Hashing with HashingVectorizer

[imsanjoykb]

from sklearn.feature_extraction.text import HashingVectorizer

list of text documents

text = ["The quick brown fox jumped over the lazy dog."]

create the transform

vectorizer = HashingVectorizer(n_features=20)

encode document

vector = vectorizer.transform(text)

summarize encoded vector

print(vector.shape)
print(vector.toarray())