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Weighted Scores has 10 facts recorded in Dontopedia across 2 references, with 2 live disagreements.
Mostly:combines(2), uses(2), represents final output(1)
representsFinalOutputisComputedAfterappliesFormulausedByOther subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. “X motherOf this subject” — and answer questions the forward facts can't. Grouped by predicate.
computesComputes(1)ex:code-snippetderivedFromDerived From(1)ex:sorted_optionsformsConvexCombinationForms Convex Combination(1)ex:weightsTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/424105bf-6157-4437-85d8-d148da0857d2X = data.drop(columns=['relevance_score']) y = data['relevance_score'] # Split data into training and testing sets X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42) # Define preprocessing steps prep…
doc:beam/4138d5af-2f28-48bd-82f2-ede483c92f8c:param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define …
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