wtberry · June 23, 2019 22:29
diff --git a/NameClassifier_CountVectorizer.py b/NameClassifier_CountVectorizer.py
 from sklearn.feature_extraction.text import CountVectorizer

 # Initialize and fit CountVectorizer with given text documents
 vectorizer = CountVectorizer().fit(df['name'])

 # use the vectorizer to transform the document into word count vectors (Sparse)
 word_mat = vectorizer.transform(df['name'])
	from sklearn.feature_extraction.text import CountVectorizer

	# Initialize and fit CountVectorizer with given text documents
	vectorizer = CountVectorizer().fit(df['name'])

	# use the vectorizer to transform the document into word count vectors (Sparse)
	word_mat = vectorizer.transform(df['name'])