fix(ml): complete ML pipeline fixes and setup
- 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
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artifact_path: file:///home/homoludens/projekti/bitcon/candle_annotator/services/ml/mlruns/358560345319124639/models/m-045042d4be424487a3c0ff303d90466d/artifacts
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flavors:
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python_function:
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env:
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conda: conda.yaml
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virtualenv: python_env.yaml
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loader_module: mlflow.sklearn
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model_path: model.pkl
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predict_fn: predict
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python_version: 3.13.5
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sklearn:
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code: null
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pickled_model: model.pkl
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serialization_format: cloudpickle
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sklearn_version: 1.8.0
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skops_trusted_types: null
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mlflow_version: 3.9.0
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model_id: m-045042d4be424487a3c0ff303d90466d
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model_size_bytes: 793682
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model_uuid: m-045042d4be424487a3c0ff303d90466d
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prompts: null
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run_id: f1a0c7b223484d019564929940766c10
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utc_time_created: '2026-02-15 20:29:38.262687'
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