SIENTIAPDE-1646

Refactor ModelMetrics to utilize DriftAnalysis for drift detection

- Replaced ModelAnalysis with DriftAnalysis in the ModelMetrics class to enhance drift detection capabilities.
- Updated method signatures and documentation to reflect the changes in target_name and return values.
- Adjusted data handling to ensure compatibility with the new analysis methods and improved clarity in the drift metrics dataframe preparation.

e2e/test_child_workflows_e2e.py

@@ -26,7 +26,7 @@ async def test_format_and_export_prediction_default_path_e2e(
     client = temporal_test_env.client
     model_id = 401
     with postgres_engine.begin() as conn:
-        conn.execute(text(f'DELETE FROM predictions_schema.predictions WHERE model_id = {model_id}'))
+        conn.execute(text(f'DELETE FROM sientia_data.predictions WHERE model_id = {model_id}'))
 
     metadata = {
         'metadata': {
@@ -44,7 +44,7 @@ async def test_format_and_export_prediction_default_path_e2e(
         'timestamp': '2024-01-01 12:00:00+00:00',
         'model_id': model_id,
         'model_name': 'test_model',
-        'schema': 'predictions_schema',
+        'schema': 'sientia_data',
         'table_name': 'predictions',
         'transform_table_name': 'transformed_data',
         'comment': 'e2e child workflow default path',
@@ -64,7 +64,7 @@ async def test_format_and_export_prediction_default_path_e2e(
         row = conn.execute(
             text(
                 f'SELECT prediction, prediction_confidence, prediction_status, comments '
-                f'FROM predictions_schema.predictions WHERE model_id = {model_id}'
+                f'FROM sientia_data.predictions WHERE model_id = {model_id}'
             )
         ).fetchone()
     assert row is not None