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.

tests/utils/test_connectors_config.py

@@ -1,9 +1,11 @@
 from os import environ
+from unittest.mock import patch
 
 from model_manager.utils.connectors_config import (
     build_minio_config,
     build_mlflow_config,
     build_mongodb_config,
+    build_plugin_store_config,
     build_postgres_config,
 )
 
@@ -141,6 +143,13 @@ def test_build_minio_config_with_env_vars():
     assert config['read_timeout'] == 120
 
 
+def test_build_plugin_store_config_cache_ttl_seconds():
+    """STORE_CACHE_TTL_SECONDS is parsed to int when set."""
+    with patch.dict(environ, {'STORE_CACHE_TTL_SECONDS': '7200'}, clear=False):
+        cfg = build_plugin_store_config()
+    assert cfg['cache_ttl_seconds'] == 7200
+
+
 def test_build_minio_config_with_defaults():
     # Arrange
     # Clear any existing env vars