python 用序列设置数组元素时出错

Question

我尝试在 scikit-learn 中探索此示例的不同分类器网站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

TensorFlowLinearClassifier 不处理 CSR 矩阵作为输入，您可以按照 that issue 中的进度进行操作。 .

<小时/>

您现在可以做的是将 X_train_tfidf 转换为 numpy 矩阵，然后将其输入到 clf.fit():

clf.fit(X_train_tfidf.toarray(), label)