.core

.calc.mult.inv_Q_mat2

.correctness

.create.covariance.matrix

.EstNuLong

.EstNuShort

.extend.to.quad.matrix

.find.inverse

.Random.seed

.required

.run.cv

.whatiscorrect

internal

penaltySVM-internal

Support Vector Machine (SVM) classification with simultaneous feature selection using penalty
functions is implemented. The smoothly clipped absolute deviation (SCAD),
'L1-norm', 'Elastic Net' ('L1-norm' and 'L2-norm') and 'Elastic
SCAD' (SCAD and 'L2-norm') penalties are available. The tuning
parameters can be found using either a fixed grid or a interval
search.

Natalia Becker

penalizedSVM

Feature Selection SVM using Penalty Functions

penaltySVM-internal function

Internal penaltySVM objects — penaltySVM-internal

Internal penaltySVM objects

penaltySVM-internal: Internal penaltySVM objects

Description

Arguments

Details