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Install

Install this package:

emerge -a dev-python/torch-kmeans

If the package is masked, you can unmask it using the autounmask tool or standard emerge options:

autounmask dev-python/torch-kmeans

Or alternatively:

emerge --autounmask-write -a dev-python/torch-kmeans

Package Information

Description:: PyTorch implementations of KMeans, Soft-KMeans and Constrained-KMeans which can be run on GPU and work on (mini-)batches of data.
Homepage:: https://github.com/jokofa/torch_kmeans
License:: MIT

Versions

Version	EAPI	Keywords	Slot
0.2.0	8	~amd64 ~x86	0

Metadata

Maintainers

Markus Walter (gentoo@houseofsuns.org) - Type: person

Raw Metadata XML

<pkgmetadata>
	<maintainer type="person">
		<email>gentoo@houseofsuns.org</email>
		<name>Markus Walter</name>
	</maintainer>
</pkgmetadata>

Lint Warnings

[Warning] USE flag 'testing' in ebuild 0.2.0 is not documented in metadata.xml
[Error] Missing md5-cache for ebuild torch-kmeans-0.2.0

USE Flags

Manage flags for this package: euse -i <flag> -p dev-python/torch-kmeans | euse -E <flag> -p dev-python/torch-kmeans | euse -D <flag> -p dev-python/torch-kmeans

Flag	Description	0.2.0
testing	⚠️	✓

Manifest

Type	File	Size	Versions

Unmatched Entries

Type	File	Size
DIST	torch_kmeans-0.2.0.tar.gz	74540 bytes
EBUILD	torch-kmeans-0.2.0.ebuild	1185 bytes
MISC	metadata.xml	250 bytes

dev-python/torch-kmeans (pypi)