Preprocessing for cross validation

Preprocessing for cross validation

Usage

prepForCV(
  data = NULL,
  formula = NULL,
  imputation = FALSE,
  normalization = FALSE,
  nominalImputationType = "mode",
  numericImputationType = "mean",
  normalizationType = "range",
  seed = "4814"
)

Arguments

data

Training dataset to apply local preprocessing recipe.

formula

formula for modeling

imputation

If "imputation = TRUE", the model will be trained using cross-validation with imputation.

normalization

If "normalization = TRUE", the model will be trained using cross-validation with normalization

nominalImputationType

Imputation method for nominal variable (Option: mode(default), bag, knn)

numericImputationType

Imputation method for numeric variable (Option: mean(default), bag, knn, linear, lower, median, roll)

normalizationType

Normalization method (Option: range(default), center, normalization, scale)

seed

seed

Details

Define the local preprocessing method to be applied to the training data for each fold when the training data is divided into several folds.