gensimのmost_similarの引数に直接数値を入れたい場合

Question

gensimを使ってコサイン類似度が高い上位単語を出力する際の質問です。

model.wv.most_similar(["単語"])

ここでmost_similar関数の引数の直接ベクトルを入れたい場合、どのように記載したらいいでしょうか？

a = [0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1,0.1]
    model.wv.most_similar(a)

このように書いてもだめでした。

Answer 1

 model.wv.most_similar([may_country_vec], [], 5)

• may_country_vecにベクトルを入れる
• 5は類似度が高い５個の単語を表示

Answer 2

https://tedboy.github.io/nlps/generated/generated/gensim.models.Word2Vec.html は見てみましたか?

similar_by_vector ではないでしょうか。