Python中的VisibleDeprecationWarning

本文介绍了Python中的VisibleDeprecationWarning的处理方法，对大家解决问题具有一定的参考价值，需要的朋友们下面随着小编来一起学习吧！

问题描述

我是Python的新手，一直在尝试找出很多单词.我按如下方式使用vectorizer.fit_transform函数

I am new to Python and have been trying to find out bag of words. I used vectorizer.fit_transform function as follows

vectorizer = CountVectorizer(vocabulary=set_of_words, tokenizer=nltk.word_tokenize)
bag_of_words = vectorizer.fit_transform(doc).toarray().astype(np.float64)

其中doc包含要提取其词袋的文本.

where doc contains the text whose bag of words is to be extracted.

并且我得到如下警告:/usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2499:此处VisibleDeprecationWarning: rank is deprecated; use the ndim attribute or function instead. To find the rank of a matrix see numpy. linalg.matrix_rank`. VisibleDeprecationWarning)

and i get a warning as follows:/usr/local/lib/python2.7/dist-packages/numpy/core/fromnumeric.py:2499: hereVisibleDeprecationWarning:rankis deprecated; use thendimattribute or function instead. To find the rank of a matrix seenumpy.linalg.matrix_rank`. VisibleDeprecationWarning)

在显示矢量化器时，我会得到类似的东西

On displaying vectorizer I get something like this

CountVectorizer(analyzer=u'word', binary=False, charset=None,
    charset_error=None, decode_error=u'strict',
    dtype=<type 'numpy.int64'>, encoding=u'utf-8', input=u'content',
    lowercase=True, max_df=1.0, max_features=None, min_df=1,
    ngram_range=(1, 1), preprocessor=None, stop_words=None,
    strip_accents=None, token_pattern=u'(?u)\\b\\w\\w+\\b',
    tokenizer=<function word_tokenize at 0xafbc6f4>,
    vocabulary=[u'dissolution', u'comparatively', u'desirable', u'four', u'obstruction', u'nursery', u'perverted', u'appetite', u'repress', u'consider'])

VisibleDeprecationWarning

问题描述

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