Saving wordVect gave error,
from sklearn.feature_extraction.text import CountVectorizer
corpus = [
'This is the first document.',
'This document is the second document.',
'And this is the third one.',
'Is this the first document?',
]
vectorizer = CountVectorizer(ngram_range=()
X = vectorizer.fit_transform(corpus)
# Save The Vector
np.savetxt('logvect.csv', X, delimiter=',')
Got Error
----> 1 np.savetxt('logvect.csv', X, delimiter=',')
1375 if X.ndim == 0 or X.ndim > 2:
1376 raise ValueError(
-> 1377 "Expected 1D or 2D array, got %dD array instead" % X.ndim)
1378 elif X.ndim == 1:
1379 # Common case -- 1d array of numbers
ValueError: Expected 1D or 2D array, got 0D array instead
X.toarray() # Was missing
np.savetxt('logvect.csv', X.toarray(), delimiter=',')