(a, b)
| 186 | |
| 187 | |
| 188 | def numpy_cosine_similarity_distance(a, b): |
| 189 | similarity = np.dot(a, b) / (norm(a) * norm(b)) |
| 190 | distance = 1.0 - similarity.mean() |
| 191 | |
| 192 | return distance |
| 193 | |
| 194 | |
| 195 | def check_if_dicts_are_equal(dict1, dict2): |
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