creditmodel (version 1.3.1)

one_hot_encoding: One-Hot Encoding

Description

one_hot_encoding is for converting the factor or character variables into multiple columns

Usage

one_hot_encoding(
  dat,
  cat_vars = NULL,
  ex_cols = NULL,
  merge_cat = TRUE,
  na_act = TRUE,
  note = FALSE
)

Arguments

dat

A dat frame.

cat_vars

The name or Column index list to be one_hot encoded.

ex_cols

Variables to be excluded, use regular expression matching

merge_cat

Logical. If TRUE, to merge categories greater than 8, default is TRUE.

na_act

Logical,If true, the missing value is processed, if FALSE missing value is omitted .

note

Logical.Outputs info.Default is TRUE.

Value

A dat frame with the one hot encoding applied to all the variables with type as factor or character.

See Also

de_one_hot_encoding

Examples

# NOT RUN {
dat1 = one_hot_encoding(dat = UCICreditCard,
cat_vars = c("SEX", "MARRIAGE"),
merge_cat = TRUE, na_act = TRUE)
dat2 = de_one_hot_encoding(dat_one_hot = dat1,
cat_vars = c("SEX","MARRIAGE"), na_act = FALSE)

# }