feat: enhance training and experiment tracking functionality

- Updated `Activities` class to improve garbage collection handling.
- Enhanced error messaging in `ExperimentTracking` for better clarity on update failures.
- Refactored `Training` class to streamline exception handling and improve type hints.
- Introduced new methods in `TrainModelParams` for better handling of experiment run IDs and model metadata.
- Added functionality to extract model equations in `DataManagerRepository` for linear regression models.

model_manager/utils/models/train_model_result.py

@@ -51,9 +51,3 @@ class TrainModelResult:
     test_data_path: str | None = None
 
     run_dir: str | None = None
-
-    def to_dict(self) -> dict[str, Any]:
-        """
-        Convert TrainModelResult to a dictionary.
-        """
-        return self.__dict__