MinMax_TR {RKEEL} | R Documentation |
MinMax_TR KEEL Preprocess Algorithm
Description
MinMax_TR Preprocess Algorithm from KEEL.
Usage
MinMax_TR(train, test, newMin, newMax)
Arguments
train |
Train dataset as a data.frame object |
test |
Test dataset as a data.frame object |
newMin |
newMin. Default value = 0.0 |
newMax |
newMax. Default value = 1.0 |
Value
A data.frame with the preprocessed data for both train
and test
datasets.
Examples
data_train <- RKEEL::loadKeelDataset("car_train")
data_test <- RKEEL::loadKeelDataset("car_test")
#Create algorithm
algorithm <- RKEEL::MinMax_TR(data_train, data_test)
#Run algorithm
algorithm$run()
#See results
algorithm$preprocessed_test
[Package RKEEL version 1.3.4 Index]