knn_preprocess: knn Preprocess

In AlbertoAlmuinha/knnClassifier: K-Nearest Neighbor Algorithm for Classification

Description

This function applies step functions of recipes package

Usage

knn_preprocess(formula, data, methods = is.character(),
  apply_on = c("numeric", "categorical"), role = c("predictor",
  "outcome"))

Arguments

formula	Formula that will be evaluated in knn algorithm (for example: Species ~ .)
data	Dataframe that will be modified
methods	Steps functions of the recipes package to be applied. For example( c("step_center", "step_scale", "step_range"))
apply_on	"Categorical" or "Numeric". The column type in which step functions will be applied.
role	"Predictor" or "Outcome". Outcome is the target variable and "Predictor" represent all the rest in "formula".

Value

Returns a data frame with all the changes applied.

Author(s)

Alberto Almui?a

Examples

data<-knn_preprocess(Species ~ ., iris, c("step_center", "step_scale", "step_range"), "Numeric", "Predictor")
data<-knn_preprocess(Species ~ ., iris, c("step_dummy"), "Categorical", "Outcome")

AlbertoAlmuinha/knnClassifier documentation built on Oct. 30, 2019, 4:48 a.m.