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def inner_product_rank(self, vecs, threshold=0.5): | |
sims_mat = np.dot(vecs, vecs.transpose()) | |
sims_mat = sims_mat - threshold | |
sims_mat[sims_mat<0] = 0 | |
ranks = np.sum(sims_mat, axis=0) | |
return ranks | |
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