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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'.
Getting started
Browse package contents
Package details |
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| Author | Elies Ramon [aut, cre, cph] (<https://orcid.org/0000-0002-7953-8115>) |
| Maintainer | Elies Ramon <eramon@everlyrusher.com> |
| License | GPL (>= 3) |
| Version | 1.2.0 |
| URL | https://github.com/elies-ramon/kerntools https://elies-ramon.github.io/kerntools/ |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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