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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

Examples

## Not run: 
require (datasets)
data (iris)
GRADIENTBOOSTING (iris [, -5], iris [, 5])

## End(Not run)

fdm2id

Data Mining and R Programming for Beginners

v0.9.5
GPL-3
Authors
Alexandre Blansché [aut, cre]
Initial release

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