SIENTIAPDE-1712

Enhance README and Implement Drift Detection and Metrics Workflows

- Added new sections in README for Drift Workflow and Simple Metrics Workflow, detailing their execution flows and functionalities.
- Introduced `drift.py` for data drift detection, comparing current data against reference datasets.
- Added `simple_metrics.py` for calculating regression metrics (RMSE, MSE, MAE, R²).
- Updated `values.yaml` to include configuration for MinIO retention hours and offload threshold.
- Refactored `minio_dataframe_payload.py` to use the new offload threshold environment variable.
- Adjusted tests to reflect changes in environment variable handling for MinIO offload threshold.

laborious/utils/models/minio_dataframe_payload.py

@@ -31,7 +31,7 @@ _OBJECT_TIMESTAMP_PATTERN = re.compile(
 )
 
 OFFLOAD_THRESHOLD_BYTES = int(
-    float(getenv('SIENTIA_MINIO_OFFLOAD_THRESHOLD_BYTES', '1.5')) * 1024 * 1024
+    float(getenv('SIENTIA_MINIO_OFFLOAD_THRESHOLD_MEGABYTES', '1.5')) * 1024 * 1024
 )
 
 # Relative prefix used for storing offloaded training datasets in MinIO.