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
377 B
JSON
15 lines
377 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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"source_table_name": "laborious_data",
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"target_table_name": "drift_metrics",
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"interval": 60,
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"drift_metrics": ["kolmogorov_smirnov", "jensen_shannon", "wasserstein"],
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"chunk_period": "min",
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"model_config": {
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"target": "sensor_1"
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}
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}
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