def rwmd(self, tf_doc1, tf_doc2):
rwmdistance = 0
sumtf1 = sum(tf_doc1.values())
for word1 in tf_doc1:
dst = []
for word2 in tf_doc2:
dst.append(euclidean(self.emb[word1], self.emb[word2]))
rwmdistance += np.min(dst)*tf_doc1[word1]/sumtf1
return rwmdistance
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