feat: enhance training model functionality and reporting

- Added `evidently` to requirements for improved model evaluation.
- Introduced `TrainModelResult` class with a `to_dict` method for better result handling.
- Updated `train_model` method to return a comprehensive training result, including run details.
- Enhanced `cleanup_run_directory` method in `DataManagerRepository` for improved resource management.
- Adjusted type hints in `TrainModel` for clarity and consistency.

model_manager/utils/models/train_model_result.py

@@ -1,4 +1,5 @@
 from dataclasses import dataclass
+from typing import Any
 
 import pandas as pd
 
@@ -50,3 +51,9 @@ 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__