[MRG+1] MNT Use std math lib log1p instead of np.log1p in cython inner loops#11848
Merged
qinhanmin2014 merged 1 commit intoscikit-learn:masterfrom Aug 18, 2018
Merged
[MRG+1] MNT Use std math lib log1p instead of np.log1p in cython inner loops#11848qinhanmin2014 merged 1 commit intoscikit-learn:masterfrom
qinhanmin2014 merged 1 commit intoscikit-learn:masterfrom
Conversation
Member
Author
|
FYI this |
qinhanmin2014
approved these changes
Aug 18, 2018
Member
There was a problem hiding this comment.
LGTM, I can reproduce the regression. Sorry for the regression.
agramfort
approved these changes
Aug 18, 2018
Member
|
This failed in Appeveyor 32 bit on master, with, |
Member
This is a rare accident. An error occurred in the PR (other jobs passed) so the failure is not detected. Possible solution might be simply revert the cython part of #11428 |
Member
|
FYI I use |
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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 performance regressions introduced in #11428 as discussed in #11476 (comment)
We should be using low level C functions in inner loops, not numpy functions.