Gensim示例，TypeError:str和int之间的错误

问题描述

运行以下代码时.这个Python 3.6，Jupyter中最新的Gensim库

When running the below code. this Python 3.6, latest Gensim library in Jupyter

for model in models:
       print(str(model))
       pprint(model.docvecs.most_similar(positive=["Machine learning"], topn=20))

[1]: https://github.com/RaRe-Technologies/gensim/blob/develop/docs/notebooks/doc2vec-wikipedia.ipynb

推荐答案

string= "machine learning".split()

doc_vector = model.infer_vector(string)
out= model.docvecs.most_similar([doc_vector])

由于使用的是较新的版本，因此我不确定100％，但是我认为问题与most_like函数期望在功能空间中映射的字符串而不是原始字符串有关.

I'm not sure 100% since I'm using a more recent release, but I think that the issue is connected to the fact that the most_similar function is expecting a string mapped in the feature space and not the raw string.

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