diff --git a/src/trainers/quantile_trainer.py b/src/trainers/quantile_trainer.py index c7f6da7..fda821c 100644 --- a/src/trainers/quantile_trainer.py +++ b/src/trainers/quantile_trainer.py @@ -675,7 +675,7 @@ class NonAutoRegressiveQuantileRegression(Trainer): title="Final Training Plot", series=f"Sample {actual_idx}", iteration=epoch, - image_path=f"sample_{actual_idx}_plot.png", + local_path=f"sample_{actual_idx}_plot.png", ) fig2.savefig(f"sample_{actual_idx}_samples_plot.png") @@ -683,7 +683,7 @@ class NonAutoRegressiveQuantileRegression(Trainer): title="Final Training Samples Plot", series=f"Sample {actual_idx} samples", iteration=epoch, - image_path=f"sample_{actual_idx}_samples_plot.png", + local_path=f"sample_{actual_idx}_samples_plot.png", ) plt.close() diff --git a/src/trainers/trainer.py b/src/trainers/trainer.py index a654df1..fb28a9c 100644 --- a/src/trainers/trainer.py +++ b/src/trainers/trainer.py @@ -367,7 +367,7 @@ class Trainer: title="Final Training Plot", series=f"Sample {actual_idx}", iteration=epoch, - image_path=f"sample_{actual_idx}_plot.png", + local_path=f"sample_{actual_idx}_plot.png", ) fig2.savefig(f"sample_{actual_idx}_samples_plot.png") @@ -375,7 +375,7 @@ class Trainer: title="Final Training Samples Plot", series=f"Sample {actual_idx} samples", iteration=epoch, - image_path=f"sample_{actual_idx}_samples_plot.png", + local_path=f"sample_{actual_idx}_samples_plot.png", ) plt.close() diff --git a/src/training_scripts/non_autoregressive_quantiles.py b/src/training_scripts/non_autoregressive_quantiles.py index 0722e17..703146b 100644 --- a/src/training_scripts/non_autoregressive_quantiles.py +++ b/src/training_scripts/non_autoregressive_quantiles.py @@ -2,7 +2,9 @@ from src.utils.clearml import ClearMLHelper #### ClearML #### clearml_helper = ClearMLHelper(project_name="Thesis/NAQR: Linear") -task = clearml_helper.get_task(task_name="NAQR: Linear + Load + PV + Wind + Net Position") +task = clearml_helper.get_task( + task_name="NAQR: Linear + Load + PV + Wind + Net Position" +) task.execute_remotely(queue_name="default", exit_process=True) from src.policies.PolicyEvaluator import PolicyEvaluator