fdm2id (version 0.9.5)

GRADIENTBOOSTING: Classification using Gradient Boosting

Description

This function builds a classification model using Gradient Boosting

Usage

GRADIENTBOOSTING(
  train,
  labels,
  ntree = 500,
  learningrate = 0.3,
  tune = FALSE,
  ...
)

Arguments

train

The training set (description), as a data.frame.

labels

Class labels of the training set (vector or factor).

ntree

The number of trees in the forest.

learningrate

The learning rate (between 0 and 1).

tune

If true, the function returns paramters instead of a classification model.

...

Other parameters.

Value

The classification model.

See Also

xgboost

Examples

# NOT RUN {
require (datasets)
data (iris)
GRADIENTBOOSTING (iris [, -5], iris [, 5])
# }