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gelnet (version 1.2.1)
Generalized Elastic Nets
Description
Implements several extensions of the elastic net regularization scheme. These extensions include individual feature penalties for the L1 term, feature-feature penalties for the L2 term, as well as translation coefficients for the latter.
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Version
Version
1.2.1
1.1
1.0
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Install
install.packages('gelnet')
Monthly Downloads
222
Version
1.2.1
License
GPL (>= 3)
Maintainer
Artem Sokolov
Last Published
April 5th, 2016
Functions in gelnet (1.2.1)
Search functions
adj2lapl
Generate a graph Laplacian
adj2nlapl
Generate a normalized graph Laplacian
gelnet
GELnet for linear regression, binary classification and one-class problems.
gelnet.logreg.obj
Logistic regression objective function value
gelnet.lin.obj
Linear regression objective function value
gelnet.cv
k-fold cross-validation for parameter tuning.
gelnet.oneclass.obj
One-class regression objective function value
L1.ceiling
The largest meaningful value of the L1 parameter
gelnet.ker
Kernel models for linear regression, binary classification and one-class problems.
gelnet.logreg
GELnet for logistic regression
gelnet.kor
Kernel one-class regression
gelnet.oneclass
GELnet for one-class regression
gelnet.lin
GELnet for linear regression
gelnet.krr
Kernel ridge regression
gelnet.klr
Kernel logistic regression
gelnet.L1bin
A GELnet model with a requested number of non-zero weights