GBMModel {MachineShop} | R Documentation |
Generalized Boosted Regression Model
Description
Fits generalized boosted regression models.
Usage
GBMModel(
distribution = character(),
n.trees = 100,
interaction.depth = 1,
n.minobsinnode = 10,
shrinkage = 0.1,
bag.fraction = 0.5
)
Arguments
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. |
Details
- Response types:
factor
,numeric
,PoissonVariate
,Surv
- Automatic tuning of grid parameters:
-
n.trees
,interaction.depth
,shrinkage
*,n.minobsinnode
*
* excluded from grids by default
Default argument values and further model details can be found in the source See Also link below.
Value
MLModel
class object.
See Also
Examples
## Requires prior installation of suggested package gbm to run
fit(Species ~ ., data = iris, model = GBMModel)