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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.

Screenshots

  • k-inertia-1.0.0
    ~amd64 ~x86
    python_targets_python3_11 python_targets_python3_12 python_targets_python3_13 python_targets_python3_14

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    Overlay: pypi

ChangeLog

commit 69e1ce8751e36cee053008fc6bc07a396f3dd063
Author: Regeneration Bot <regenerationbot@houseofsuns.org>
Date: Thu Aug 14 17:03:06 2025 +0000

Auto-generated ebuilds 2025-08-14T17:02:51.

commit 96bd95367a4115abd20160470664e46a8a7e644a
Author: Regeneration Bot <regenerationbot@houseofsuns.org>
Date: Sun Jan 7 14:10:11 2024 +0000

Auto-generated ebuilds 2024-01-07T14:10:09.