GBM: Model module: GBM

Description Usage Arguments Version Date submitted Data type Author(s) See Also

Description

Model module to fit a generalized boosted regression (aka boosted regression trees) model

Usage

1
GBM(.df, max.trees = 1000, interaction.depth = 5, shrinkage = 0.001)

Arguments

.df

Internal parameter, do not use in the workflow function. .df is data frame that combines the occurrence

max.trees

The maximum number of trees to fit. The number of trees is equivalent to the number of iterations and the number of basis functions in the additive expansion. The optimal number will be selected by cross-validation, but this sets an upper limit.

interaction.depth

The maximum depth of variable interactions. 1 implies an additive model, 2 implies a model with up to 2-way interactions, etc.

shrinkage

a shrinkage parameter applied to each tree in the expansion. Also known as the learning rate or step-size reduction.

Version

1.0

Date submitted

2015-11-13

Data type

presence/absence

Author(s)

ZOON Developers, zoonproject@gmail.com

See Also

Other model: BiomodModel, Domain, LogisticRegression, MachineLearn, MaxEnt, MaxLike, MaxNet, MyMaxLike, NullModel, OptGRaF, QuickGRaF, RandomForest, StochasticLogisticRegression, mgcv


zoonproject/modules documentation built on May 4, 2019, 11:25 p.m.