What is TargetEncoder and BinaryEncoder in sklearn category_encoders?What does ** (double star/asterisk) and * (star/asterisk) do for parameters?What are metaclasses in Python?What is the difference between @staticmethod and @classmethod?What does the “yield” keyword do?How do I return multiple values from a function?What does if __name__ == “__main__”: do?What is __init__.py for?Python progression path - From apprentice to guruWhat is the Python 3 equivalent of “python -m SimpleHTTPServer”Can sklearn random forest directly handle categorical features?
Do we know the situation in Britain before Sealion (summer 1940)?
Performance for simple code that converts a RGB tuple to hex string
Will Proving or Disproving of any of the following have effects on Chemistry in general?
Where does an unaligned creature's soul go after death?
If an object moving in a circle experiences centripetal force, then doesn't it also experience centrifugal force, because of Newton's third law?
How does IBM's 53-bit quantum computer compare to classical ones for cryptanalytic tasks?
What is the meaning of word 'crack' in chapter 33 of A Game of Thrones?
Where Does VDD+0.3V Input Limit Come From on IC chips?
Would Taiwan and China's dispute be solved if Taiwan gave up being the Republic of China?
Is the mass of paint relevant in rocket design?
How to deal with my team leader who keeps calling me about project updates even though I am on leave for personal reasons?
Is It Possible to Have Different Sea Levels, Eventually Causing New Landforms to Appear?
Find missing number in the transformation
Does wetting a beer glass change the foam characteristics?
Is it really necessary to have a four hour meeting in Sprint planning?
How does this circuit start up?
The quicker I go up, the sooner I’ll go down - Riddle
What is the need of methods like GET and POST in the HTTP protocol?
Is it true that, "just ten trading days represent 63 per cent of the returns of the past 50 years"?
Transforming 2D points on to a regular grid or lattice
Hilbert's hotel, why can't I repeat it infinitely many times?
What is the meaning of "heutig" in this sentence?
Do the villains know Batman has no superpowers?
Conditionally execute a command if a specific package is loaded
What is TargetEncoder and BinaryEncoder in sklearn category_encoders?
What does ** (double star/asterisk) and * (star/asterisk) do for parameters?What are metaclasses in Python?What is the difference between @staticmethod and @classmethod?What does the “yield” keyword do?How do I return multiple values from a function?What does if __name__ == “__main__”: do?What is __init__.py for?Python progression path - From apprentice to guruWhat is the Python 3 equivalent of “python -m SimpleHTTPServer”Can sklearn random forest directly handle categorical features?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I've been looking for a way to vectorize categorical variable and then I've come across category_encoders. It supports multiple ways to categorize.
I tried TargetEncoder and BinaryEncoder but the docs doesn't explain much about the working of it?
I really appreciate if anyone could explain how target encoder and binary encoder work and how they are different from one hot encoding?
python python-3.x scikit-learn categorical-data
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
add a comment
|
I've been looking for a way to vectorize categorical variable and then I've come across category_encoders. It supports multiple ways to categorize.
I tried TargetEncoder and BinaryEncoder but the docs doesn't explain much about the working of it?
I really appreciate if anyone could explain how target encoder and binary encoder work and how they are different from one hot encoding?
python python-3.x scikit-learn categorical-data
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
add a comment
|
I've been looking for a way to vectorize categorical variable and then I've come across category_encoders. It supports multiple ways to categorize.
I tried TargetEncoder and BinaryEncoder but the docs doesn't explain much about the working of it?
I really appreciate if anyone could explain how target encoder and binary encoder work and how they are different from one hot encoding?
python python-3.x scikit-learn categorical-data
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
I've been looking for a way to vectorize categorical variable and then I've come across category_encoders. It supports multiple ways to categorize.
I tried TargetEncoder and BinaryEncoder but the docs doesn't explain much about the working of it?
I really appreciate if anyone could explain how target encoder and binary encoder work and how they are different from one hot encoding?
python python-3.x scikit-learn categorical-data
python python-3.x scikit-learn categorical-data
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
asked Mar 28 at 15:58
user_6396user_6396
4561 gold badge2 silver badges21 bronze badges
4561 gold badge2 silver badges21 bronze badges
add a comment
|
add a comment
|
1 Answer
1
active
oldest
votes
Target encoding maps the categorical variable to the mean of the target variable. As it uses the target, steps must be taken to avoid overfitting (usually done with smoothing).
Binary encoding converts each integer into binary digits with each binary digit having its one column. It is essentially a form of feature hashing.
Both help with lowering the cardinality of categorical variables which helps improve some model performance, most notably with tree-based models.
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
add a comment
|
Your Answer
StackExchange.ifUsing("editor", function ()
StackExchange.using("externalEditor", function ()
StackExchange.using("snippets", function ()
StackExchange.snippets.init();
);
);
, "code-snippets");
StackExchange.ready(function()
var channelOptions =
tags: "".split(" "),
id: "1"
;
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function()
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled)
StackExchange.using("snippets", function()
createEditor();
);
else
createEditor();
);
function createEditor()
StackExchange.prepareEditor(
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader:
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/4.0/"u003ecc by-sa 4.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
,
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
);
);
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f55402010%2fwhat-is-targetencoder-and-binaryencoder-in-sklearn-category-encoders%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
Target encoding maps the categorical variable to the mean of the target variable. As it uses the target, steps must be taken to avoid overfitting (usually done with smoothing).
Binary encoding converts each integer into binary digits with each binary digit having its one column. It is essentially a form of feature hashing.
Both help with lowering the cardinality of categorical variables which helps improve some model performance, most notably with tree-based models.
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
add a comment
|
Target encoding maps the categorical variable to the mean of the target variable. As it uses the target, steps must be taken to avoid overfitting (usually done with smoothing).
Binary encoding converts each integer into binary digits with each binary digit having its one column. It is essentially a form of feature hashing.
Both help with lowering the cardinality of categorical variables which helps improve some model performance, most notably with tree-based models.
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
add a comment
|
Target encoding maps the categorical variable to the mean of the target variable. As it uses the target, steps must be taken to avoid overfitting (usually done with smoothing).
Binary encoding converts each integer into binary digits with each binary digit having its one column. It is essentially a form of feature hashing.
Both help with lowering the cardinality of categorical variables which helps improve some model performance, most notably with tree-based models.
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
Target encoding maps the categorical variable to the mean of the target variable. As it uses the target, steps must be taken to avoid overfitting (usually done with smoothing).
Binary encoding converts each integer into binary digits with each binary digit having its one column. It is essentially a form of feature hashing.
Both help with lowering the cardinality of categorical variables which helps improve some model performance, most notably with tree-based models.
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
answered Apr 22 at 12:20
Wayde HermanWayde Herman
415 bronze badges
415 bronze badges
add a comment
|
add a comment
|
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function ()
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f55402010%2fwhat-is-targetencoder-and-binaryencoder-in-sklearn-category-encoders%23new-answer', 'question_page');
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function ()
StackExchange.helpers.onClickDraftSave('#login-link');
);
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
