Log lightweight entity_df metadata to MLflow.
(self, entity_df, start_date=None, end_date=None)
| 320 | return None |
| 321 | |
| 322 | def _log_entity_df_metadata(self, entity_df, start_date=None, end_date=None): |
| 323 | """Log lightweight entity_df metadata to MLflow.""" |
| 324 | try: |
| 325 | if self.mlflow is not None: |
| 326 | self.mlflow.log_entity_df_metadata(entity_df, start_date, end_date) |
| 327 | except Exception as e: |
| 328 | _logger.debug("Failed to log entity_df metadata to MLflow: %s", e) |
| 329 | |
| 330 | def _log_entity_df_artifact(self, entity_df): |
| 331 | """Upload entity DataFrame as a parquet artifact to MLflow.""" |
no test coverage detected