Python 无法保存TF-IDF矢量器

Python 无法保存TF-IDF矢量器,python,machine-learning,pickle,tf-idf,joblib,Python,Machine Learning,Pickle,Tf Idf,Joblib,我正在研究多标签分类问题。我在保存TF-IDf verctorizer和同时使用pickle和joblib包的模型时遇到了这个问题 代码如下: vectorizer = TfidfVectorizer(min_df=0.00009, max_features=200000, smooth_idf=True, norm="l2", \ tokenizer = lambda x: x.split(), sublinear_tf=False, ngra

我正在研究多标签分类问题。我在保存TF-IDf verctorizer和同时使用pickle和joblib包的模型时遇到了这个问题

代码如下:

vectorizer = TfidfVectorizer(min_df=0.00009, max_features=200000, smooth_idf=True, norm="l2", \
                         tokenizer = lambda x: x.split(), sublinear_tf=False, ngram_range=(1,3))
x_train_multilabel = vectorizer.fit_transform(x_train)
x_test_multilabel = vectorizer.transform(x_test)

classifier = OneVsRestClassifier(SGDClassifier(loss='log', alpha=0.00001, penalty='l1'), n_jobs=-1)
classifier.fit(x_train_multilabel, y_train)
predictions = classifier.predict(x_test_multilabel)
保存TF-IDF矢量采集器时出现错误消息

有什么建议吗? 提前谢谢