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1 | Run ID | Name | Source Type | Source Name | User | Status | activation_func | actual_epochs | backlooking_window | baseline | batch_size | class_weight | data_dataset | data_hash | data_hash_first_level | data_hash_second_level | data_normalize_method | data_split_method | data_time_period | data_train_sample_size | data_window_input_width | data_window_pred_width | data_y_col | dataset_cols_X_exclude | dataset_cols_X_just_these | dataset_cols_y | dataset_hash_first | dataset_hash_input | dataset_hash_second | dataset_iter_step | dataset_normalization | dataset_split_method | dataset_split_steps_test | dataset_split_steps_train | dataset_split_steps_val | dataset_window_backlooking | dataset_window_prediction | dataset_window_shift | early_stopped | epochs | epsilon | first_layer_nodes | initial_epoch | input_size | last_layer_nodes | layer_type | learning_rate | loss | max_epochs | max_queue_size | min_delta | model_name | model_type | monitor | n_layers | num_layers | optimizer_name | output_size | patience | restore_best_weights | run | sample_weight | shuffle | steps_per_epoch | use_multiprocessing | validation_batch_size | validation_freq | validation_split | validation_steps | workers | huber_loss | loss | mean_absolute_error | mean_absolute_percentage_error | mean_directional_accuracy | mean_squared_error | mean_squared_logarithmic_error | restored_epoch | stopped_epoch | test_huber_loss | test_loss | test_mean_absolute_error | test_mean_absolute_percentage_error | test_mean_directional_accuracy | test_mean_squared_error | test_mean_squared_logarithmic_error | test_true_direction_pos | true_direction_pos | val_huber_loss | val_loss | val_mean_absolute_error | val_mean_absolute_percentage_error | val_mean_directional_accuracy | val_mean_squared_error | val_mean_squared_logarithmic_error | val_true_direction_pos |
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