trainWrapper: Generic methods to train classifiers

In imbalance: Preprocessing Algorithms for Imbalanced Datasets

Description

Generic methods to train classifiers

Usage

trainWrapper(wrapper, train, trainClass, ...)

Arguments

wrapper	the wrapper instance
train	data.frame of the train dataset without the class column
trainClass	a vector containing the class column for train
...	further arguments for wrapper

Value

A model which is predict callable.

See Also

predict

Examples

myWrapper <- structure(list(), class="C50Wrapper")
trainWrapper.C50Wrapper <- function(wrapper, train, trainClass){
  C50::C5.0(train, trainClass)
}

imbalance documentation built on April 14, 2020, 6:02 p.m.