[MRG] TST Adapt rtol to precision in a sparsefuncs test#16514
Closed
jeremiedbb wants to merge 1 commit intoscikit-learn:masterfrom
Closed
[MRG] TST Adapt rtol to precision in a sparsefuncs test#16514jeremiedbb wants to merge 1 commit intoscikit-learn:masterfrom
jeremiedbb wants to merge 1 commit intoscikit-learn:masterfrom
Conversation
Member
|
There is #16509 already.. |
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
2 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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
test_csr_row_normsdid not have a fixed random_state so failure is hard to catch. It appeared in #16499, see https://dev.azure.com/scikit-learn/scikit-learn/_build/results?buildId=13730&view=logs&jobId=91634bb0-5686-577d-d1fa-65c16f031456The issue is that the default rtol (1e-7) of
assert_allcloseis not adapted to float32 because in that case machine precision is ~1.2e-7.