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Re: [Help] Possible scikit-learn issue (Was: Bug#1030907: umap-learn: FTBFS (failing tests))



On 2023-02-09 15:02, Andreas Tille wrote:
Control: tags -1 help

Am Thu, Feb 09, 2023 at 12:50:45AM +0100 schrieb Santiago Vila:
Package: src:umap-learn
Version: 0.4.5+dfsg-3
Severity: serious
Tags: ftbfs

Dear maintainer:

During a rebuild of all packages in bookworm, your package failed to build:

In Salsa CI you can find a more informative log:

   https://salsa.debian.org/med-team/umap-learn/-/jobs/3923570

Looking at line 1307 and following I'm wondering, whether this issue is
rather caused by scikit-learn which is not fully converted to numpy
1.24.

Any ideas how to fix this?

tldr;  https://github.com/lmcinnes/umap/pull/946

There's a couple of strange aspects to this problem. The np.matrix seems to be generated by scipy.sparse. np.matrix is "not recommended" by numpy, but not actually deprecated (at least not removed) yet. scikit-learn is jumping the gun by declaring it's not supported.

On the other hand, scitkit-learn has been "not supporting" it for two years now. This corner of the debian archive is quite a bit out of date. The current version of umap (i.e. umap-learn) is 0.5.3, released April last year.

That said, the np.matrix discrepancy was only just fixed recently, in December, by
https://github.com/lmcinnes/umap/pull/946

Drew


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