rdfs:labelOther 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.
callsCalls(2)ex:update_method_else_branchex:weighted_updateTimeline 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/f6d6e5e8-2e81-4b5b-8ad1-a93a9616694creturn 1 - accuracy # Convert RMSE to accuracy-like metric # Load the test interactions interactions = np.load("interactions.npy") # Define the reader and load the dataset reader = Reader(rating_scale=(1, 5)) # Adjust the rating sca…
doc:beam/41b29f03-8784-49da-b656-9a1b5c8d5506# Test the model true_ratings = [interaction[2] for interaction in test_interactions] predicted_ratings = [model.predict(user_id, item_id).est for user_id, item_id, _, _ in test_interactions] # Calculate accuracy ac…
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