Files
sientia-dataops-laborious-l…/e2e/scenario_inputs/simple_metrics_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

15 lines
374 B
JSON

{
"schedule_name": "test-schedule",
"model_name": "test_model",
"model_id": "{{MODEL_ID}}",
"schema": "sientia_data",
"predictions_table_name": "predictions",
"data_table_name": "laborious_data",
"target_table_name": "simple_metrics",
"interval_minutes": 60,
"metrics": ["rmse", "mse", "mae", "r2"],
"model_config": {
"target": "sensor_target"
}
}