fitGBM: Fit a Gradient Boosting Machine model.

In bootfs: Derive Robust Feature Sets for Two or Multiclass Classification Problems

Description

Fit a Gradient Boosting Machine model.

Usage

fitGBM(train, traing, ntree, shrinkage, interaction.depth,
	bag.fraction, train.fraction, n.minobsinnode, verbose)

Arguments

train	Data matrix.
traing	Response vector.
ntree	Number of boosting trees.
shrinkage	Shrinkage parameter fro gbm.
interaction.depth	Shrinkage parameter fro gbm.
bag.fraction	Shrinkage parameter fro gbm.
train.fraction	Shrinkage parameter fro gbm.
n.minobsinnode	Shrinkage parameter fro gbm.
verbose	Boolean. If TRUE print some messages.

Details

Fit a boosting model.

Value

TODO

Author(s)

Christian Bender

See Also

cvGBM

Examples

## Not run: 
	TODO

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bootfs documentation built on May 2, 2019, 5:50 p.m.