Description Usage Arguments Value Examples
View source: R/ensembleTrain.R
Training ensemble model
1 2 | ensembleTrain(mm, train, test, y, emsembleModelTrain, metric, nfolds,
repeats)
|
mm |
A trained object from mm function |
train |
A training data frame |
test |
A testing data frame |
y |
Response variable |
emsembleModelTrain |
An ensemble model to train from caret model list |
metric |
A minimization metric for training. If not mentioned, for regression RMSE and for classification Kappa value will be used. |
nfolds |
Number of kfolds for cross validation. By default, 5 will be used. |
repeats |
Number of repeats for cross validation. By default, 5 will be used. |
confusion matrix of ensemble model and returns ensemble model
1 2 3 | # data("iris")
# ensembleTrain(mm, train = iris, test = iris, y = "Species"
# , emsembleModelTrain = "C5.0")
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