f6e2d3c0ca
- EIF: Extended Isolation Forest via isotree (fallback to sklearn IF) - Benford's Law deviation feature on inter-request timing - Lag-1 autocorrelation feature for cadence analysis - Validation gate: reject model if val_anomaly_rate > 20% - Feature pruning: remove variance < 1e-6 features before training - Quantile drift: replace N(μ,σ) synthetic with quantile interpolation - Thread safety: Lock for _service_healthy/_consecutive_failures - Score normalization: inverted to [0,1] where 1=most anomalous SQL: add lag1_autocorrelation + benford_deviation to view_thesis_features_1h Tests: 10 new test functions covering all improvements Integration: verify_mvs.py checks new thesis feature columns Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
10 lines
172 B
Plaintext
10 lines
172 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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pyyaml>=6.0
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ja4-common @ file:///app/shared/ja4_common
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