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29 changed files with 250 additions and 126 deletions
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@ -4,7 +4,7 @@ Stratified by property type and postcode sector, with IRLS Huber regression,
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hierarchical shrinkage (sector → district → area → national → hedonic),
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and KD-tree spatial smoothing for sparse sectors.
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Output: price_index.parquet — sector x type_group x year -> log_index
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Output: price_index.parquet (sector x type_group x year -> log_index)
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"""
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import argparse
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@ -23,7 +23,7 @@ ESTIMATE_COLUMNS = ["Estimated current price", "Est. price per sqm"]
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# Natural join key from estimates back onto properties: postcode plus the
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# coalesced register/EPC address. This is unique and non-null on the deduped
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# dwelling universe (see property_base._dedupe_collapsed_properties), so it maps
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# estimates 1:1 onto properties regardless of row order — estimates are computed
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# estimates 1:1 onto properties regardless of row order. Estimates are computed
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# from a separate price_inputs.parquet, so a positional key would not line up.
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JOIN_ADDRESS = "_join_address"
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JOIN_KEYS = ["Postcode", JOIN_ADDRESS]
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