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  • urllib.error.URLError: urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed (_ssl.c:777) 解决办法

    from sklearn.naive_bayes import MultinomialNB
    from sklearn.datasets import fetch_20newsgroups
    def article_category():
        categories = ['alt.atheism','soc.religion.christian','comp.graphics','sci.med']
        twenty_train = fetch_20newsgroups(subset='train',categories=categories)
        tfidf_transformer = TfidfVectorizer()
        X_train_tfidf = tfidf_transformer.fit_transform(twenty_train.data)
        clf = MultinomialNB(alpha=1.0).fit(X_train_tfidf, twenty_train.target)
        docs_new = ['Chemical reaction', ' Intel CPU is good']
        X_new_tfidf = tfidf_transformer.transform(docs_new)
        predicted = clf.predict(X_new_tfidf)
        for doc, category in zip(docs_new,predicted):
            print('%r => %s' % (doc, twenty_train.target_names[category]))
    
    article_category()

    在运行上述代码时候,报了一个错误

    urllib.error.URLError: <urlopen error [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed 

    解决办法:

    from sklearn.naive_bayes import MultinomialNB
    from sklearn.datasets import fetch_20newsgroups
    import ssl
    ssl._create_default_https_context = ssl._create_unverified_context
    
    def article_category():
        categories = ['alt.atheism','soc.religion.christian','comp.graphics','sci.med']
        twenty_train = fetch_20newsgroups(subset='train',categories=categories)
        tfidf_transformer = TfidfVectorizer()
        X_train_tfidf = tfidf_transformer.fit_transform(twenty_train.data)
        clf = MultinomialNB(alpha=1.0).fit(X_train_tfidf, twenty_train.target)
        docs_new = ['Chemical reaction', ' Intel CPU is good']
        X_new_tfidf = tfidf_transformer.transform(docs_new)
        predicted = clf.predict(X_new_tfidf)
        for doc, category in zip(docs_new,predicted):
            print('%r => %s' % (doc, twenty_train.target_names[category]))
    
    article_category()

    这样就可以解决了,如果你想想完美输出上面代码结果还需要下载一个东西,如果你的电脑自动下载那估计没问题,如果手动下载把文件放入用户目录下面的

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  • 原文地址:https://www.cnblogs.com/liangliangzz/p/10254179.html
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