python错误设置一个带序列的数组元素

Question

我试图在scikit-learn中探索这个例子的不同分类器 网站http://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html。但是，下面的代码产生了一个错误：ValueError：使用序列设置数组元素。

from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
import tensorflow.contrib.learn as skflow

data = ["I so handsome. I just broke the mirror!","I am a normal guy."]
label = np.array([0,1])

#CountVectoriser
count_vect = CountVectorizer()
X_train_counts = count_vect.fit_transform(data)

#TfidfTransformer
tfidf_transformer = TfidfTransformer()
X_train_tfidf = tfidf_transformer.fit_transform(X_train_counts)

#Classifier
clf = skflow.TensorFlowLinearClassifier(n_classes=2)
clf.fit(X_train_tfidf, label)

Answer 1

X_train_tfidf不会将CSR矩阵作为输入处理，您可以按照that issue中的进度进行操作。

您现在可以做的是将clf.fit()转换为numpy矩阵，然后再将其转换为clf.fit(X_train_tfidf.toarray(), label) ：

CREATE FULLTEXT INDEX idx_name_ft ON cities  (`name`);