Files
sientia-dataops-model-manager/tests/sientia/test_exceptions.py
vitor-aignosi 526edcb50e feat: update training workflow and repository management
- Replaced synchronous MinIO repository calls with asynchronous counterparts in the Training class for improved performance.
- Enhanced logging throughout the training process to provide better insights into model metadata loading, parameter validation, and training execution.
- Updated the train_test_split function to enforce DataFrame input type, ensuring consistency in data handling.
- Removed the deprecated model_repository.py file to streamline the codebase.
- Adjusted cleanup schedule logic to improve error handling and logging during schedule reconciliation.
- Updated tests to reflect changes in the training workflow and repository interactions.
2026-04-09 12:09:52 -03:00

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Python

"""Unit tests for custom exception aliases."""
from mlflow.exceptions import MlflowException
from model_manager.sientia.exceptions import SientiaMlException
def test_sientia_ml_exception_is_mlflow_exception_alias():
assert SientiaMlException is MlflowException