Yael-Travis-Lumer/mlr3learners.KMforCSD: An MLR3 Regression Learner that Enables Cross-Validation for the Proposed Kernel Machine.

This package implements kernel machine regression based on a modification of the quadratic loss, as described in \href{https://arxiv.org/abs/1505.00991}{Kernel Machines for Current Starus Data}. This package is a wrapper of the KMforCSD package that enables CV for hyper-parameter tuning, and is based on the MLR3 template.

Getting started

Package details

Maintainer
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("Yael-Travis-Lumer/mlr3learners.KMforCSD")
Yael-Travis-Lumer/mlr3learners.KMforCSD documentation built on Sept. 20, 2020, 11:49 a.m.