FIX fix multinomial deviance by taking the weighted average instead of the sum#17694
Conversation
Conflicts: sklearn/ensemble/_gb.py sklearn/ensemble/tests/test_gradient_boosting_loss_functions.py
Contributor
|
Thanks @t-kusanagi2 for taking care of that. @glemaitre you reviewed the original PR, do you mind checking if your comments have been addressed? Thanks! |
glemaitre
reviewed
Jun 25, 2020
Member
glemaitre
left a comment
glemaitre
left a comment
There was a problem hiding this comment.
We will need an entry in whats new for 0.24
glemaitre
changed the title
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Author
I added to |
glemaitre
reviewed
Jun 26, 2020
glemaitre
approved these changes
Jun 26, 2020
Member
glemaitre
left a comment
glemaitre
left a comment
There was a problem hiding this comment.
I am happy with it. We will need a second reviewer.
Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
ogrisel
reviewed
Jun 26, 2020
…nagi2/scikit-learn into multinomial-deviance-mean
ogrisel
reviewed
Jun 26, 2020
ogrisel
reviewed
Jun 26, 2020
ogrisel
approved these changes
Jun 26, 2020
Member
ogrisel
left a comment
ogrisel
left a comment
There was a problem hiding this comment.
Whenever I read this code I am not sure that fitting weighted regression to predict the unweighted deviance gradient + the leaf value fix-up is equivalent to fitting an weighted tree on the weighted deviance.
At some point we should write some tests to check this but this is outside of the scope of this PR.
Member
|
Thanks @t-kusanagi2 |
ghost
deleted the
glemaitre
added a commit
to glemaitre/scikit-learn
that referenced
this pull request
Jul 17, 2020
…f the sum (scikit-learn#17694) Co-authored-by: Markus Rempfler <markus.rempfler@tum.de> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
glemaitre
added a commit
to glemaitre/scikit-learn
that referenced
this pull request
Aug 3, 2020
…f the sum (scikit-learn#17694) Co-authored-by: Markus Rempfler <markus.rempfler@tum.de> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
jayzed82
pushed a commit
to jayzed82/scikit-learn
that referenced
this pull request
Oct 22, 2020
…f the sum (scikit-learn#17694) Co-authored-by: Markus Rempfler <markus.rempfler@tum.de> Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com> Co-authored-by: Olivier Grisel <olivier.grisel@ensta.org>
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
4 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
Reference Issues/PRs
Fixes #10055
Closes #10081
What does this implement/fix? Explain your changes.
Changed MultinomialDeviance from total logloss to average logloss.
Any other comments?
I fixed stalled PR #10081. The main modification is from #10081.
What I did is to merge recently master branch and fix conflicts and flake8 errors.