bsSVM: Bootstrap

In liquidSVM: A Fast and Versatile SVM Package

Description

This routine performs bootstrap learning for all scenarios except multiclass classification.

Usage

bsSVM(x, y, ..., solver, ws.number = 5, ws.size = 500,
  do.select = TRUE)

Arguments

x	either a formula or the features
y	either the data or the labels corresponding to the features x. It can be a character in which case the data is loaded using liquidData. If it is of type liquidData then after training and selection the model is tested using the testing data (y$test).
...	configuration parameters, see Configuration. Can be threads=2, display=1, gpus=1, etc.
solver	the solver to use. Can be any of KERNEL_RULE, SVM_LS_2D, SVM_HINGE_2D, SVM_QUANTILE, SVM_EXPECTILE_2D
ws.number	number of working sets to build and train
ws.size	how many samples to draw from the training set for each working set
do.select	if TRUE also does the whole selection for this model

Value

an object of type svm. Depending on the usage this object has also $train_errors, $select_errors, and $last_result properties.

liquidSVM documentation built on Sept. 15, 2019, 1:02 a.m.