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Hi, we (NixOS) are seeing some failures in the umap-learn 0.5.3 testsuite since upgrading past sklearn 1.2.0. Seems like a few places need to use asarray now to fix np.matrix usage. Actually similar to lmcinnes/pynndescent#207 and apparently fixed in c7d0568 and a714b59.
And then there is one other test, that seems to pass an unaccepted random_state apparently fixed in 949abd0.
sklearn.utils._param_validation.InvalidParameterError: The 'random_state' parameter of SpectralEmbedding must be an int in the range [0, 4294967295], an instance of 'numpy.random.mtrand.RandomState' or None. Got <module 'numpy.random' from '/nix/store/jirzlk538n9bbbwp54rd9wcsb8nf3rf0-python3.10-numpy-1.23.5/lib/python3.10/site-packages/numpy/random/init.py'> instead.
Both remain unrelased, but that is fine, we can apply them as patches to fix our downstream usage.
Edited, so others can maybe reuse this information.
Hi, we (NixOS) are seeing some failures in the umap-learn 0.5.3 testsuite since upgrading past sklearn 1.2.0. Seems like a few places need to use
asarray
now to fixnp.matrix
usage. Actually similar to lmcinnes/pynndescent#207 and apparently fixed in c7d0568 and a714b59.And then there is one other test, that seems to pass an unaccepted
random_state
apparently fixed in 949abd0.Both remain unrelased, but that is fine, we can apply them as patches to fix our downstream usage.
Edited, so others can maybe reuse this information.
full log
https://gist.github.com/mweinelt/e62e82595a30eeb79946d35131ecb970
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