How mlxtend StackingRegressor with multiple cpu?
up vote
0
down vote
favorite
I would like to use mlxtend StackingRegressor to ensemble XGBoost,LGBM and Catboost .But I am not sure how much cpu I will use in this method.
For example:
In XGboost:
import xgboost as xgb
xgb_pars = {'nthread': -1}
xgb1=XGBRegressor(**xgb_pars)
Then I know I will use up all cpu core in this algorithm
But what if I try it with mlxtend StackingRegressor?
I guess this method will use cpu that I arranged to each algorithm.
Example:
XGBoost:2 LGBM:2 CatBoost:2 Meta regressor:1
So finally I am using 7 cores.
machine-learning xgboost lightgbm catboost mlxtend
add a comment |
up vote
0
down vote
favorite
I would like to use mlxtend StackingRegressor to ensemble XGBoost,LGBM and Catboost .But I am not sure how much cpu I will use in this method.
For example:
In XGboost:
import xgboost as xgb
xgb_pars = {'nthread': -1}
xgb1=XGBRegressor(**xgb_pars)
Then I know I will use up all cpu core in this algorithm
But what if I try it with mlxtend StackingRegressor?
I guess this method will use cpu that I arranged to each algorithm.
Example:
XGBoost:2 LGBM:2 CatBoost:2 Meta regressor:1
So finally I am using 7 cores.
machine-learning xgboost lightgbm catboost mlxtend
add a comment |
up vote
0
down vote
favorite
up vote
0
down vote
favorite
I would like to use mlxtend StackingRegressor to ensemble XGBoost,LGBM and Catboost .But I am not sure how much cpu I will use in this method.
For example:
In XGboost:
import xgboost as xgb
xgb_pars = {'nthread': -1}
xgb1=XGBRegressor(**xgb_pars)
Then I know I will use up all cpu core in this algorithm
But what if I try it with mlxtend StackingRegressor?
I guess this method will use cpu that I arranged to each algorithm.
Example:
XGBoost:2 LGBM:2 CatBoost:2 Meta regressor:1
So finally I am using 7 cores.
machine-learning xgboost lightgbm catboost mlxtend
I would like to use mlxtend StackingRegressor to ensemble XGBoost,LGBM and Catboost .But I am not sure how much cpu I will use in this method.
For example:
In XGboost:
import xgboost as xgb
xgb_pars = {'nthread': -1}
xgb1=XGBRegressor(**xgb_pars)
Then I know I will use up all cpu core in this algorithm
But what if I try it with mlxtend StackingRegressor?
I guess this method will use cpu that I arranged to each algorithm.
Example:
XGBoost:2 LGBM:2 CatBoost:2 Meta regressor:1
So finally I am using 7 cores.
machine-learning xgboost lightgbm catboost mlxtend
machine-learning xgboost lightgbm catboost mlxtend
asked Nov 22 at 16:46
Hq Li
34
34
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
up vote
0
down vote
Nope, the code seems to fit models one after another, see here. So first you will use 2 cores to train XGB, when it finishes- 2 cores for LGBM, and so on.
BTW, thanks for sharing mlxtend- i was not aware of it. Seems to have many useful tools, that i had to develop myself and thus to re-invent the wheel :) The only unfortunate thing seems to be missing docs, but there are inlined docs and a very good set of examples
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',
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/3.0/"u003ecc by-sa 3.0 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%2f53435313%2fhow-mlxtend-stackingregressor-with-multiple-cpu%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
up vote
0
down vote
Nope, the code seems to fit models one after another, see here. So first you will use 2 cores to train XGB, when it finishes- 2 cores for LGBM, and so on.
BTW, thanks for sharing mlxtend- i was not aware of it. Seems to have many useful tools, that i had to develop myself and thus to re-invent the wheel :) The only unfortunate thing seems to be missing docs, but there are inlined docs and a very good set of examples
add a comment |
up vote
0
down vote
Nope, the code seems to fit models one after another, see here. So first you will use 2 cores to train XGB, when it finishes- 2 cores for LGBM, and so on.
BTW, thanks for sharing mlxtend- i was not aware of it. Seems to have many useful tools, that i had to develop myself and thus to re-invent the wheel :) The only unfortunate thing seems to be missing docs, but there are inlined docs and a very good set of examples
add a comment |
up vote
0
down vote
up vote
0
down vote
Nope, the code seems to fit models one after another, see here. So first you will use 2 cores to train XGB, when it finishes- 2 cores for LGBM, and so on.
BTW, thanks for sharing mlxtend- i was not aware of it. Seems to have many useful tools, that i had to develop myself and thus to re-invent the wheel :) The only unfortunate thing seems to be missing docs, but there are inlined docs and a very good set of examples
Nope, the code seems to fit models one after another, see here. So first you will use 2 cores to train XGB, when it finishes- 2 cores for LGBM, and so on.
BTW, thanks for sharing mlxtend- i was not aware of it. Seems to have many useful tools, that i had to develop myself and thus to re-invent the wheel :) The only unfortunate thing seems to be missing docs, but there are inlined docs and a very good set of examples
answered Dec 1 at 15:35
Mykhailo Lisovyi
867110
867110
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.
Some of your past answers have not been well-received, and you're in danger of being blocked from answering.
Please pay close attention to the following guidance:
- 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%2f53435313%2fhow-mlxtend-stackingregressor-with-multiple-cpu%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