Breaking News: Grepper is joining You.com. Read the official announcement!

OneHotEncoder sklearn python

Jaime Rivas Dantart answered on November 10, 2021 Popularity 9/10 Helpfulness 8/10

answer OneHotEncoder sklearn python

related OneHotEncoder()

OneHotEncoder sklearn python

Comment

from sklearn.preprocessing import OneHotEncoder
>>> enc = OneHotEncoder(handle_unknown='ignore')
>>> X = [['Male', 1], ['Female', 3], ['Female', 2]]
>>> enc.fit(X)
OneHotEncoder(handle_unknown='ignore')
>>> enc.categories_
[array(['Female', 'Male'], dtype=object), array([1, 2, 3], dtype=object)]
>>> enc.transform([['Female', 1], ['Male', 4]]).toarray()
array([[1., 0., 1., 0., 0.],
       [0., 1., 0., 0., 0.]])
>>> enc.inverse_transform([[0, 1, 1, 0, 0], [0, 0, 0, 1, 0]])
array([['Male', 1],
       [None, 2]], dtype=object)
>>> enc.get_feature_names_out(['gender', 'group'])
array(['gender_Female', 'gender_Male', 'group_1', 'group_2', 'group_3'], ...)

Popularity 9/10 Helpfulness 8/10 Language python

Source: scikit-learn.org

Tags: python

Link to this answer
Share Copy Link

Contributed on May 03 2022

Jaime Rivas Dantart

0 Answers Avg Quality 2/10

Closely Related Answers

OneHotEncoder()

Comment

enc = OneHotEncoder()
enc.fit(df[["Temperature"]])
onehotlabels = enc.transform(df[["Temperature"]]).toarray()

Popularity 9/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: python py

Link to this answer
Share Copy Link

Contributed on Nov 10 2021

Confused Chamois

0 Answers Avg Quality 2/10

OneHotEncoder sklearn python

Contents

More Related Answers

OneHotEncoder sklearn python

Closely Related Answers

OneHotEncoder()

Grepper

Documentation

Social

Legal

Contact

Oops, You will need to install Grepper and log-in to perform this action.