feat: enhance training workflow with model metadata loading and refactor data handling

- Introduced a new activity to load model metadata from the model store.
- Refactored training logic to utilize new model metadata and improved parameter handling.
- Updated the `TrainModelParams` class to include additional fields for model configuration.
- Replaced deprecated utility functions with a custom train-test split implementation.
- Removed unused utility functions and cleaned up the data manager repository.
- Adjusted experiment tracking to include model-specific metadata in notifications.

tests/utils/models/test_train_model_params.py

@@ -24,7 +24,6 @@ def valid_train_params_dict():
         'train_size': 80,
         'shuffle': True,
         'experiment_run_id': 1,
-        'experiment_name': 'test_experiment',
         'removed_intervals': [],
         'model_name': 'Linear Regression',
         'degree': 1,
@@ -61,7 +60,6 @@ def test_train_model_params_from_dict_success(valid_train_params_dict):
     assert params.train_size == 80
     assert params.shuffle is True
     assert params.experiment_run_id == 1
-    assert params.experiment_name == 'test_experiment'
     assert params.removed_intervals == []
 
 
@@ -297,25 +295,14 @@ def test_validate_business_rules_whitespace_file_name(valid_train_params_dict):
         params.validate_business_rules()
 
 
-def test_validate_business_rules_empty_experiment_name(valid_train_params_dict):
-    """Test validate_business_rules raises error when experiment_name is empty."""
+def test_validate_business_rules_model_name_empty(valid_train_params_dict):
+    """Test validate_business_rules raises error when model_name is empty."""
     from model_manager.utils.models.train_model_params import TrainModelParams
 
-    valid_train_params_dict['experiment_name'] = ''
+    valid_train_params_dict['model_name'] = ''
     params = TrainModelParams.from_dict(valid_train_params_dict)
 
-    with pytest.raises(ValueError, match='experiment_name cannot be empty or whitespace'):
-        params.validate_business_rules()
-
-
-def test_validate_business_rules_whitespace_experiment_name(valid_train_params_dict):
-    """Test validate_business_rules raises error when experiment_name is whitespace."""
-    from model_manager.utils.models.train_model_params import TrainModelParams
-
-    valid_train_params_dict['experiment_name'] = '  \n  '
-    params = TrainModelParams.from_dict(valid_train_params_dict)
-
-    with pytest.raises(ValueError, match='experiment_name cannot be empty or whitespace'):
+    with pytest.raises(ValueError, match='model_name cannot be empty or whitespace'):
         params.validate_business_rules()
 
 

tests/utils/models/test_train_model_result.py

@@ -30,7 +30,6 @@ def sample_params():
         train_size=80,
         shuffle=True,
         experiment_run_id=123,
-        experiment_name='test-experiment',
         removed_intervals=[],
         model_name='Linear Regression',
         degree=1,