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.
13 lines
382 B
JSON
13 lines
382 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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"query": "SELECT timestamp, variable, value, created_at FROM sientia_data.laborious_data WHERE model_id = {{MODEL_ID}}",
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"schema": "sientia_data",
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"table_name": "log_retrain",
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"datetime_columns": ["timestamp", "created_at"],
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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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