Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Issue with int32/int64 dtype with NumPy 2.0 #29028

Closed
glemaitre opened this issue May 16, 2024 · 0 comments · Fixed by #29029
Closed

Issue with int32/int64 dtype with NumPy 2.0 #29028

glemaitre opened this issue May 16, 2024 · 0 comments · Fixed by #29029
Assignees

Comments

@glemaitre
Copy link
Member

The conda-forge build caught the following error: conda-forge/scikit-learn-feedstock#259 (comment)

It boils down to the function missing the long long fused type. However, I'm not sure that our current CI would have caught the issue at any point since we would need a Windows with the latest pip version (here this is even with --pre since NumPy is not released yet).

We should have this fix included in 1.5 final release.

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

Successfully merging a pull request may close this issue.

1 participant