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Restructure documentation, validate metadata removal, consolidate assets
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@@ -312,7 +312,7 @@ def cmd_train(pattern: str, model_path: str, schema: FeatureSchema = "v2") -> No
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from sklearn.metrics import average_precision_score, roc_auc_score
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# keep the feature vector, not the record: a parsed scan record is an order of
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# magnitude larger than the row it collapses to, and the corpus is ~5-digit.
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# magnitude larger than the row it collapses to.
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labeled: dict[str, tuple[list[float], int, str]] = {}
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missing_hash_index = 0
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for r in iter_records(pattern):
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