Light1YT
347203dfda
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Upgrade the §25.3 cannibalization index from a same-class-competitor proxy to true own-portfolio overlap: score the recommended candidate segment against the developer's own portfolio (get_own_portfolio, #1169 PR1) across axes — audience/class (ordinal distance), price ₽/м² (interval overlap), unit-mix (L1 similarity), timing (half-life decay) — geo-weighted by haversine proximity to the parcel, aggregated by geo-weighted soft-max (the strongest nearby cannibalizer dominates, not a diluting mean). Empty portfolio -> labelled proxy fallback, confidence forced low, never presented as the true index. Pure scoring fns unit-tested without DB; None-not-0 on missing axes; thin/ only-current portfolio -> low confidence + §26 note; deterministic (sorted tie-breaks, no RNG). class+price+geo active now; unit-mix+timing plumbed via optional params for a follow-up that wires them from the orchestrator horizon. ruff + mypy clean; 151 special-index tests pass (964 forecasting dir, no regr). Refs #1169 |
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| .. | ||
| __init__.py | ||
| affordability.py | ||
| confidence_engine.py | ||
| demand_normalization.py | ||
| demand_supply_forecast.py | ||
| macro_coefficient.py | ||
| macro_series.py | ||
| normalize.py | ||
| orchestrator.py | ||
| product_scoring.py | ||
| rate_sensitivity.py | ||
| recommendation.py | ||
| regression.py | ||
| report.py | ||
| report_assembler.py | ||
| sales_series.py | ||
| scenarios.py | ||
| special_indices.py | ||
| what_to_build.py | ||