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 |
labels |
Class labels of the training set ( |
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)
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