57cf6c3828
- TrafficAutoEncoder class: symmetric AE (n→64→32→16→32→64→n) with BatchNorm+ReLU - Trained alongside EIF on human_baseline, saved/loaded with model versioning - Score = per-sample MSE reconstruction error, combined with EIF via AE_WEIGHT (α=0.30) - AE latent space (16-dim) used for HDBSCAN clustering instead of raw features - Configurable: AE_WEIGHT, AE_EPOCHS, AE_LATENT_DIM, AE_LEARNING_RATE - Graceful fallback: if torch unavailable or AE fails, EIF-only scoring continues - ClickHouse: ae_recon_error column added to ml_all_scores - Tests: 5 new tests (AE train/score, encode latent, state dict save/load, weight combination) Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
11 lines
183 B
Plaintext
11 lines
183 B
Plaintext
clickhouse-connect==0.8.12
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pandas==2.2.3
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scikit-learn==1.6.1
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shap==0.47.2
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scipy>=1.14
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hdbscan>=0.8.38
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isotree>=0.6.1
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torch>=2.0
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pyyaml>=6.0
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ja4-common @ file:///app/shared/ja4_common
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