Data Science, Machine Learning.
inputs_start_index, threshold=.8): cosimilarities = cosine_similarity(sources, targets) for i, cosimilarity in enumerate(cosimilarities): cosimilarity = cosimilarity.flatten() # Find the best match by using argsort()[-1] target_index = cosimilarity.argsort()[-1] source_index = inputs_start_index +