This package implements a generalized coordinate descent (GCD) algorithm for computing the solution path of the hybrid Huberized support vector machine (HHSVM) and its generalization, including the elastic net penalized least squares, the elastic net penalized SVM with the squared hinge loss and the elastic net penalized logistic regression.
|Author||Yi Yang <firstname.lastname@example.org>, Hui Zou <email@example.com>|
|Date of publication||2013-11-19 07:35:15|
|Maintainer||Yi Yang <firstname.lastname@example.org>|
coef.cv.gcdnet: get coefficients or make coefficient predictions from a...
coef.gcdnet: get coefficients or make coefficient predictions from an...
cv.gcdnet: Cross-validation for gcdnet
FHT: FHT data introduced in Friedman et al. (2010).
gcdnet: Fits the regularization paths for large margin classifiers
plot.cv.gcdnet: plot the cross-validation curve produced by cv.gcdnet
plot.gcdnet: Plot coefficients from a "gcdnet" object
predict.cv.gcdnet: make predictions from a "cv.gcdnet" object.
predict.gcdnet: make predictions from a "gcdnet" object.
print.gcdnet: print a gcdnet object