GBMModel {MachineShop} | R Documentation |
Fits generalized boosted regression models.
GBMModel( distribution = NULL, n.trees = 100, interaction.depth = 1, n.minobsinnode = 10, shrinkage = 0.1, bag.fraction = 0.5 )
distribution |
optional character string specifying the name of the
distribution to use or list with a component |
n.trees |
total number of trees to fit. |
interaction.depth |
maximum depth of variable interactions. |
n.minobsinnode |
minimum number of observations in the trees terminal nodes. |
shrinkage |
shrinkage parameter applied to each tree in the expansion. |
bag.fraction |
fraction of the training set observations randomly selected to propose the next tree in the expansion. |
factor
, numeric
,
PoissonVariate
, Surv
n.trees
, interaction.depth
, shrinkage
*,
n.minobsinnode
*
* included only in randomly sampled grid points
Default values for the NULL
arguments and further model details can be
found in the source link below.
MLModel
class object.
## Requires prior installation of suggested package gbm to run fit(Species ~ ., data = iris, model = GBMModel)