Description Usage Arguments Value
View source: R/real.adaboost.R
Implementation of the Real AdaBoost algorithm based on Friedman, J., Hastie, T., and Tibshirani, R. (2000)
1 | real.adaboost(formula, data, classifier, n.iter)
|
formula |
an object of class |
data |
an optional data frame, list or environment (or object coercible
by |
classifier |
classifier to use in the algorithm. |
n.iter |
number of iterations to apply. |
real.adaboost
returns an object of class
mlkit.class.fit
. An object of class mlkit.class.fit
is a list
containing at least the following components:
classifier |
a multiclass classifier function. |
y.hat |
the in-sample classifications of the given data. |
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