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.
12 lines
371 B
JSON
12 lines
371 B
JSON
{
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"metadata": {
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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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"workflow_name": "predictions_batch"
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},
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"query": "SELECT timestamp, variable, value, created_at FROM sientia_data.laborious_data WHERE model_id = {{MODEL_ID}}",
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"model_name": "test_model",
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"datetime_columns": ["timestamp", "created_at"]
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}
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