fdm2id: GRADIENTBOOSTING – R documentation

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GRADIENTBOOSTING

Classification using Gradient Boosting

This function builds a classification model using Gradient Boosting

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

`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.

The classification model.

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

## End(Not run)

Data Mining and R Programming for Beginners

v0.9.5

GPL-3

Authors

Alexandre Blansché [aut, cre]

Initial release