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rocsvm.path
View on CRAN: Click
here
Download and install rocsvm.path package within the R console
Install from CRAN:
install.packages("rocsvm.path")
Install from Github:
library("remotes")
install_github("cran/rocsvm.path")
Install by package version:
library("remotes")
install_version("rocsvm.path", "0.1.0")
Attach the package and use:
library("rocsvm.path")
Maintained by
Seung Jun Shin
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2018-10-14
Description:
We develop the entire solution paths for ROC-SVM presented by Rakotomamonjy. The ROC-SVM solution path algorithm greatly facilitates the tuning procedure for regularization parameter, lambda in ROC-SVM by avoiding grid search algorithm which may be computationally too intensive. For more information on the ROC-SVM, see the report in the ROC Analysis in AI workshop(ROCAI-2004) : Hern
How to cite:
Seung Jun Shin (2018). rocsvm.path: The Entire Solution Paths for ROC-SVM. R package version 0.1.0, https://cran.r-project.org/web/packages/rocsvm.path. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for rocsvm.path
Functions, R codes and Examples using
the rocsvm.path R package
Some associated functions: plot.rocsvm . poly.kernel . radial.kernel . rocsvm.get.solution . rocsvm.intercept . rocsvm.path . rocsvm.solve .
Some associated R codes: plot.rocsvm.R . poly.kernel.R . radial.kernel.R . rocsvm.compute.K.R . rocsvm.curve.R . rocsvm.empty.R . rocsvm.get.solution.R . rocsvm.initialization.R . rocsvm.intercept.R . rocsvm.path.R . rocsvm.solve.R . Full rocsvm.path package functions and examples
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