# Evidence: Track experiments and lineage with MLflow

Copy this template into your own portfolio and fill it after running your modified exercise.

## Evidence required

Keep both MLflow run IDs, source/data hashes, complete loss histories, the selection metric and predictions independently recomputed from the downloaded artifact.

- Command: `python3 phases/06-recovery/06-track-experiments-and-lineage-with-mlflow/code/main.py`
- Working directory: repository root
- Python / JAX / NumPy versions: 
- Hardware and device: 
- My prediction before running: 
- My change to the exercise: 
- Exit code and meaningful output: 
- Why the result supports or contradicts my prediction: 
- Checkpoint result: 
- Artifact link or saved filename: 
- Portfolio status: saved in local workspace