#!/usr/bin/env python
"""Step 04 — Model A hedonic asking prices (H1, H4) + grouped CV."""
import json
from ucml import hedonic
df = hedonic.load()
r = hedonic.fit_all(df)
print(json.dumps(r["tests"], indent=2, default=float))
print(json.dumps(hedonic.grouped_cv(df), indent=2))