About
Open-source ML monitoring and observability. Detect data drift, model degradation, and evaluate model performance.
Features
- Data Drift Detection (feature-level statistical tests with configurable thresholds)
- Model Performance Dashboard (accuracy, precision, recall, F1, MAE, RMSE over time)
- Prediction Drift Analysis (target distribution shifts)
- HTML Report Generation (exportable, versionable, interactive visualizations)
- Jupyter Notebook Integration (inline plots and summary tables)
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