gensim.models.Word2Vec.similarity¶

Word2Vec.similarity(w1, w2)[source]¶

Compute cosine similarity between two words.

Example:

>>> trained_model.similarity('woman', 'man')
0.73723527

>>> trained_model.similarity('woman', 'woman')
1.0