KRLS

cranv1.0-0

Kernel-Based Regularized Least Squares. Package implements Kernel-based Regularized Least Squares (KRLS), a machine learning method to fit multidimensional functions y=f(x) for regression and classification problems without relying on linearity or additivity assumptions. KRLS finds the best fitting function by minimizing the squared loss

License GPL (>= 2)0 versions1 maintainers0 deps130 weekly dl
https://CRAN.R-project.org/package=KRLS
42
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safe to use

[email protected] is safe to use (health: 42/100)

Health breakdown0 – 100
0/25
maintenance
3/20
popularity
25/25
security
12/15
maturity
2/15
community
Vulnerabilities
0
none known
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First published · 2017-07-10 13:56:53

Last updated · 2017-07-10T12:55:59+00:00