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SIENTIAPDE-1646

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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.
This commit is contained in:
vitor-aignosi
2026-05-08 16:39:12 -03:00
parent e6018af23f
commit 10c7e292b9
29 changed files with 843 additions and 1266 deletions
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e2e/scenario_inputs/drift_base.json
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@@ -2,9 +2,9 @@
"schedule_name": "test-schedule",
"model_name": "test_model",
"model_id": "{{MODEL_ID}}",
"schema": "predictions_schema",
"schema": "sientia_data",
"source_table_name": "laborious_data",
"target_table_name": "drift",
"target_table_name": "drift_metrics",
"interval": 60,
"drift_metrics": ["kolmogorov_smirnov", "jensen_shannon", "wasserstein"],
"chunk_period": "min",