CODEWITHSUNDEEP
pythonutf-8scikit-learn
user123
user123

Reputation: 5407

UnicodeDecodeError: 'utf8' codec can't decode byte 0xba in position 1266: invalid start byte

I am trying to train some text data using scikit. The same code is being used on other PC without any error but on my system it gives error:

File "/root/Desktop/karim/svn/questo-anso/v5/trials/classify/domain_detection_final/test_classifier_temp.py", line 130, in trainClassifier
    X_train = self.vectorizer.fit_transform(self.data_train.data)
  File "/root/Desktop/karim/software/scikit-learn-0.15.1/sklearn/feature_extraction/text.py", line 1270, in fit_transform
    X = super(TfidfVectorizer, self).fit_transform(raw_documents)
  File "/root/Desktop/karim/software/scikit-learn-0.15.1/sklearn/feature_extraction/text.py", line 808, in fit_transform
    vocabulary, X = self._count_vocab(raw_documents, self.fixed_vocabulary)
  File "/root/Desktop/karim/software/scikit-learn-0.15.1/sklearn/feature_extraction/text.py", line 741, in _count_vocab
    for feature in analyze(doc):
  File "/root/Desktop/karim/software/scikit-learn-0.15.1/sklearn/feature_extraction/text.py", line 233, in <lambda>
    tokenize(preprocess(self.decode(doc))), stop_words)
  File "/root/Desktop/karim/software/scikit-learn-0.15.1/sklearn/feature_extraction/text.py", line 111, in decode
    doc = doc.decode(self.encoding, self.decode_error)
  File "/usr/lib/python2.7/encodings/utf_8.py", line 16, in decode
    return codecs.utf_8_decode(input, errors, True)
UnicodeDecodeError: 'utf8' codec can't decode byte 0xba in position 1266: invalid start byte

I already checked similar threads but no helps.

UPDATE:

self.data_train = self.fetch_data(cache, subset='train')
if not os.path.exists(self.root_dir+"/autocreated/vectorizer.txt"):
                self.vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5,
                                                 stop_words='english')
                start_time = time()
                print("Transforming the dataset")
                X_train = self.vectorizer.fit_transform(self.data_train.data)  // Error is here
                joblib.dump(self.vectorizer, self.root_dir+"/autocreated/vectorizer.txt")

Upvotes: 4

Views: 15395

Answers (2)

user123
user123

Reputation: 5407

There was issue in dealing with the training data. One thing that solved my issue is ignoring error using decode_error='ignore', there might be some other solutions.

self.vectorizer = TfidfVectorizer(sublinear_tf=True, max_df=0.5,stop_words='english',decode_error='ignore')

Upvotes: 3

Burhan Khalid
Burhan Khalid

Reputation: 174708

Your file is actually encoded in ISO-8869-1, not UTF-8. You need to properly decode it before you can encode it again.

0xBA is the numero sign (º) in ISO-8869-1.

Upvotes: 7

Related Questions