dev-python/k-inertia
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.
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k-inertia-1.0.0
dev-python/numpy[python_targets_python3_11
(-)
?
,python_targets_python3_12
(-)
?
,python_targets_python3_13
(-)
?
,python_targets_python3_14
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?
]
python_targets_python3_11?
( dev-lang/python:3.11 )
python_targets_python3_12?
( dev-lang/python:3.12 )
python_targets_python3_13?
( dev-lang/python:3.13 )
python_targets_python3_14?
( dev-lang/python:3.14 )