# Evidence: From NumPy to jax.numpy

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

## Evidence required

Keep the fitted mean/scale, hand-derived training values, NumPy comparison, constant-feature test, and together-versus-separate new-batch results. Explain why re-fitting on each inference batch changes the problem.

- Command: `python3 phases/01-arrays/01-from-numpy-to-jax-numpy/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