mlr3learners.KMforCSD-package: mlr3learners.KMforCSD: An MLR3 Regression Learner that...
In Yael-Travis-Lumer/mlr3learners.KMforCSD: An MLR3 Regression Learner that Enables Cross-Validation for the Proposed Kernel Machine.
Description
This package implements kernel machine regression based on a modification
of the quadratic loss, as described in 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.
Author(s)
Maintainer: Yael Travis-Lumer yael.travis@gmail.com
Yael-Travis-Lumer/mlr3learners.KMforCSD documentation built on Sept. 20, 2020, 11:49 a.m.
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Description
This package implements kernel machine regression based on a modification of the quadratic loss, as described in 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.
Author(s)
Maintainer: Yael Travis-Lumer yael.travis@gmail.com
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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