CODEWITHSUNDEEP
pythonnumpyscikit-learntensorflowskflow
edwin
edwin

Reputation: 1252

python error setting an array element with a sequence

I trying to explore different classifier for this example in scikit-learn website http://scikit-learn.org/stable/tutorial/text_analytics/working_with_text_data.html. However, the code below produced an error: ValueError: setting an array element with a sequence.

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)

Upvotes: 1

Views: 611

Answers (1)

Olivier Moindrot
Olivier Moindrot

Reputation: 28198

The TensorFlowLinearClassifier does not handle CSR matrix as input, you can follow the progress in that issue.

What you can do for now is convert X_train_tfidf to a numpy matrix before feeding it to clf.fit():

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

Upvotes: 2

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