1#!/usr/bin/env python2"""Step 04 — Model A hedonic asking prices (H1, H4) + grouped CV."""3import json4from ucml import hedonic5df = hedonic.load()6r = hedonic.fit_all(df)7print(json.dumps(r["tests"], indent=2, default=float))8print(json.dumps(hedonic.grouped_cv(df), indent=2))9