diff --git a/dynamics_learning/entrypoint.sh b/dynamics_learning/entrypoint.sh index 87e40dd0cd77b01a8478ea649e2e97e8cb374590..d1413e6b9aa16fb7b7a4aaa3c5286093f2549813 100755 --- a/dynamics_learning/entrypoint.sh +++ b/dynamics_learning/entrypoint.sh @@ -4,7 +4,7 @@ printenv >> /etc/environment # Write out the cron job to a file -echo "* * * * * /usr/bin/env python3 /app/dynamics_learning/foundation_model.py >> /var/log/cron.log 2>&1" > /etc/cron.d/mycron +echo "* 2 * * * /usr/bin/env python3 /app/dynamics_learning/foundation_model.py >> /var/log/cron.log 2>&1" > /etc/cron.d/mycron # Apply cron job crontab /etc/cron.d/mycron diff --git a/dynamics_learning/foundation_model.py b/dynamics_learning/foundation_model.py index 1e49ed4b8224a0d50f5b87a45f8adbf7b900e799..ddc78593c07aba75ffaf32573cbb1760e9b614a1 100644 --- a/dynamics_learning/foundation_model.py +++ b/dynamics_learning/foundation_model.py @@ -72,9 +72,9 @@ if __name__ == "__main__": if model: logger.info("Evaluating current model with test data.") test_dataset = Dataset(type="test") - test_dataset.download() # FIXME + test_dataset.download() interpolate("/app/dynamics_learning/Trajectory Data/test") - model_analysis(test_dataset, model) # FIXME + model_analysis(test_dataset, model) "\n=====================================\nModel evaluated\n=====================================\n" else: logger.info("Model is not being evaluated.") diff --git a/dynamics_learning/train_instance.py b/dynamics_learning/train_instance.py new file mode 100644 index 0000000000000000000000000000000000000000..38fb8ccaa481e7019ed1fa082a353ffe8caa2a39 --- /dev/null +++ b/dynamics_learning/train_instance.py @@ -0,0 +1 @@ +# 5vlv6m3t: ITA instance from scratch (used to train LLT instance)