SIENTIAPDE-1478

Enhance MLFlow logging and add skip_transform option in MLFlowRepository

- Updated logging in mlflow.py to output processed input data as CSV.
- Introduced skip_transform parameter in MLFlowRepository to conditionally bypass data transformation.
- Improved logging in model_repository.py to display data in a more structured format (to_dict) for predictions and transformations.

laborious/activities/mlflow.py

@@ -157,8 +157,8 @@ class MLFlow(SientiaMonitoring):
         data.columns.name = None
         data.index.name = None
 
-        self.debug('Processed input data:', metadata)
-        self.debug(data.head(5).to_string(), metadata)
+        self.debug(f'Processed input data: \n {data.to_csv()}', metadata)
+
 
         # Request transformation from MLFlow model
         response_data = await self.model_monitoring_repository.transform(