas/processed/Experiment_1/data_1_test.npz b/backend/app/datas/processed/Experiment_1/data_1_test.npz
new file mode 100644
index 0000000000000000000000000000000000000000..0214ec0c169aee59f8000da114db0c57e1c79b29
Binary files /dev/null and b/backend/app/datas/processed/Experiment_1/data_1_test.npz differ
diff --git a/backend/app/datas/processed/Experiment_1/data_1_train.npz b/backend/app/datas/processed/Experiment_1/data_1_train.npz
new file mode 100644
index 0000000000000000000000000000000000000000..88f3b7f37565b16b077a5df8c1b345ebe3d254d1
Binary files /dev/null and b/backend/app/datas/processed/Experiment_1/data_1_train.npz differ
diff --git a/backend/app/datas/processed/Experiment_1/params.json b/backend/app/datas/processed/Experiment_1/params.json
new file mode 100644
index 0000000000000000000000000000000000000000..551c773fdbc2a918e850d7885e99fba5c380c3e0
--- /dev/null
+++ b/backend/app/datas/processed/Experiment_1/params.json
@@ -0,0 +1,21 @@
+{
+    "input_params": [
+      "AmountServer",
+      "CoolingDefect",
+      "InterarrivalTime [s]",
+      "DefekteModulanzahl"
+    ],
+    "output_params": [
+      "AverageServerUtilisation",
+      "AverageFlowTime [s]",
+      "OEE",
+      "TotalAverageQueueLength",
+      "ProcessingTimeAverage [s]",
+      "WaitingTimeAverage [s]",
+      "MovingTimeAverage [s]",
+      "FailedTimeAverage [s]",
+      "BlockedTimeAverage [s]",
+      "Throughput"
+    ]
+}
+  
\ No newline at end of file
diff --git a/backend/app/datas/processed/Experiment_1/scaler_X.pkl b/backend/app/datas/processed/Experiment_1/scaler_X.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..c2761cfab116d23af3654c68b7c4e0d0cfbb1724
Binary files /dev/null and b/backend/app/datas/processed/Experiment_1/scaler_X.pkl differ
diff --git a/backend/app/datas/processed/Experiment_1/scaler_y.pkl b/backend/app/datas/processed/Experiment_1/scaler_y.pkl
new file mode 100644
index 0000000000000000000000000000000000000000..f41474d91c177a9bf85adefb6d3e1f4e21ce3625
Binary files /dev/null and b/backend/app/datas/processed/Experiment_1/scaler_y.pkl differ
diff --git a/backend/app/datas/processed/__init__.py b/backend/app/datas/processed/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/backend/app/datas/uploads/__init__.py b/backend/app/datas/uploads/__init__.py
new file mode 100644
index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391
diff --git a/backend/app/datas/scenario_analysis_result_MAN_Test_hl.json b/backend/app/datas/uploads/scenario_analysis_result_MAN_Test_hl.json
similarity index 100%
rename from backend/app/datas/scenario_analysis_result_MAN_Test_hl.json
rename to backend/app/datas/uploads/scenario_analysis_result_MAN_Test_hl.json
diff --git a/backend/app/datas/scenario_analysis_result_MAN_Test_hl_new.json b/backend/app/datas/uploads/scenario_analysis_result_MAN_Test_hl_new.json
similarity index 100%
rename from backend/app/datas/scenario_analysis_result_MAN_Test_hl_new.json
rename to backend/app/datas/uploads/scenario_analysis_result_MAN_Test_hl_new.json
diff --git a/backend/app/models/Experiment_1/model.h5 b/backend/app/models/Experiment_1/model.h5
new file mode 100644
index 0000000000000000000000000000000000000000..0ce9831dd9bc8e5c40d0cfbd77299284e6b8a1b2
Binary files /dev/null and b/backend/app/models/Experiment_1/model.h5 differ
diff --git a/backend/app/modeltrainingtest.py b/backend/app/modeltrainingtest.py
new file mode 100644
index 0000000000000000000000000000000000000000..c304746a38bb140d0b6ae46850da8cedf4f2c359
--- /dev/null
+++ b/backend/app/modeltrainingtest.py
@@ -0,0 +1,111 @@
+import os
+import json
+import pickle
+import numpy as np
+from sklearn.model_selection import train_test_split
+from sklearn.preprocessing import MinMaxScaler, StandardScaler
+import autokeras as ak
+from concurrent.futures import ThreadPoolExecutor
+
+# Directories
+UPLOAD_DIRECTORY = "./datas/uploads/"  # same as data directory
+MODEL_DIRECTORY = "./models/"
+PROCESSED_DIRECTORY = "./datas/processed/"
+
+def load_processed_data(file_prefix):
+    """Load the processed training and testing data from .npz files."""
+    try:
+        # Use os.path.join to ensure proper path construction
+        train_file_path = os.path.join(PROCESSED_DIRECTORY, f'{file_prefix}_train.npz')
+        test_file_path = os.path.join(PROCESSED_DIRECTORY, f'{file_prefix}_test.npz')
+        
+        # Load the .npz files
+        train_data = np.load(train_file_path)
+        test_data = np.load(test_file_path)
+        
+        X_train, y_train = train_data['X'], train_data['y']
+        X_test, y_test = test_data['X'], test_data['y']
+        
+        return X_train, X_test, y_train, y_test
+    except Exception as e:
+        print(f"Error loading processed data: {e}")
+        raise
+
+
+def train_model(tuner_type, X_train, y_train, X_val, y_val, project_name, scaler_X, scaler_y, input_params, output_params):
+    """Train the model using the specified tuner and save the model and scalers."""
+    regressor = ak.StructuredDataRegressor(
+        project_name=project_name,
+        tuner=tuner_type,
+        max_trials=100,
+        overwrite=True,
+        loss='mean_absolute_error'
+    )
+    regressor.fit(X_train, y_train, validation_data=(X_val, y_val), epochs=100)
+    
+    # Save the model and scalers
+    model_dir = os.path.join(MODEL_DIRECTORY, f"{project_name}_{tuner_type}")
+    os.makedirs(model_dir, exist_ok=True)
+    regressor.export_model().save(os.path.join(model_dir, "model.h5"))
+    
+    with open(os.path.join(model_dir, "scaler_X.pkl"), "wb") as f:
+        pickle.dump(scaler_X, f)
+    with open(os.path.join(model_dir, "scaler_y.pkl"), "wb") as f:
+        pickle.dump(scaler_y, f)
+    
+    # Save input and output params
+    params = {"input_params": input_params, "output_params": output_params}
+    with open(os.path.join(model_dir, "params.json"), "w") as f:
+        json.dump(params, f)
+    
+    print(f"Model saved at: {model_dir}")
+    return model_dir
+
+
+def preprocess_data(file_prefix, input_params, output_params, scaler_type):
+    """Load and preprocess data using the specified scaler."""
+    X_train, X_test, y_train, y_test = load_processed_data(file_prefix)
+
+    # Apply the scaler to the data
+    if scaler_type == 'StandardScaler':
+        scaler_X = StandardScaler()
+        scaler_y = StandardScaler()
+    elif scaler_type == 'MinMaxScaler':
+        scaler_X = MinMaxScaler()
+        scaler_y = MinMaxScaler()
+
+    X_train = scaler_X.fit_transform(X_train)
+    y_train = scaler_y.fit_transform(y_train)
+    X_test = scaler_X.transform(X_test)
+    y_test = scaler_y.transform(y_test)
+
+    return X_train, X_test, y_train, y_test, scaler_X, scaler_y
+
+
+def main():
+    # Define parameters
+    project_name = "Experiment 1"  # Define a project name
+    file_prefix = "data_1"  # Change this to match the processed file prefix
+    input_params = ["AmountServer", "Coolingdefect", "InterarrivalTime", "defekteModulanzahl"]
+    output_params = ["AverageServerUtilisation", "AverageFlowTime", "OEE", "TotalAverageQueueLength", 
+                     "ProcessingTimeAverage", "WaitingTimeAverage", "MovingTimeAverage", "FailedTimeAverage", 
+                     "BlockedTimeAverage", "Throughput"]
+    scaler_type = "MinMaxScaler"  # or "StandardScaler"
+
+    # Preprocess data
+    X_train, X_test, y_train, y_test, scaler_X, scaler_y = preprocess_data(file_prefix, input_params, output_params, scaler_type)
+    
+    # Split data into validation set (X_val, y_val) using a portion of the training data
+    X_train, X_val, y_train, y_val = train_test_split(X_train, y_train, test_size=0.1, random_state=42)
+    
+    # Train models with different tuners in parallel
+    tuners = ['random', 'bayesian', 'hyperband', 'greedy']
+    with ThreadPoolExecutor() as executor:
+        futures = [executor.submit(train_model, tuner, X_train, y_train, X_val, y_val, project_name, 
+                                  scaler_X, scaler_y, input_params, output_params) for tuner in tuners]
+        for future in futures:
+            future.result()  # Wait for the result and catch any exceptions
+
+
+if __name__ == "__main__":
+    main()
diff --git a/backend/app/routers/__pycache__/trainR.cpython-39.pyc b/backend/app/routers/__pycache__/trainR.cpython-39.pyc
index cec59f4b0c2a6efd02e9d71ac4288640f9552d40..1e36f4a330b26ff50a4e7c642cab1f791b785afa 100644
Binary files a/backend/app/routers/__pycache__/trainR.cpython-39.pyc and b/backend/app/routers/__pycache__/trainR.cpython-39.pyc differ
diff --git a/backend/app/routers/__pycache__/uploadR.cpython-39.pyc b/backend/app/routers/__pycache__/uploadR.cpython-39.pyc
index 084b38a5f4369b1931c53302b76b492f2c74197c..d9559ac62f59e2d6c6e75cdbc009592d84a7fd6b 100644
Binary files a/backend/app/routers/__pycache__/uploadR.cpython-39.pyc and b/backend/app/routers/__pycache__/uploadR.cpython-39.pyc differ
diff --git a/backend/app/routers/trainR.py b/backend/app/routers/trainR.py
index 51625c647c7c9568281427385c728f96cc7ecf9d..e36ced3b5841153913684fcfd0e0a59b12b142d3 100644
--- a/backend/app/routers/trainR.py
+++ b/backend/app/routers/trainR.py
@@ -1,74 +1,55 @@
 import os
 import json
 import asyncio
-from fastapi import APIRouter, HTTPException
-from app.services.train_service import train_model_with_tuner, get_dataset_columns  # Add get_dataset_columns
+from typing import List
+import pandas as pd
+from fastapi import APIRouter, HTTPException, Depends
+from app.services.train_service import preprocess_data
+from app.schemas.train import DatasetColumnsRequest, PreprocessRequest, PreprocessResponse, TrainRequest
 from app.schemas.train import TrainRequest
-from app.config import MODEL_DIRECTORY, UPLOAD_DIRECTORY
+from app.config import MODEL_DIRECTORY, UPLOAD_DIRECTORY, PROCESSED_DIRECTORY
 from fastapi.responses import JSONResponse
 
-router = APIRouter()
-
-# Run training for all tuners in parallel
-async def run_training_for_all_tuners(data: TrainRequest):
-    tuners = ["random", "hyperband", "greedy", "bayesian"]
-    tasks = []
 
-    # Create a task for each tuner
-    for tuner in tuners:
-        task = asyncio.create_task(train_model_with_tuner(data, tuner))
-        tasks.append(task)
-
-    # Wait for all tasks to complete
-    results = await asyncio.gather(*tasks)
-    return results
+router = APIRouter()
 
-@router.post("/train/")
-async def train_model_route(data: TrainRequest):
+@router.get("/datasets", response_model=List[str])
+def list_datasets():
+    """Fetch available datasets from the upload directory."""
     try:
-        # Run training tasks for all tuners in parallel
-        results = await run_training_for_all_tuners(data)
-
-        project_name = data.project_name
-        input_params = data.input_params
-        output_params = data.output_params
-
-        # Ensure model directory exists for the project
-        model_dir = os.path.join(MODEL_DIRECTORY, f"{project_name}_model")
-        os.makedirs(model_dir, exist_ok=True)
-
-        # Save params.json with input and output params
-        params = {
-            "input_params": input_params,
-            "output_params": output_params,
-        }
-        with open(os.path.join(model_dir, "params.json"), "w") as f:
-            json.dump(params, f)
-
-        # Return response with results from each training task
-        return JSONResponse(content={"message": "Training completed for all tuners", "results": results})
-
+        files = [f for f in os.listdir(UPLOAD_DIRECTORY) if f.endswith(('.json', '.csv'))]
+        return files
     except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Error during training: {str(e)}")
-
-@router.get("/datasets")
-async def get_datasets():
-    try:
-        # Fetch all available datasets (CSV or JSON)
-        datasets = [
-            f for f in os.listdir(UPLOAD_DIRECTORY) 
-            if os.path.isfile(os.path.join(UPLOAD_DIRECTORY, f)) and (f.endswith('.csv') or f.endswith('.json'))
-        ]
-        return JSONResponse(content={"datasets": datasets})
+        raise HTTPException(status_code=500, detail=str(e))
+
+@router.post("/dataset-columns")
+def get_dataset_columns(request: DatasetColumnsRequest):
+    """Fetch column names from a selected dataset."""
+    file_path = os.path.join(UPLOAD_DIRECTORY, request.filename)
+    if not os.path.exists(file_path):
+        raise HTTPException(status_code=404, detail="File not found")
     
+    try:
+        if request.filename.endswith('.json'):
+            with open(file_path, 'r') as file:
+                data = json.load(file)
+            columns = list(data.keys())
+        else:
+            df = pd.read_csv(file_path)
+            columns = df.columns.tolist()
+        return {"columns": columns}
     except Exception as e:
-        return JSONResponse(status_code=500, content={"message": f"Error reading datasets directory: {str(e)}"})
-
-@router.get("/train/dataset-columns/{dataset_name}")
-async def get_columns(dataset_name: str):
+        raise HTTPException(status_code=500, detail=str(e))
+
+@router.post("/preprocess", response_model=PreprocessResponse)
+def preprocess(request: PreprocessRequest):
+    """Run preprocessing on the selected dataset."""
+    file_path = os.path.join(UPLOAD_DIRECTORY, request.filename)
+    if not os.path.exists(file_path):
+        raise HTTPException(status_code=404, detail="File not found")
+    
     try:
-        # Fetch columns from the specified dataset (either CSV or JSON)
-        columns = await get_dataset_columns(dataset_name)
-        return JSONResponse(content={"columns": columns})
+        processed_data = preprocess_data(file_path, request.input_params, request.output_params, request.scaler_type)
+        return processed_data
     except Exception as e:
-        return JSONResponse(status_code=500, content={"message": f"Error fetching columns: {str(e)}"})
+        raise HTTPException(status_code=500, detail=str(e))
diff --git a/backend/app/schemas/__pycache__/train.cpython-39.pyc b/backend/app/schemas/__pycache__/train.cpython-39.pyc
index 54a30561951f4b13a0299b049bc62e3de6e76a17..e6c677f74c00f7da075bedee5d69b605b0d8e485 100644
Binary files a/backend/app/schemas/__pycache__/train.cpython-39.pyc and b/backend/app/schemas/__pycache__/train.cpython-39.pyc differ
diff --git a/backend/app/schemas/__pycache__/upload.cpython-39.pyc b/backend/app/schemas/__pycache__/upload.cpython-39.pyc
index fab9393ddaa67cf3146fd9dcb26567342270b989..632e58078611219a28aa8799c08a71d959a20607 100644
Binary files a/backend/app/schemas/__pycache__/upload.cpython-39.pyc and b/backend/app/schemas/__pycache__/upload.cpython-39.pyc differ
diff --git a/backend/app/schemas/train.py b/backend/app/schemas/train.py
index f2f1de556ee42128ec8faf53a63050a090ec3156..8576e576218dd77dd5ecb11d162b7f0bb46cc084 100644
--- a/backend/app/schemas/train.py
+++ b/backend/app/schemas/train.py
@@ -1,6 +1,18 @@
 from pydantic import BaseModel
 from typing import List
 
+class PreprocessRequest(BaseModel):
+    file_name: str  # Name of the selected dataset
+    input_params: List[str]  # List of selected input columns
+    output_params: List[str]  # List of selected output columns
+    scaler_type: str  # Type of scaler ('StandardScaler' or 'MinMaxScaler')
+
+class PreprocessResponse(BaseModel):
+    message: str  # Success message
+    processed_data_preview: dict  # Sample of preprocessed data (for verification)
+
+class DatasetColumnsRequest(BaseModel):
+    dataset_name: str
 class TrainRequest(BaseModel):
     """
     Schema for the model training request.
diff --git a/backend/app/services/__pycache__/predict_service.cpython-39.pyc b/backend/app/services/__pycache__/predict_service.cpython-39.pyc
index a4510a0aaf14539ee530a1c34517fe02817353a3..c70d682eff7e4a476e0886f564b25031a2a0652a 100644
Binary files a/backend/app/services/__pycache__/predict_service.cpython-39.pyc and b/backend/app/services/__pycache__/predict_service.cpython-39.pyc differ
diff --git a/backend/app/services/__pycache__/train_service.cpython-39.pyc b/backend/app/services/__pycache__/train_service.cpython-39.pyc
index 9eb58db7d5e726c25219acbea406b4869e0699e8..fc4d9dcd464a82f5c174cea2967b311acc1e77f3 100644
Binary files a/backend/app/services/__pycache__/train_service.cpython-39.pyc and b/backend/app/services/__pycache__/train_service.cpython-39.pyc differ
diff --git a/backend/app/services/predict_service.py b/backend/app/services/predict_service.py
index e7dc8c30dc6dd97e5553f0957f19d06cf3afa085..cde70fea03cf344dbb56e9ad027f709dc90a3eb3 100644
--- a/backend/app/services/predict_service.py
+++ b/backend/app/services/predict_service.py
@@ -4,42 +4,59 @@ import numpy as np
 import json
 from fastapi import HTTPException
 from app.schemas.predict import PredictRequest
-from app.config import MODEL_DIRECTORY
+from app.config import MODEL_DIRECTORY, PROCESSED_DIRECTORY
 # from tensorflow.keras.models import load_model # changes depending on Tensorflow version
 from tensorflow import keras
 from keras.layers import Dense
 from keras.models import Sequential, load_model
-from sklearn.preprocessing import MinMaxScaler
+from sklearn.preprocessing import MinMaxScaler, StandardScaler
+import logging
+
+# Set up logging
+logging.basicConfig(level=logging.DEBUG)
 
 def make_prediction(data: PredictRequest):
     try:
         project_name = data.project_name
         input_data = data.input_data
 
-        # Load model and scalers
-        model_dir = os.path.join(MODEL_DIRECTORY, f"{project_name}_model")
+        # Log received data for debugging
+        logging.debug(f"Received request for project: {project_name}, input data: {input_data}")
+
+        model_dir = os.path.join(MODEL_DIRECTORY, f"{project_name}")
+        scaler_dir = os.path.join(PROCESSED_DIRECTORY, f"{project_name}")
         model_path = os.path.join(model_dir, "model.h5")
-        
+
+        # Log model path
+        logging.debug(f"Model path: {model_path}")
+
         if not os.path.exists(model_path):
+            logging.error(f"Model file does not exist at {model_path}")
             raise HTTPException(status_code=400, detail="Model file does not exist.")
         
         model = load_model(model_path)
-        scaler_X = joblib.load(os.path.join(model_dir, "scaler_X.pkl"))
-        scaler_y = joblib.load(os.path.join(model_dir, "scaler_y.pkl"))
+        scaler_X = joblib.load(os.path.join(scaler_dir, "scaler_X.pkl"))
+        scaler_y = joblib.load(os.path.join(scaler_dir, "scaler_y.pkl"))
 
         # Load input/output parameters
-        params_path = os.path.join(model_dir, "params.json")
+        params_path = os.path.join(PROCESSED_DIRECTORY, f"{project_name}", "params.json")
+
+        # Log params path
+        logging.debug(f"Params path: {params_path}")
+
         if not os.path.exists(params_path):
+            logging.error(f"Parameters file does not exist at {params_path}")
             raise HTTPException(status_code=400, detail="Parameters file does not exist.")
         
         with open(params_path, "r") as f:
             params = json.load(f)
         
-        input_params = params["input_params"]
-        output_params = params["output_params"]
+        input_params = params.get("input_params", [])
+        output_params = params.get("output_params", [])
 
         # Ensure input data matches the expected structure
-        input_scaled = scaler_X.transform(np.array([list(input_data.values())]))
+        input_values = [input_data[param] for param in input_params]
+        input_scaled = scaler_X.transform(np.array([input_values]))
 
         # Make prediction
         prediction_scaled = model.predict(input_scaled)
@@ -51,4 +68,5 @@ def make_prediction(data: PredictRequest):
             "output_params": output_params
         }
     except Exception as e:
+        logging.error(f"Error during prediction: {str(e)}")
         raise HTTPException(status_code=500, detail=f"Error during prediction: {str(e)}")
diff --git a/backend/app/services/train_service.py b/backend/app/services/train_service.py
index 2ef612a36eea3a833785c73c9766d3bb158b899c..1d99ba5a4b96c69df1da92f376cb291b4e44245b 100644
--- a/backend/app/services/train_service.py
+++ b/backend/app/services/train_service.py
@@ -1,96 +1,200 @@
+from fastapi import FastAPI, HTTPException, UploadFile, File
 import os
 import json
 import pandas as pd
-import joblib
+from typing import List
+from pydantic import BaseModel
+import logging
 from app.schemas.train import TrainRequest
 import pickle
-from fastapi import HTTPException
-from app.config import UPLOAD_DIRECTORY, MODEL_DIRECTORY
+from app.config import UPLOAD_DIRECTORY, MODEL_DIRECTORY, PROCESSED_DIRECTORY
 from sklearn.model_selection import train_test_split
-from sklearn.preprocessing import MinMaxScaler
+from sklearn.preprocessing import MinMaxScaler, StandardScaler
 import autokeras as ak
 
-async def get_dataset_columns(dataset_name: str):
-    """
-    Fetch columns from a dataset file (JSON or CSV).
-    """
-    dataset_path = os.path.join(UPLOAD_DIRECTORY, dataset_name)  # Treat as file
-
-    if not os.path.exists(dataset_path):
-        raise HTTPException(status_code=404, detail=f"Dataset file '{dataset_name}' not found.")
-
-    try:
-        if dataset_name.endswith(".json"):
-            with open(dataset_path, "r") as f:
-                data = json.load(f)
-            return {"columns": list(data[0].keys())}  # Extract keys from first JSON object
-        elif dataset_name.endswith(".csv"):
-            df = pd.read_csv(dataset_path)
-            return {"columns": df.columns.tolist()}  # Extract column names
-        else:
-            raise HTTPException(status_code=400, detail="Unsupported file format.")
-    except Exception as e:
-        raise HTTPException(status_code=500, detail=f"Error reading dataset columns: {str(e)}")
-
-
-async def train_model_with_tuner(data, tuner_type):
-    """
-    Train a model with the specified tuner type using input and output params.
-    """
-    try:
-        # Load dataset (JSON or CSV)
-        # project_dir = os.path.join(UPLOAD_DIRECTORY, data.project_name)
-        data_path = os.path.join(UPLOAD_DIRECTORY, data.dataset_name) #using dataset_name directly
-
-        if not os.path.exists(data_path):
-            raise HTTPException(status_code=400, detail="Data file does not exist.")
-        
-        with open(data_path, "r") as f:
+def preprocess_data(file_name: str, input_params: list, output_params: list, scaler_type: str):
+    file_path = os.path.join(UPLOAD_DIRECTORY, file_name)
+    if not os.path.exists(file_path):
+        raise FileNotFoundError(f"File {file_name} not found.")
+    
+    # Load data based on file type
+    if file_name.endswith(".json"):
+        with open(file_path, 'r') as f:
             data = json.load(f)
+        df = pd.DataFrame.from_dict(data)
+    elif file_name.endswith(".csv"):
+        df = pd.read_csv(file_path)
+    else:
+        raise ValueError("Unsupported file format. Only JSON and CSV are allowed.")
+    
+    # Validate columns
+    missing_columns = set(input_params + output_params) - set(df.columns)
+    if missing_columns:
+        raise ValueError(f"Missing columns in dataset: {missing_columns}")
+    
+    # Extract input and output data
+    input_data = df[input_params].copy()
+    output_data = df[output_params].copy()
+    
+    # Handle missing values
+    df_cleaned = pd.concat([input_data, output_data], axis=1).dropna()
+    
+    # Apply scaling
+    if scaler_type == 'StandardScaler':
+        scaler_X = StandardScaler()
+        scaler_y = StandardScaler()
+    elif scaler_type == 'MinMaxScaler':
+        scaler_X = MinMaxScaler()
+        scaler_y = MinMaxScaler()
+    else:
+        raise ValueError("Invalid scaler type. Use 'StandardScaler' or 'MinMaxScaler'.")
+    
+    scaled_X = scaler_X.fit_transform(df_cleaned[input_params])
+    scaled_y = scaler_y.fit_transform(df_cleaned[output_params])
+    
+    # Convert to DataFrame for easier handling
+    processed_df = pd.DataFrame(scaled_X, columns=input_params)
+    processed_df[output_params] = scaled_y
+    
+    # Return a sample of processed data
+    return processed_df.head(5).to_dict()
 
-        # Ensure input/output parameters exist in the dataset
-        missing_input_params = [param for param in data.input_params if param not in data]
-        missing_output_params = [param for param in data.output_params if param not in data]
 
-        if missing_input_params or missing_output_params:
-            raise HTTPException(status_code=400, detail=f"Missing parameters: {', '.join(missing_input_params + missing_output_params)}")
 
-        # Prepare data for training
-        input_data = pd.DataFrame({param: data[param] for param in data.input_params})
-        output_data = pd.DataFrame({param: data[param] for param in data.output_params})
 
-        # Split data
-        X_train, X_test, y_train, y_test = train_test_split(input_data, output_data, test_size=0.2, random_state=42)
 
-        # Scale data
-        scaler_X = MinMaxScaler()
-        scaler_y = MinMaxScaler()
-        X_train_scaled = scaler_X.fit_transform(X_train)
-        y_train_scaled = scaler_y.fit_transform(y_train)
-
-        # Train model
-        regressor = ak.StructuredDataRegressor(
-            project_name=data.project_name,
-            tuner=tuner_type,
-            max_trials=100,
-            overwrite=True,
-            loss='mean_absolute_error'
-        )
-        regressor.fit(X_train_scaled, y_train_scaled, epochs=100, validation_split=0.1)
-
-        # Save model and scaler
-        model_dir = os.path.join(MODEL_DIRECTORY, f"{data.project_name}_{tuner_type}")
-        os.makedirs(model_dir, exist_ok=True)
-        regressor.export_model().save(os.path.join(model_dir, "model.h5"))
-        joblib.dump(scaler_X, os.path.join(model_dir, "scaler_X.pkl"))
-        joblib.dump(scaler_y, os.path.join(model_dir, "scaler_y.pkl"))
-
-        # Save input and output params
-        params = {"input_params": data.input_params, "output_params": data.output_params}
-        with open(os.path.join(model_dir, "params.json"), "w") as f:
-            json.dump(params, f)
-
-        return {"tuner": tuner_type, "status": "success", "model_path": model_dir}
-
-    except Exception as e:
-        return {"tuner": tuner_type, "status": "failed", "error": str(e)}
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+
+# import os
+# import json
+# import pandas as pd
+# import joblib
+# from app.schemas.train import TrainRequest
+# import pickle
+# from fastapi import HTTPException
+# from app.config import UPLOAD_DIRECTORY, MODEL_DIRECTORY
+# from sklearn.model_selection import train_test_split
+# from sklearn.preprocessing import MinMaxScaler
+# import autokeras as ak
+
+# async def get_dataset_columns(dataset_name: str):
+#     """
+#     Fetch columns from a dataset file (JSON or CSV).
+#     """
+#     dataset_path = os.path.join(UPLOAD_DIRECTORY, dataset_name)  # Treat as file
+
+#     if not os.path.exists(dataset_path):
+#         raise HTTPException(status_code=404, detail=f"Dataset file '{dataset_name}' not found.")
+
+#     try:
+#         if dataset_name.endswith(".json"):
+#             with open(dataset_path, "r") as f:
+#                 data = json.load(f)
+#             return {"columns": list(data[0].keys())}  # Extract keys from first JSON object
+#         elif dataset_name.endswith(".csv"):
+#             df = pd.read_csv(dataset_path)
+#             return {"columns": df.columns.tolist()}  # Extract column names
+#         else:
+#             raise HTTPException(status_code=400, detail="Unsupported file format.")
+#     except Exception as e:
+#         raise HTTPException(status_code=500, detail=f"Error reading dataset columns: {str(e)}")
+
+
+# async def train_model_with_tuner(data, tuner_type):
+#     """
+#     Train a model with the specified tuner type using input and output params.
+#     """
+#     try:
+#         # Load dataset (JSON or CSV)
+#         # project_dir = os.path.join(UPLOAD_DIRECTORY, data.project_name)
+#         data_path = os.path.join(UPLOAD_DIRECTORY, data.dataset_name) #using dataset_name directly
+
+#         if not os.path.exists(data_path):
+#             raise HTTPException(status_code=400, detail="Data file does not exist.")
+        
+#         with open(data_path, "r") as f:
+#             data = json.load(f)
+
+#         # Ensure input/output parameters exist in the dataset
+#         missing_input_params = [param for param in data.input_params if param not in data]
+#         missing_output_params = [param for param in data.output_params if param not in data]
+
+#         if missing_input_params or missing_output_params:
+#             raise HTTPException(status_code=400, detail=f"Missing parameters: {', '.join(missing_input_params + missing_output_params)}")
+
+#         # Prepare data for training
+#         input_data = pd.DataFrame({param: data[param] for param in data.input_params})
+#         output_data = pd.DataFrame({param: data[param] for param in data.output_params})
+
+#         # Split data
+#         X_train, X_test, y_train, y_test = train_test_split(input_data, output_data, test_size=0.2, random_state=42)
+
+#         # Scale data
+#         scaler_X = MinMaxScaler()
+#         scaler_y = MinMaxScaler()
+#         X_train_scaled = scaler_X.fit_transform(X_train)
+#         y_train_scaled = scaler_y.fit_transform(y_train)
+
+#         # Train model
+#         regressor = ak.StructuredDataRegressor(
+#             project_name=data.project_name,
+#             tuner=tuner_type,
+#             max_trials=100,
+#             overwrite=True,
+#             loss='mean_absolute_error'
+#         )
+#         regressor.fit(X_train_scaled, y_train_scaled, epochs=100, validation_split=0.1)
+
+#         # Save model and scaler
+#         model_dir = os.path.join(MODEL_DIRECTORY, f"{data.project_name}_{tuner_type}")
+#         os.makedirs(model_dir, exist_ok=True)
+#         regressor.export_model().save(os.path.join(model_dir, "model.h5"))
+#         joblib.dump(scaler_X, os.path.join(model_dir, "scaler_X.pkl"))
+#         joblib.dump(scaler_y, os.path.join(model_dir, "scaler_y.pkl"))
+
+#         # Save input and output params
+#         params = {"input_params": data.input_params, "output_params": data.output_params}
+#         with open(os.path.join(model_dir, "params.json"), "w") as f:
+#             json.dump(params, f)
+
+#         return {"tuner": tuner_type, "status": "success", "model_path": model_dir}
+
+#     except Exception as e:
+#         return {"tuner": tuner_type, "status": "failed", "error": str(e)}
diff --git a/frontend/src/api.js b/frontend/src/api.js
index 2c01dc2bdae66021061c1f53eb90a89784ae0aee..5367a91bf96a9926948ec1d7058c045cac954b0c 100644
--- a/frontend/src/api.js
+++ b/frontend/src/api.js
@@ -1,37 +1,61 @@
 import axios from "axios";
 
-const API_BASE_URL = "http://localhost:8000";
-
-// Upload a JSON file for a specific project
-export const uploadJson = (file, projectName) => {
-    const formData = new FormData();
-    formData.append("file", file);
-    return axios.post(`${API_BASE_URL}/upload`, formData, {
-        headers: { "Content-Type": "multipart/form-data" },
-        params: { project_name: projectName },
-    });
-};
+const API_BASE_URL = "http://localhost:8000/train"; // Update base for training-related endpoints
 
-// Fetch available datasets from app/datas
+// Fetch available datasets from the backend
 export const fetchDatasets = async () => {
     try {
-        const response = await axios.get('http://localhost:8000/datasets');
-        return response.data;  // List of datasets from backend
+        const response = await axios.get(`${API_BASE_URL}/datasets`);
+        return response.data.datasets; // Adjust based on backend response structure
     } catch (error) {
         console.error("Error fetching datasets:", error);
         throw error;
     }
 };
 
+// Fetch column names of a selected dataset
+export const fetchDatasetColumns = async (datasetName) => {
+    try {
+        const response = await axios.get(`${API_BASE_URL}/dataset-columns/${encodeURIComponent(datasetName)}`);
+        // Ensure response contains 'columns' array and is not undefined/null
+        return response.data.columns || []; // Return empty array if columns are not available
+    } catch (error) {
+        console.error("Error fetching dataset columns:", error);
+        throw error;
+    }
+};
+
+// Trigger preprocessing before training
+export const preprocessDataset = async (data) => {
+    try {
+        const response = await axios.post(`${API_BASE_URL}/preprocess`, data);
+        return response.data; // Expect preprocessing confirmation or output
+    } catch (error) {
+        console.error("Error preprocessing data:", error);
+        throw error;
+    }
+};
 
-// Train a model using a selected dataset
-export const trainModel = (data) => {
-    return axios.post(`${API_BASE_URL}/train`, data);
+// Train a model with all tuner types in parallel
+export const trainModel = async (data) => {
+    try {
+        const response = await axios.post(`${API_BASE_URL}/train`, data);
+        return response.data;
+    } catch (error) {
+        console.error("Error training model:", error);
+        throw error;
+    }
 };
 
 // Make predictions using the trained model
-export const makePrediction = (data) => {
-    return axios.post(`${API_BASE_URL}/predict`, data);
+export const makePrediction = async (data) => {
+    try {
+        const response = await axios.post(`${API_BASE_URL}/predict`, data);
+        return response.data;
+    } catch (error) {
+        console.error("Error making predictions:", error);
+        throw error;
+    }
 };
 
 
diff --git a/frontend/src/components/Predict.jsx b/frontend/src/components/Predict.jsx
index bb33da86f7d6fc806e08d6ff136e0f4660f716e1..5acaf8bf5fb547ecf4a5ce675607a67dee7f9df3 100644
--- a/frontend/src/components/Predict.jsx
+++ b/frontend/src/components/Predict.jsx
@@ -1,56 +1,35 @@
 import React, { useState, useEffect } from "react";
-import { makePrediction } from "../api.js";
+
+// Static data for testing purposes
+const models = ["Experiment_1", "Experiment_2", "Experiment_3"];
+const inputParams = ["AmountServer", "CoolingDefect", "InterarrivalTime", "DefekteModulanzahl"];
+const outputParams = [
+    "AverageServerUtilisation",
+    "AverageFlowTime",
+    "OEE",
+    "TotalAverageQueueLength",
+    "ProcessingTimeAverage",
+    "WaitingTimeAverage",
+    "MovingTimeAverage",
+    "FailedTimeAverage",
+    "BlockedTimeAverage",
+    "Throughput"
+];
+
+const staticPrediction = {
+    prediction: [0.89, 45898.48, 0.89, 0.51, 21265.73, 21773.21, 183.75, 0, 2192.59, 10.88], // example prediction output
+};
 
 const Predict = () => {
-    const [models, setModels] = useState([]); // Initialize models state
-    const [selectedModel, setSelectedModel] = useState(""); // Selected model from dropdown
+    const [selectedModel, setSelectedModel] = useState("");
     const [inputData, setInputData] = useState({});
     const [prediction, setPrediction] = useState(null);
-    const [inputParams, setInputParams] = useState([]); // Store input parameters from the selected model
-
-    // Fetch models from the backend (models in MODEL_DIRECTORY)
-    useEffect(() => {
-        const fetchModels = async () => {
-            try {
-                const response = await fetch("http://127.0.0.1:8000/predict/models");
-                const result = await response.json();
-                setModels(result.models); // Set models once fetched
-            } catch (error) {
-                console.error("Error fetching models:", error);
-            }
-        };
-    
-        fetchModels();
-    }, []); // Fetch models only once when the component mounts
-
-    // Fetch model parameters when a model is selected
-    useEffect(() => {
-        const fetchModelParams = async () => {
-            if (selectedModel) {
-                try {
-                    const response = await fetch(`http://127.0.0.1:8000/predict/params/${selectedModel}`);
-                    const result = await response.json();
-                    setInputParams(result.input_params); // Set input parameters
-                } catch (error) {
-                    console.error("Error fetching model parameters:", error);
-                }
-            }
-        };
-
-        fetchModelParams();
-    }, [selectedModel]); // Fetch params whenever a new model is selected
-
-    const handlePredict = async () => {
-        const data = {
-            project_name: selectedModel, // Model name now used instead of project name
-            input_data: inputData,
-        };
-        try {
-            const res = await makePrediction(data);
-            setPrediction(res.data.prediction);
-        } catch (error) {
-            console.error("Error making prediction:", error);
-        }
+
+    // Simulate the prediction logic (hardcoded for appearance)
+    const handlePredict = () => {
+        // Here we would normally call an API to make the prediction
+        // For testing, we are using static data
+        setPrediction(staticPrediction.prediction);
     };
 
     const handleInputChange = (e, param) => {
@@ -63,23 +42,19 @@ const Predict = () => {
     return (
         <div>
             <h2>Make Prediction</h2>
-            
-            {/* Dropdown to select the model */}
+
+            {/* Model Selection Dropdown */}
             <select value={selectedModel} onChange={(e) => setSelectedModel(e.target.value)}>
                 <option value="">Select Model</option>
-                {models.length > 0 ? (
-                    models.map((model, index) => (
-                        <option key={index} value={model}>
-                            {model}
-                        </option>
-                    ))
-                ) : (
-                    <option value="">No models available</option>
-                )}
+                {models.map((model, index) => (
+                    <option key={index} value={model}>
+                        {model}
+                    </option>
+                ))}
             </select>
 
-            {/* Dynamically render input fields based on the selected model's parameters */}
-            {inputParams.length > 0 &&
+            {/* Input Fields for Parameters */}
+            {inputParams.length > 0 ? (
                 inputParams.map((param, index) => (
                     <div key={index}>
                         <label>{param}</label>
@@ -90,11 +65,26 @@ const Predict = () => {
                             onChange={(e) => handleInputChange(e, param)}
                         />
                     </div>
-                ))}
+                ))
+            ) : (
+                <div>No input parameters available</div>
+            )}
 
+            {/* Button to Trigger Prediction */}
             <button onClick={handlePredict}>Predict</button>
 
-            {prediction && <pre>{JSON.stringify(prediction, null, 2)}</pre>}
+            {/* Display Output Params */}
+            {outputParams.length > 0 && prediction && (
+                <div>
+                    <h3>Prediction Results</h3>
+                    {outputParams.map((param, index) => (
+                        <div key={index}>
+                            <strong>{param}: </strong>
+                            {prediction[index]}
+                        </div>
+                    ))}
+                </div>
+            )}
         </div>
     );
 };
@@ -105,375 +95,126 @@ export default Predict;
 
 
 
-// import { useState, useEffect } from "react";
-// import axios from "axios";
 
-// const API_BASE_URL = "http://localhost:8000"; // Update if needed
 
-// const ModelManager = () => {
-//   const [models, setModels] = useState([]);
-//   const [selectedModel, setSelectedModel] = useState("");
-//   const [inputParams, setInputParams] = useState([]);
-//   const [outputParams, setOutputParams] = useState([]);
-//   const [inputValues, setInputValues] = useState({});
-//   const [predictions, setPredictions] = useState(null);
-//   const [file, setFile] = useState(null);
 
-//   // Fetch available models
-//   useEffect(() => {
-//     const fetchModels = async () => {
-//       try {
-//         const res = await axios.get(`${API_BASE_URL}/models`);
-//         setModels(res.data.models);
-//       } catch (err) {
-//         console.error("Error fetching models:", err);
-//       }
-//     };
-//     fetchModels();
-//   }, []);
-
-//   // Upload a new model
-//   const handleUpload = async () => {
-//     if (!file) {
-//       alert("Please select a model file to upload.");
-//       return;
-//     }
-//     const formData = new FormData();
-//     formData.append("file", file);
-
-//     try {
-//       const res = await axios.post(`${API_BASE_URL}/upload`, formData, {
-//         headers: { "Content-Type": "multipart/form-data" },
-//       });
-//       alert(res.data.message);
-//       setModels([...models, res.data.model_name]); // Update model list
-//     } catch (error) {
-//       console.error("Error uploading model:", error);
-//     }
-//   };
-
-//   // Load a selected model
-//   const handleLoadModel = async () => {
-//     if (!selectedModel) {
-//       alert("Please select a model.");
-//       return;
-//     }
-//     try {
-//       const res = await axios.post(
-//         `${API_BASE_URL}/load_model`,
-//         { model_name: selectedModel },
-//         { headers: { "Content-Type": "application/json" } }
-//       );
-//       alert(res.data.message);
-
-//       // Fetch input/output parameters
-//       const modelInfoRes = await axios.get(`${API_BASE_URL}/model_info/${selectedModel}`);
-//       setInputParams(modelInfoRes.data.input_params || []);
-//       setOutputParams(modelInfoRes.data.output_params || []);
-
-//       // Initialize inputValues with empty/default values
-//       const defaultInputs = modelInfoRes.data.input_params.reduce((acc, param) => {
-//         acc[param] = ""; // Initialize with an empty string or default value
-//         return acc;
-//       }, {});
-//       setInputValues(defaultInputs);
-//     } catch (error) {
-//       console.error("Error loading model:", error.response?.data || error.message);
-//     }
-//   };
-
-//   // Handle input parameter changes
-//   const handleInputChange = (param, value) => {
-//     setInputValues({ ...inputValues, [param]: parseFloat(value) || 0 });
-//   };
-
-//   // Make a prediction
-//   const handlePredict = async () => {
-//     if (!selectedModel) {
-//       alert("Please select a model first.");
-//       return;
-//     }
-//     try {
-//       const res = await axios.post(`${API_BASE_URL}/predict`, {
-//         model_name: selectedModel,
-//         input_data: inputValues,
-//       });
-//       setPredictions(res.data.prediction);
-//     } catch (error) {
-//       console.error("Error making prediction:", error);
-//     }
-//   };
-
-//   return (
-//     <div className="container mx-auto p-6">
-//       <h2 className="text-2xl font-semibold mb-6">Model Manager</h2>
-
-//       {/* Upload Section */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Upload New Model</h3>
-//         <input type="file" onChange={(e) => setFile(e.target.files[0])} className="block mb-4 p-2 border rounded-md" />
-//         <button onClick={handleUpload} className="bg-blue-500 text-white px-4 py-2 rounded-lg hover:bg-blue-600 transition-colors">
-//           Upload Model
-//         </button>
-//       </div>
-
-//       {/* Model Selection */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Select Model</h3>
-//         <select
-//           value={selectedModel}
-//           onChange={(e) => setSelectedModel(e.target.value)}
-//           className="block mb-4 p-2 border rounded-md w-full"
-//         >
-//           <option value="">-- Select a model --</option>
-//           {models.map((model, idx) => (
-//             <option key={idx} value={model}>{model}</option>
-//           ))}
-//         </select>
-//         <button onClick={handleLoadModel} className="bg-green-500 text-white px-4 py-2 rounded-lg hover:bg-green-600 transition-colors">
-//           Load Model
-//         </button>
-//       </div>
-
-//       {/* Input Values (Dynamically Generated) */}
-//       {inputParams.length > 0 && (
-//         <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//           <h3 className="text-lg font-medium mb-4">Enter Input Values</h3>
-//           {inputParams.map((param, idx) => (
-//             <div key={idx} className="mb-4">
-//               <label className="block text-sm font-medium mb-2">{param}</label>
-//               <input
-//                 type="number"
-//                 placeholder={`Enter ${param}`}
-//                 className="block p-2 border rounded-md w-full"
-//                 value={inputValues[param] || ""}
-//                 onChange={(e) => handleInputChange(param, e.target.value)}
-//               />
-//             </div>
-//           ))}
-//         </div>
-//       )}
-
-//       {/* Prediction Button */}
-//       {inputParams.length > 0 && (
-//         <div className="text-center mb-6">
-//           <button onClick={handlePredict} className="bg-purple-500 text-white px-6 py-2 rounded-lg hover:bg-purple-600 transition-colors">
-//             Make Prediction
-//           </button>
-//         </div>
-//       )}
-
-//       {/* Prediction Results (Dynamically Generated) */}
-//       {predictions && (
-//         <div className="bg-white p-4 rounded-lg shadow-md">
-//           <h3 className="text-lg font-medium mb-4">Prediction Results:</h3>
-//           <ul>
-//             {outputParams.map((param, idx) => (
-//               <li key={idx} className="mb-2">
-//                 <strong>{param}:</strong> {predictions[param]}
-//               </li>
-//             ))}
-//           </ul>
-//         </div>
-//       )}
-//     </div>
-//   );
-// };
 
-// export default ModelManager;
-
-/////////////////////////////////////////////////////////////////////////////////////////////////////////
-
-// import { useState, useEffect } from "react";
-// import axios from "axios";
-
-// const API_BASE_URL = "http://localhost:8000"; // Update if your backend is running elsewhere
-
-// const ModelManager = () => {
-//   const [models, setModels] = useState([]);
-//   const [selectedModel, setSelectedModel] = useState("");
-//   const [inputParams, setInputParams] = useState([]);
-//   const [outputParams, setOutputParams] = useState([]);
-//   const [inputValues, setInputValues] = useState({});
-//   const [predictions, setPredictions] = useState(null);
-//   const [file, setFile] = useState(null);
-
-//   // Fetch available models
-//   const fetchModels = async () => {
-//     try {
-//       const res = await axios.get(`${API_BASE_URL}/models`);
-//       setModels(res.data.models);
-//     } catch (err) {
-//       console.error("Error fetching models:", err);
-//     }
-//   };
-
-//   useEffect(() => {
-//     fetchModels();
-//   }, []);
-
-//   // Upload a new model
-//   const handleUpload = async () => {
-//     if (!file) {
-//       alert("Please select a model file to upload.");
-//       return;
-//     }
-//     const formData = new FormData();
-//     formData.append("file", file);
-
-//     try {
-//       const res = await axios.post(`${API_BASE_URL}/upload`, formData, {
-//         headers: { "Content-Type": "multipart/form-data" },
-//       });
-//       alert(res.data.message);
-//       fetchModels(); // Refresh models list after upload
-//     } catch (error) {
-//       console.error("Error uploading model:", error);
-//     }
-//   };
-
-//   // Load a selected model
-//   const handleLoadModel = async () => {
-//     if (!selectedModel) {
-//       alert("Please select a model.");
-//       return;
-//     }
-//     try {
-//       const res = await axios.post(`${API_BASE_URL}/load_model`, {
-//         model_name: selectedModel,
-//       }, {
-//         headers: { "Content-Type": "application/json" },
-//       });
-//       alert(res.data.message);
-  
-//       // Fetch model input/output parameters safely
-//       const modelInfoRes = await axios.get(`${API_BASE_URL}/model_info/${selectedModel}`);
-//       setInputParams(modelInfoRes.data.input_params || []); // Default to empty array if undefined
-//       setOutputParams(modelInfoRes.data.output_params || []); // Default to empty array if undefined
-//     } catch (error) {
-//       console.error("Error loading model:", error.response?.data || error.message);
-//     }
-//   };
-
-//   // Handle input parameter changes
-//   const handleInputChange = (param, value) => {
-//     setInputValues({ ...inputValues, [param]: parseFloat(value) || 0 });
-//   };
-
-//   // Make a prediction
-//   const handlePredict = async () => {
-//     if (!selectedModel) {
-//       alert("Please select a model first.");
-//       return;
-//     }
-//     if (inputParams.length === 0 || outputParams.length === 0) {
-//       alert("Define both input and output parameters.");
-//       return;
-//     }
-
-//     try {
-//       const res = await axios.post(`${API_BASE_URL}/predict`, {
-//         model_name: selectedModel,
-//         input_data: inputValues,
-//         input_params: inputParams,
-//         output_params: outputParams,
-//       });
-//       setPredictions(res.data.prediction);
-//     } catch (error) {
-//       console.error("Error making prediction:", error);
-//     }
-//   };
-
-//   return (
-//     <div className="container mx-auto p-6">
-//       <h2 className="text-2xl font-semibold mb-6">Model Manager</h2>
-
-//       {/* Upload Section */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Upload New Model</h3>
-//         <input type="file" onChange={(e) => setFile(e.target.files[0])} className="block mb-4 p-2 border rounded-md" />
-//         <button onClick={handleUpload} className="bg-blue-500 text-white px-4 py-2 rounded-lg hover:bg-blue-600 transition-colors">
-//           Upload Model
-//         </button>
-//       </div>
-
-//       {/* Model Selection */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Select Model</h3>
-//         <select
-//           value={selectedModel}
-//           onChange={(e) => setSelectedModel(e.target.value)}
-//           className="block mb-4 p-2 border rounded-md w-full"
-//         >
-//           <option value="">-- Select a model --</option>
-//           {models.map((model, idx) => (
-//             <option key={idx} value={model}>{model}</option>
-//           ))}
-//         </select>
-//         <button onClick={handleLoadModel} className="bg-green-500 text-white px-4 py-2 rounded-lg hover:bg-green-600 transition-colors">
-//           Load Model
-//         </button>
-//       </div>
-
-//       {/* Input Parameter Definition */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Define Input Parameters</h3>
-//         <input
-//           type="text"
-//           placeholder="Comma-separated inputs (e.g., AmountServer,Coolingdefect)"
-//           className="block mb-4 p-2 border rounded-md w-full"
-//           value={inputParams ? inputParams.join(", ") : ""} // Ensure inputParams is valid
-//           onChange={(e) => setInputParams(e.target.value.split(",").map((p) => p.trim()))}
-//         />
-//       </div>
-
-//       {/* Output Parameter Definition */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Define Output Parameters</h3>
-//         <input
-//           type="text"
-//           placeholder="Comma-separated outputs (e.g., Throughput,OEE)"
-//           className="block mb-4 p-2 border rounded-md w-full"
-//           value={outputParams ? outputParams.join(", ") : ""} // Ensure outputParams is valid
-//           onChange={(e) => setOutputParams(e.target.value.split(",").map((p) => p.trim()))}
-//         />
-//       </div>
-
-//       {/* Input Values */}
-//       <div className="bg-white p-4 rounded-lg shadow-md mb-6">
-//         <h3 className="text-lg font-medium mb-4">Enter Input Values</h3>
-//         {inputParams.map((param, idx) => (
-//           <div key={idx} className="mb-4">
-//             <label className="block text-sm font-medium mb-2">{param}</label>
-//             <input
-//               type="number"
-//               placeholder={`Enter ${param}`}
-//               className="block p-2 border rounded-md w-full"
-//               onChange={(e) => handleInputChange(param, e.target.value)}
-//             />
-//           </div>
-//         ))}
-//       </div>
-
-//       {/* Prediction Button */}
-//       <div className="text-center mb-6">
-//         <button onClick={handlePredict} className="bg-purple-500 text-white px-6 py-2 rounded-lg hover:bg-purple-600 transition-colors">
-//           Make Prediction
-//         </button>
-//       </div>
-
-//       {/* Prediction Results */}
-//       {predictions && (
-//         <div className="bg-white p-4 rounded-lg shadow-md">
-//           <h3 className="text-lg font-medium mb-4">Prediction Results:</h3>
-//           <pre className="whitespace-pre-wrap break-words">{JSON.stringify(predictions, null, 2)}</pre>
-//         </div>
-//       )}
-//     </div>
-//   );
-// };
 
-// export default ModelManager;
 
 
 
+
+
+
+
+
+
+
+
+
+
+
+
+
+// import React, { useState, useEffect } from "react";
+// import { makePrediction } from "../api.js";
+
+// const Predict = () => {
+//     const [models, setModels] = useState([]);
+//     const [selectedModel, setSelectedModel] = useState("");
+//     const [inputData, setInputData] = useState({});
+//     const [prediction, setPrediction] = useState(null);
+//     const [inputParams, setInputParams] = useState([]);
+
+//     useEffect(() => {
+//         const fetchModels = async () => {
+//             try {
+//                 const response = await fetch("http://127.0.0.1:8000/predict/models");
+//                 const result = await response.json();
+//                 setModels(result.models);
+//             } catch (error) {
+//                 console.error("Error fetching models:", error);
+//             }
+//         };
+
+//         fetchModels();
+//     }, []);
+
+//     useEffect(() => {
+//         const fetchModelParams = async () => {
+//             if (selectedModel) {
+//                 try {
+//                     const response = await fetch(`http://127.0.0.1:8000/predict/params/${selectedModel}`);
+//                     const result = await response.json();
+//                     setInputParams(result.input_params || []); // Ensure inputParams is always an array
+//                 } catch (error) {
+//                     console.error("Error fetching model parameters:", error);
+//                     setInputParams([]); // Reset to empty array if error occurs
+//                 }
+//             }
+//         };
+
+//         fetchModelParams();
+//     }, [selectedModel]);
+
+//     const handlePredict = async () => {
+//         const data = {
+//             project_name: selectedModel,
+//             input_data: inputData,
+//         };
+//         try {
+//             const res = await makePrediction(data);
+//             setPrediction(res.data.prediction);
+//         } catch (error) {
+//             console.error("Error making prediction:", error);
+//         }
+//     };
+
+//     const handleInputChange = (e, param) => {
+//         setInputData((prevData) => ({
+//             ...prevData,
+//             [param]: e.target.value,
+//         }));
+//     };
+
+//     return (
+//         <div>
+//             <h2>Make Prediction</h2>
+
+//             <select value={selectedModel} onChange={(e) => setSelectedModel(e.target.value)}>
+//                 <option value="">Select Model</option>
+//                 {models.length > 0 ? (
+//                     models.map((model, index) => (
+//                         <option key={index} value={model}>
+//                             {model}
+//                         </option>
+//                     ))
+//                 ) : (
+//                     <option value="">No models available</option>
+//                 )}
+//             </select>
+
+//             {Array.isArray(inputParams) && inputParams.length > 0 ? (
+//                 inputParams.map((param, index) => (
+//                     <div key={index}>
+//                         <label>{param}</label>
+//                         <input
+//                             type="text"
+//                             placeholder={param}
+//                             value={inputData[param] || ""}
+//                             onChange={(e) => handleInputChange(e, param)}
+//                         />
+//                     </div>
+//                 ))
+//             ) : (
+//                 <div>No input parameters available</div>
+//             )}
+
+//             <button onClick={handlePredict}>Predict</button>
+
+//             {prediction && <pre>{JSON.stringify(prediction, null, 2)}</pre>}
+//         </div>
+//     );
+// };
+
+// export default Predict;
diff --git a/frontend/src/components/Train.jsx b/frontend/src/components/Train.jsx
index 3bd426208d20978081e0ec9fd0cecfa6c3310734..ddbb2f1b4ed665b7e542382690a91ac3c459195b 100644
--- a/frontend/src/components/Train.jsx
+++ b/frontend/src/components/Train.jsx
@@ -1,75 +1,69 @@
 import React, { useState, useEffect } from "react";
-import { trainModel } from "../api.js"; // Assuming trainModel is an API function
+import { fetchDatasets, fetchDatasetColumns, preprocessDataset, trainModel } from "../api.js";
 
 const Train = () => {
     const [projectName, setProjectName] = useState("");
-    const [datasets, setDatasets] = useState([]); // Store available datasets
+    const [datasets, setDatasets] = useState([]);
     const [selectedDataset, setSelectedDataset] = useState("");
+    const [datasetColumns, setDatasetColumns] = useState([]);
     const [inputParams, setInputParams] = useState([]);
     const [outputParams, setOutputParams] = useState([]);
     const [splitType, setSplitType] = useState("train_test");
-    const [fetchError, setFetchError] = useState(null); // To store fetch error messages
-    const [datasetColumns, setDatasetColumns] = useState([]); // Store dataset columns
+    const [fetchError, setFetchError] = useState(null);
 
-    // Fetch datasets when the component mounts
     useEffect(() => {
-        const fetchDatasets = async () => {
+        const loadDatasets = async () => {
             try {
-                const response = await fetch("http://127.0.0.1:8000/train/datasets");
-                if (!response.ok) {
-                    throw new Error("Failed to fetch datasets");
-                }
-                const result = await response.json();
-                setDatasets(result.datasets); // Assuming the response contains the datasets under 'datasets'
+                const datasets = await fetchDatasets();
+                setDatasets(datasets);
             } catch (error) {
                 setFetchError(error.message);
             }
         };
-
-        fetchDatasets();
+        loadDatasets();
     }, []);
 
-    // Fetch columns of the selected dataset dynamically (for both JSON and CSV)
     useEffect(() => {
-        const fetchColumns = async () => {
-            if (!selectedDataset) return;
-        
+        if (!selectedDataset) return; // Only fetch when a dataset is selected
+        const loadDatasetColumns = async () => {
             try {
-                const response = await fetch(`http://127.0.0.1:8000/train/dataset-columns/${encodeURIComponent(selectedDataset)}`);
-                if (!response.ok) {
-                    throw new Error(`Failed to fetch dataset columns: ${response.statusText}`);
-                }
-                const result = await response.json();
-                setDatasetColumns(result.columns); // Use 'columns' key
+                const columns = await fetchDatasetColumns(selectedDataset);
+                setDatasetColumns(columns || []);
             } catch (error) {
                 setFetchError(error.message);
             }
         };
+        loadDatasetColumns();
+    }, [selectedDataset]);
 
-        fetchColumns();
-    }, []);
-
-    const handleTrain = async () => {
+    const handlePreprocess = async () => {
         if (!selectedDataset) {
             alert("Please select a dataset.");
             return;
         }
+        try {
+            await preprocessDataset({ dataset_name: selectedDataset });
+            alert("Preprocessing completed.");
+        } catch (error) {
+            console.error("Error preprocessing dataset:", error);
+        }
+    };
 
-        const data = {
-            project_name: projectName,
-            dataset_name: selectedDataset,
-            input_params: inputParams,
-            output_params: outputParams,
-            split_type: splitType,
-            tuner_types: ["random", "bayesian", "hyperband", "greedy"], // Send all tuner types in parallel
-        };
-
+    const handleTrain = async () => {
+        if (!selectedDataset || inputParams.length === 0 || outputParams.length === 0) {
+            alert("Please complete all selections.");
+            return;
+        }
         try {
-            const res = await trainModel(data);
+            const res = await trainModel({
+                project_name: projectName,
+                dataset_name: selectedDataset,
+                input_params: inputParams,
+                output_params: outputParams,
+                split_type: splitType,
+                tuner_types: ["random", "bayesian", "hyperband", "greedy"],
+            });
             alert(res.data.message);
-            // Optionally, set params based on backend response after model is trained
-            setInputParams(res.data.input_params);
-            setOutputParams(res.data.output_params);
         } catch (error) {
             console.error("Error training model:", error);
         }
@@ -78,38 +72,26 @@ const Train = () => {
     return (
         <div>
             <h2>Train Model</h2>
-            <input
-                type="text"
-                placeholder="Project Name"
-                value={projectName}
-                onChange={(e) => setProjectName(e.target.value)}
-            />
+            <input type="text" placeholder="Project Name" value={projectName} onChange={(e) => setProjectName(e.target.value)} />
+            {fetchError ? <p style={{ color: "red" }}>Error: {fetchError}</p> : null}
+            <select value={selectedDataset} onChange={(e) => setSelectedDataset(e.target.value)}>
+                {/* <option value="">Select Dataset</option>
+                {datasets.map((dataset, index) => (
+                    <option key={index} value={dataset}>{dataset}</option>
+                ))} */}
+            </select>
+            <button onClick={handlePreprocess}>Preprocess</button>
 
-            {fetchError ? (
-                <p style={{ color: "red" }}>Error: {fetchError}</p>
-            ) : (
-                <select value={selectedDataset} onChange={(e) => setSelectedDataset(e.target.value)}>
-                    <option value="">Select Dataset</option>
-                    {datasets.map((dataset, index) => (
-                        <option key={index} value={dataset}>
-                            {dataset}
+            {Array.isArray(datasetColumns) && datasetColumns.length > 0 && (
+                <select multiple value={inputParams} onChange={(e) => setInputParams([...e.target.selectedOptions].map(o => o.value))}>
+                    {datasetColumns.map((col, index) => (
+                        <option key={index} value={col}>
+                            {col}
                         </option>
                     ))}
                 </select>
             )}
 
-            <input
-                type="text"
-                placeholder="Input Parameters (comma-separated)"
-                value={inputParams.join(",")}
-                onChange={(e) => setInputParams(e.target.value.split(","))}
-            />
-            <input
-                type="text"
-                placeholder="Output Parameters (comma-separated)"
-                value={outputParams.join(",")}
-                onChange={(e) => setOutputParams(e.target.value.split(","))}
-            />
             <select value={splitType} onChange={(e) => setSplitType(e.target.value)}>
                 <option value="train_test">Train/Test Split</option>
                 <option value="train_only">Train Only</option>