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sientia-dataops-laborious_t…/e2e/scenario_inputs/drift_base.json
vitor-aignosi 10c7e292b9 SIENTIAPDE-1646
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.
2026-05-08 16:39:12 -03:00

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{
"schedule_name": "test-schedule",
"model_name": "test_model",
"model_id": "{{MODEL_ID}}",
"schema": "sientia_data",
"source_table_name": "laborious_data",
"target_table_name": "drift_metrics",
"interval": 60,
"drift_metrics": ["kolmogorov_smirnov", "jensen_shannon", "wasserstein"],
"chunk_period": "min",
"model_config": {
"target": "sensor_1"
}
}