2025-02-24 07:29:39,977 - main.py - DEBUG - 60 - loading sales data..
2025-02-24 07:29:40,791 - reading_data.py - DEBUG - 129 - start date: 2022-03-01 00:00:00 end date: 2025-04-30 00:00:00
2025-02-24 07:30:13,788 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:30:13,898 - algorithm.py - DEBUG - 78 - shape: (58278, 269) start: 2022-03-01 00:00:00 end: 2023-12-06 00:00:00
2025-02-24 07:30:18,615 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:30:18,622 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:30:28,396 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 1)
2025-02-24 07:30:28,398 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 1)
2025-02-24 07:30:28,398 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:30:28,875 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 1)
2025-02-24 07:30:28,877 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 1)
2025-02-24 07:30:28,877 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:30:28,985 - algorithm.py - DEBUG - 78 - shape: (60855, 269) start: 2022-03-01 00:00:00 end: 2024-01-06 00:00:00
2025-02-24 07:30:33,451 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:30:33,464 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:30:43,216 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 2)
2025-02-24 07:30:43,219 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 2)
2025-02-24 07:30:43,219 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:30:43,693 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 2)
2025-02-24 07:30:43,695 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 2)
2025-02-24 07:30:43,696 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:30:43,808 - algorithm.py - DEBUG - 78 - shape: (63739, 269) start: 2022-03-01 00:00:00 end: 2024-02-06 00:00:00
2025-02-24 07:30:48,659 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:30:48,667 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:30:58,403 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 3)
2025-02-24 07:30:58,405 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 3)
2025-02-24 07:30:58,406 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:30:58,870 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 3)
2025-02-24 07:30:58,872 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 3)
2025-02-24 07:30:58,873 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:30:58,990 - algorithm.py - DEBUG - 78 - shape: (66484, 269) start: 2022-03-01 00:00:00 end: 2024-03-06 00:00:00
2025-02-24 07:31:04,041 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:31:04,050 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:13,923 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 4)
2025-02-24 07:31:13,926 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 4)
2025-02-24 07:31:13,926 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:14,398 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 4)
2025-02-24 07:31:14,400 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 4)
2025-02-24 07:31:14,400 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:31:14,521 - algorithm.py - DEBUG - 78 - shape: (69259, 269) start: 2022-03-01 00:00:00 end: 2024-04-06 00:00:00
2025-02-24 07:31:19,447 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:31:19,457 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:29,003 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 5)
2025-02-24 07:31:29,006 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 5)
2025-02-24 07:31:29,006 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:29,474 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 5)
2025-02-24 07:31:29,476 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 5)
2025-02-24 07:31:29,476 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:31:29,599 - algorithm.py - DEBUG - 78 - shape: (71921, 269) start: 2022-03-01 00:00:00 end: 2024-05-06 00:00:00
2025-02-24 07:31:34,652 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:31:34,661 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:44,308 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 6)
2025-02-24 07:31:44,311 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 6)
2025-02-24 07:31:44,311 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:44,778 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 6)
2025-02-24 07:31:44,780 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 6)
2025-02-24 07:31:44,781 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:31:44,908 - algorithm.py - DEBUG - 78 - shape: (74585, 269) start: 2022-03-01 00:00:00 end: 2024-06-06 00:00:00
2025-02-24 07:31:50,111 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:31:50,119 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:31:59,541 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 7)
2025-02-24 07:31:59,543 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 7)
2025-02-24 07:31:59,543 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:00,012 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 7)
2025-02-24 07:32:00,014 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 7)
2025-02-24 07:32:00,015 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:32:00,148 - algorithm.py - DEBUG - 78 - shape: (77469, 269) start: 2022-03-01 00:00:00 end: 2024-07-06 00:00:00
2025-02-24 07:32:05,362 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:32:05,371 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:15,180 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 8)
2025-02-24 07:32:15,183 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 8)
2025-02-24 07:32:15,183 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:15,649 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 8)
2025-02-24 07:32:15,650 - prediction_task.py - DEBUG - 31 - test data not found for 195 Kelheim in period (2024, 8)
2025-02-24 07:32:15,651 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:32:15,788 - algorithm.py - DEBUG - 78 - shape: (80338, 269) start: 2022-03-01 00:00:00 end: 2024-08-06 00:00:00
2025-02-24 07:32:21,050 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:32:21,061 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:30,838 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 9)
2025-02-24 07:32:30,923 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:31,394 - prediction_task.py - DEBUG - 31 - test data not found for 194 Michelfeld in period (2024, 9)
2025-02-24 07:32:31,399 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:32:31,538 - algorithm.py - DEBUG - 78 - shape: (83257, 269) start: 2022-03-01 00:00:00 end: 2024-09-06 00:00:00
2025-02-24 07:32:37,011 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:32:37,019 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:37,878 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2024, 10)
2025-02-24 07:32:46,700 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:46,745 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2024, 10)
2025-02-24 07:32:47,161 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:32:47,305 - algorithm.py - DEBUG - 78 - shape: (85917, 269) start: 2022-03-01 00:00:00 end: 2024-10-05 00:00:00
2025-02-24 07:32:52,823 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:32:52,831 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:32:53,886 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2024, 11)
2025-02-24 07:33:02,691 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:02,736 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2024, 11)
2025-02-24 07:33:03,156 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:33:03,303 - algorithm.py - DEBUG - 78 - shape: (88832, 269) start: 2022-03-01 00:00:00 end: 2024-11-06 00:00:00
2025-02-24 07:33:09,302 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:33:09,313 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:10,160 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2024, 12)
2025-02-24 07:33:18,761 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:18,808 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2024, 12)
2025-02-24 07:33:19,244 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:33:19,402 - algorithm.py - DEBUG - 78 - shape: (91727, 269) start: 2022-03-01 00:00:00 end: 2024-12-06 00:00:00
2025-02-24 07:33:25,255 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:33:25,267 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:26,310 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2025, 1)
2025-02-24 07:33:29,010 - prediction_task.py - DEBUG - 31 - test data not found for 96 Hof in period (2025, 1)
2025-02-24 07:33:34,892 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:34,940 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2025, 1)
2025-02-24 07:33:35,073 - prediction_task.py - DEBUG - 31 - test data not found for 96 Hof in period (2025, 1)
2025-02-24 07:33:35,357 - algorithm.py - DEBUG - 72 - start training with xgboost...
2025-02-24 07:33:35,468 - algorithm.py - DEBUG - 78 - shape: (63739, 269) start: 2022-03-01 00:00:00 end: 2024-02-06 00:00:00
2025-02-24 07:33:40,134 - algorithm.py - INFO - 109 - parameters {'objective': 'reg:squarederror', 'base_score': None, 'booster': None, 'callbacks': None, 'colsample_bylevel': None, 'colsample_bynode': None, 'colsample_bytree': 1.0, 'device': None, 'early_stopping_rounds': None, 'enable_categorical': False, 'eval_metric': <function mean_absolute_percentage_error at 0x7ba6112dd9d0>, 'feature_types': None, 'gamma': None, 'grow_policy': None, 'importance_type': None, 'interaction_constraints': None, 'learning_rate': 0.02, 'max_bin': None, 'max_cat_threshold': None, 'max_cat_to_onehot': None, 'max_delta_step': None, 'max_depth': 6, 'max_leaves': None, 'min_child_weight': None, 'missing': nan, 'monotone_constraints': None, 'multi_strategy': None, 'n_estimators': 900, 'n_jobs': -1, 'num_parallel_tree': None, 'random_state': None, 'reg_alpha': 0.0, 'reg_lambda': 1.0, 'sampling_method': None, 'scale_pos_weight': None, 'subsample': 1.0, 'tree_method': None, 'validate_parameters': None, 'verbosity': None}
2025-02-24 07:33:40,148 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:40,987 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2025, 3)
2025-02-24 07:33:43,700 - prediction_task.py - DEBUG - 31 - test data not found for 96 Hof in period (2025, 3)
2025-02-24 07:33:49,787 - prediction_task.py - DEBUG - 21 - predictions starting...
2025-02-24 07:33:49,832 - prediction_task.py - DEBUG - 31 - test data not found for 29 Kelheim II in period (2025, 3)
2025-02-24 07:33:49,968 - prediction_task.py - DEBUG - 31 - test data not found for 96 Hof in period (2025, 3)
2025-02-24 07:34:08,856 - functions.py - INFO - 87 - No duplicates found in predictions.
2025-02-24 07:34:54,051 - functions.py - DEBUG - 206 - metric: mae
2025-02-24 07:34:59,703 - functions.py - DEBUG - 206 - metric: mape
2025-02-24 07:35:05,328 - functions.py - DEBUG - 206 - metric: jensen_shannon
2025-02-24 07:35:10,944 - functions.py - DEBUG - 206 - metric: kullback_leibler
2025-02-24 07:35:18,256 - conversion_functions.py - DEBUG - 168 - business hours file: (1332, 9) Index(['fg_sg', 'fg_bez', 'Bundesland', 'year', 'month', 'weekday_hours', 'saturday_hours', 'weekday_hours_extra', 'saturday_hours_extra'], dtype='object')
2025-02-24 07:35:18,507 - conversion_functions.py - DEBUG - 168 - business hours file: (2664, 9) Index(['fg_sg', 'fg_bez', 'Bundesland', 'year', 'month', 'weekday_hours', 'saturday_hours', 'weekday_hours_extra', 'saturday_hours_extra'], dtype='object')
2025-02-24 07:35:18,757 - conversion_functions.py - DEBUG - 168 - business hours file: (3996, 9) Index(['fg_sg', 'fg_bez', 'Bundesland', 'year', 'month', 'weekday_hours', 'saturday_hours', 'weekday_hours_extra', 'saturday_hours_extra'], dtype='object')
2025-02-24 07:35:18,854 - conversion_functions.py - DEBUG - 168 - business hours file: (4662, 10) Index(['fg_sg', 'fg_bez', 'Bundesland', 'year', 'month', 'weekday_hours', 'saturday_hours', 'weekday_hours_extra', 'saturday_hours_extra', 'season'], dtype='object')