kerntools: Kernel Functions and Tools for Machine Learning Applications
Kernel functions for diverse types of data (including, but not
restricted to: nonnegative and real vectors, real matrices, categorical
and ordinal variables, sets, strings), plus other utilities like kernel
similarity, kernel Principal Components Analysis (PCA) and features'
importance for Support Vector Machines (SVMs), which expand other 'R'
packages like 'kernlab'.
| Version: |
1.0.2 |
| Depends: |
R (≥ 2.10) |
| Imports: |
dplyr, ggplot2, kernlab, methods, reshape2, stats, stringi |
| Suggests: |
knitr, rmarkdown, spelling, testthat (≥ 3.0.0) |
| Published: |
2024-09-04 |
| DOI: |
10.32614/CRAN.package.kerntools |
| Author: |
Elies Ramon  [aut,
cre, cph] |
| Maintainer: |
Elies Ramon <eramon at everlyrusher.com> |
| License: |
GPL (≥ 3) |
| NeedsCompilation: |
no |
| Language: |
en-US |
| Materials: |
README NEWS |
| CRAN checks: |
kerntools results |
Documentation:
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