Refactor ModelMetrics to utilize DriftAnalysis for drift detection - Replaced ModelAnalysis with DriftAnalysis in the ModelMetrics class to enhance drift detection capabilities. - Updated method signatures and documentation to reflect the changes in target_name and return values. - Adjusted data handling to ensure compatibility with the new analysis methods and improved clarity in the drift metrics dataframe preparation.
15 lines
374 B
JSON
15 lines
374 B
JSON
{
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"schedule_name": "test-schedule",
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"model_name": "test_model",
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"model_id": "{{MODEL_ID}}",
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"schema": "sientia_data",
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"predictions_table_name": "predictions",
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"data_table_name": "laborious_data",
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"target_table_name": "simple_metrics",
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"interval_minutes": 60,
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"metrics": ["rmse", "mse", "mae", "r2"],
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"model_config": {
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"target": "sensor_target"
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}
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}
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