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Commit a42958ec authored by Leon Michel Gorißen's avatar Leon Michel Gorißen
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Merge branch 'main' of...

Merge branch 'main' of git-ce.rwth-aachen.de:iop/workstreams/ws.a3/franka_wwl_demonstrator into main
parents eb7c4544 94bd5f85
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...@@ -25,8 +25,8 @@ dynamics_learning/benchmark_number_of_runs.py:214: # TODO load ITA model ...@@ -25,8 +25,8 @@ dynamics_learning/benchmark_number_of_runs.py:214: # TODO load ITA model
dynamics_learning/benchmark_number_of_runs.py:265: # TODO load ITA model instead of dummy model dynamics_learning/benchmark_number_of_runs.py:265: # TODO load ITA model instead of dummy model
dynamics_learning/dynamics_learning/testing/__init__.py:256: # somewhere FIXME: Daten scheinen zu kurz zu sein? dynamics_learning/dynamics_learning/testing/__init__.py:256: # somewhere FIXME: Daten scheinen zu kurz zu sein?
dynamics_learning/dynamics_learning/testing/__init__.py:640: # somewhere FIXME: Daten scheinen zu kurz zu sein? dynamics_learning/dynamics_learning/testing/__init__.py:640: # somewhere FIXME: Daten scheinen zu kurz zu sein?
dynamics_learning/dynamics_learning/training/__init__.py:265: ) # TODO implement another naming schema, as soon as a custom application profiles for the models is available in coscine. dynamics_learning/dynamics_learning/training/__init__.py:275: ) # TODO implement another naming schema, as soon as a custom application profiles for the models is available in coscine.
dynamics_learning/dynamics_learning/training/__init__.py:271: f"{decision_metric}_val_loss" # TODO implement custom coscine application profile for the models based on MITM base profile dynamics_learning/dynamics_learning/training/__init__.py:281: f"{decision_metric}_val_loss" # TODO implement custom coscine application profile for the models based on MITM base profile
dynamics_learning/train_instance.py:38: # TODO download data from ita / use data from ita dynamics_learning/train_instance.py:38: # TODO download data from ita / use data from ita
dynamics_learning/train_instance.py:71: # TODO save model and hyperparameters locally dynamics_learning/train_instance.py:71: # TODO save model and hyperparameters locally
franka_lock_unlock/README.rst:1:.. TODO describe docker compose up for individual component franka_lock_unlock/README.rst:1:.. TODO describe docker compose up for individual component
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