aa81d4f3d0
- Fix CCI indicator to use HLC prices instead of close only - Parse datetime column when loading enriched CSV - Strip timezone from annotation timestamps - Fix TA-Lib pattern names (CDL3WHITESOLDIERS, CDL3BLACKCROWS) - Exclude programmatic label columns from training features - Fix classification report to handle missing classes - Update MLflow tracking to use localhost:5000 - Grant PostgreSQL permissions to ml_user Pipeline now runs successfully end-to-end: - Feature engineering: 2543 rows, 31 columns - Annotation ingestion: 286 samples - Training: 89.47% test accuracy with Random Forest
15 lines
240 B
YAML
15 lines
240 B
YAML
channels:
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- conda-forge
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dependencies:
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- python=3.13.5
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- pip
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- pip:
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- mlflow==3.9.0
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- cloudpickle==3.1.2
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- numpy==2.4.2
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- pandas==2.3.3
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- psutil==7.2.2
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- pyarrow==22.0.0
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- scikit-learn==1.8.0
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- scipy==1.17.0
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name: mlflow-env
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