AttributeError:模块'gensim.models.word2vec'没有属性'load' [英] AttributeError: module 'gensim.models.word2vec' has no attribute 'load'

问题描述

我从桌面上导入一个文本文件，以便在jupyter笔记本上使用gensim模型.但是，它返回:

I import a text file from the desktop to do with gensim model on jupyter notebook. However, it return that:

"AttributeError跟踪(最近一次呼叫最近)在----> 1个模型= word2vec.load(r'C:\ Users \ qlm \ Desktop \ globalwarming.txt')

"AttributeError Traceback (most recent call last) in ----> 1 model = word2vec.load(r'C:\Users\qlm\Desktop\globalwarming.txt')

AttributeError:模块'gensim.models.word2vec'没有属性加载""

AttributeError: module 'gensim.models.word2vec' has no attribute 'load'"

如何解决此问题

import numpy as np
import pandas as pd
import gensim
from matplotlib import pyplot as plt
from gensim.models import word2vec
from collections import defaultdict
from sklearn.cluster import KMeans

model = word2vec.Text8Corpus(r'C:\Users\qlm\Desktop\globalwarming.txt')
model = word2vec.load(r'C:\Users\qlm\Desktop\globalwarming.txt')

推荐答案

有一个名为 word2vec 的模块，其内部有一个名为 Word2Vec 的类，因为Word2Vec 类在 <您可以像以前尝试的那样导入 gensim.models 的code> __ init __.py :

There is a module named word2vec and inside it a class named Word2Vec, since the Word2Vec class is imported in __init__.py of gensim.models you can import it as you tried before:

from gensim.models import Word2Vec

然后，您将可以访问加载方法.

您也可以使用完整的名称空间.

You can also use the full namespace too.

所以:

# Will work as long as models.__init__ keep it available
from gensim.models import Word2Vec

但是:

# Will always work as long as the namespace is not altered
from gensim.models.word2vec import Word2Vec

我个人更喜欢第二选择.

I personally prefer the second choice.

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