dev-python/k-inertia (pypi)

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Package Information

Description:
K-Inertia: A User-Friendly Machine Learning Library K-Inertia or Kavish Inertia is a Python machine learning library designed for simplicity and ease of use. With a focus on user-friendly interfaces, K-Inertia provides implementations of various machine learning algorithms, including regression, logistic regression, k-nearest neighbors, naive Bayes, support vector machines, and k-means clustering.
License:
MIT

Versions

Version EAPI Keywords Slot
1.0.0 8 ~amd64 ~x86 0

Metadata

Maintainers

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

Lint Warnings

Manifest

Type File Size Versions
DIST k-inertia-1.0.0.tar.gz 7544 bytes 1.0.0
Unmatched Entries
Type File Size
EBUILD k-inertia-1.0.0.ebuild 1030 bytes
MISC metadata.xml 250 bytes