From repository root:
pip install -r requirements.txt
cd ml-pipeline
Run full pipeline rebuild:
dvc repro
Push artifacts to configured remote (optional):
dvc push
Verify outputs generated:
ls -la data/processed/ # check train/test splits
ls -la models/ # check model.pkl
ls -la reports/ # check evaluation.json
Pipeline pushes to SeaweedFS at http://localhost:8333 bucket dvc-storage (pre-configured in .dvc/config).