gbm_multi: Calling function to GBM bootstrapping

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

Description

Calling function to GBM bootstrapping. Used internally.

Usage

gbm_multi(X, datX, seed = 123, bstr = 100, params = NULL)

Arguments

X	The grouping factor. A list with one element holding the grouping factor.
datX	The data matrix.
seed	A random seed.
bstr	Integer. Number of bootstrapping iterations.
params	List. A parameter list. See doBS for details.

Details

Internally called function to call the bootstrapping method using GBMs.

Value

List with two elements: fit holding the bootstrap fits and selprobes holding the selected features for each bootstrapping run.

Author(s)

Christian Bender

References

Friedman, J. H.: Stochastic Gradient Boosting. (March 1999) Friedman, J. H.: Greedy function approximation: A gradient boosting machine. Ann. Statist. Volume 29, Number 5 (2001), 1189-1232.

See Also

doBS doCV

Examples

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