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klein panic
2025-01-30 00:57:13 -05:00
parent 030529e6c7
commit 6cf5a47005
2 changed files with 558 additions and 293 deletions
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src/Machine-Learning/LSTM-python/src/LSTMDQN.log Normal file
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2025-01-30 00:40:03,878 - INFO - ===== Resource Statistics =====
2025-01-30 00:40:03,879 - INFO - Physical CPU Cores: 10
2025-01-30 00:40:03,879 - INFO - Logical CPU Cores: 12
2025-01-30 00:40:03,879 - INFO - CPU Usage per Core: [5.1, 2.0, 5.0, 2.0, 1.0, 2.0, 1.0, 1.0, 1.0, 2.0, 0.0, 1.0]%
2025-01-30 00:40:03,879 - INFO - No GPUs detected.
2025-01-30 00:40:03,879 - INFO - =================================
2025-01-30 00:40:03,880 - INFO - Configured TensorFlow to use CPU with optimized thread settings.
2025-01-30 00:40:03,880 - INFO - Loading data from: BAT.csv
2025-01-30 00:40:04,173 - INFO - Data columns after renaming: ['Date', 'Open', 'High', 'Low', 'Close', 'Volume']
2025-01-30 00:40:04,179 - INFO - Data loaded and sorted successfully.
2025-01-30 00:40:04,179 - INFO - Calculating technical indicators...
2025-01-30 00:40:04,193 - INFO - Technical indicators calculated successfully.
2025-01-30 00:40:04,197 - INFO - Starting parallel feature engineering with 10 workers...
2025-01-30 00:40:06,772 - INFO - Parallel feature engineering completed.
2025-01-30 00:40:06,812 - INFO - Scaled training features shape: (14134, 15, 17)
2025-01-30 00:40:06,813 - INFO - Scaled validation features shape: (3028, 15, 17)
2025-01-30 00:40:06,813 - INFO - Scaled testing features shape: (3030, 15, 17)
2025-01-30 00:40:06,813 - INFO - Scaled training target shape: (14134,)
2025-01-30 00:40:06,813 - INFO - Scaled validation target shape: (3028,)
2025-01-30 00:40:06,813 - INFO - Scaled testing target shape: (3030,)
2025-01-30 00:40:06,813 - INFO - Starting LSTM hyperparameter optimization with Optuna using 10 parallel trials...
2025-01-30 00:56:53,436 - INFO - ===== Resource Statistics =====
2025-01-30 00:56:53,436 - INFO - Physical CPU Cores: 10
2025-01-30 00:56:53,436 - INFO - Logical CPU Cores: 12
2025-01-30 00:56:53,437 - INFO - CPU Usage per Core: [1.0, 1.0, 5.1, 1.0, 0.0, 0.0, 2.0, 1.0, 0.0, 0.0, 0.0, 0.0]%
2025-01-30 00:56:53,437 - INFO - No GPUs detected.
2025-01-30 00:56:53,437 - INFO - =================================
2025-01-30 00:56:53,437 - INFO - Configured TensorFlow to use CPU with optimized thread settings.
2025-01-30 00:56:53,437 - INFO - Loading data from: BAT.csv
2025-01-30 00:56:53,730 - INFO - Data columns after renaming: ['Date', 'Open', 'High', 'Low', 'Close', 'Volume']
2025-01-30 00:56:53,736 - INFO - Data loaded and sorted successfully.
2025-01-30 00:56:53,736 - INFO - Calculating technical indicators...
2025-01-30 00:56:53,753 - INFO - Technical indicators calculated successfully.
2025-01-30 00:56:53,758 - INFO - Starting parallel feature engineering with 10 workers...
2025-01-30 00:56:56,241 - INFO - Parallel feature engineering completed.
2025-01-30 00:56:56,285 - INFO - Scaled training features shape: (14134, 15, 17)
2025-01-30 00:56:56,285 - INFO - Scaled validation features shape: (3028, 15, 17)
2025-01-30 00:56:56,285 - INFO - Scaled testing features shape: (3030, 15, 17)
2025-01-30 00:56:56,285 - INFO - Scaled training target shape: (14134,)
2025-01-30 00:56:56,285 - INFO - Scaled validation target shape: (3028,)
2025-01-30 00:56:56,285 - INFO - Scaled testing target shape: (3030,)
2025-01-30 00:56:56,285 - INFO - Starting LSTM hyperparameter optimization with Optuna using 10 parallel trials...

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src/Machine-Learning/LSTM-python/src/LSTMDQN.py
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