low_variance_filter {creditmodel} | R Documentation |
Filtering Low Variance Variables
Description
low_variance_filter
is for removing variables with repeated values up to a certain percentage.
Usage
low_variance_filter(
dat,
lvp = 0.97,
only_NA = FALSE,
note = FALSE,
ex_cols = NULL
)
Arguments
dat |
A data frame with x and target. |
lvp |
The maximum percent of unique values (including NAs). |
only_NA |
Logical, only process variables which NA's rate are more than lvp. |
note |
Logical.Outputs info.Default is TRUE. |
ex_cols |
A list of excluded variables. Default is NULL. |
Value
A data.frame
Examples
dat = low_variance_filter(lendingclub[1:1000, ], lvp = 0.9)
[Package creditmodel version 1.3.1 Index]