Python examples

Demo scripts for the hypercube-cascade API. They call only the installed package.

Script	What it shows
`synthetic_classification.py`	Multi-class length-N fields → `fit` → train / test accuracy

How to run

These files live in the GitHub repository. They are not part of pip install — use the Quick start if you only want a snippet.

From a clone of HypercubeCascade (repository root), after installing the package:

pip install hypercube-cascade
# or from this tree:  pip install .
python python/examples/synthetic_classification.py

Not the C++ demos (cascade_synth, cascade_mnist, cascade_raman) or the study write-ups. Those live under examples/.
Not automated tests. Package tests are tests/test_basic.py.
Not hard tasks. Synthetic multi-class fields are easy onboarding so the map API is obvious; do not cite their metrics as research results.