Enhance MLFlow reference data handling and testing - Updated the artifact handling in MLFlow to prioritize 'retrain_input.csv' over 'train_data.csv' when resolving reference data. - Introduced new methods for resolving artifact names and locating downloaded CSV files. - Modified the `get_reference_data` method to improve artifact resolution and error handling. - Expanded unit tests to cover scenarios for missing artifacts and preference logic between retrain and train data CSVs.
21 KiB
21 KiB