Description Usage Arguments Version Date submitted Data type Author(s) See Also
Model module to fit a generalized boosted regression (aka boosted regression trees) model
1 | GBM(.df, max.trees = 1000, interaction.depth = 5, shrinkage = 0.001)
|
.df |
Internal parameter, do not use in the workflow function.
|
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. |
1.0
2015-11-13
presence/absence
ZOON Developers, zoonproject@gmail.com
Other model: BiomodModel
,
Domain
, LogisticRegression
,
MachineLearn
, MaxEnt
,
MaxLike
, MaxNet
,
MyMaxLike
, NullModel
,
OptGRaF
, QuickGRaF
,
RandomForest
,
StochasticLogisticRegression
,
mgcv
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