ensembleTrain: Training ensemble model

In nagdevAmruthnath/EnsembleML: An ensemble modeling package and deployment

Description

Training ensemble model

Usage

ensembleTrain(mm, train, test, y, emsembleModelTrain, metric, nfolds,
  repeats)

Arguments

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.

Value

confusion matrix of ensemble model and returns ensemble model

Examples

# data("iris")
# ensembleTrain(mm, train = iris, test = iris, y = "Species"
#                , emsembleModelTrain = "C5.0")

nagdevAmruthnath/EnsembleML documentation built on Nov. 5, 2019, 2:20 p.m.