95b8e2a603f66cc3091e3266a717c0f206be3e95,FeatureSelection.py,,,#,34

Before Change

//tf-idf 
tfidfV = TfidfTransformer()
train_tfidf = tfidfV.fit_transform(train_count)
train_tfidf.shape

//get train data feature names 
print(train_tfidf.A[:10])

After Change

train_count = countV.fit_transform(DataPrep.train_news["Statement"].values)

print(countV)
print(train_count)

//print training doc term matrix
//we have matrix of size of (10240, 12196) by calling below
def get_countVectorizer_stats():

Instances