scaler: Scaling a dataframe

In UBC-MDS/prepropy-r: A R package for data preprocessing

Description

This function scales numerical features based on scaling requirement(standardization, minmax Scaling) in a data.frame

Usage

scaler(X_train, X_valid, X_test, scaler_type)

Arguments

X_train	data.frame
X_valid	data.frame
X_test	data.frame
scaler_type	character

Value

data.frame of data.frames

Examples

X_train <- data.frame('a' = c(1,2,3), 'b' = c(5,6,3), 'c' = c(2,1,10))
X_test <- data.frame('a' = c(1,5,3), 'b' = c(5,6,5), 'c' = c(2,5,10))
X_Valid <- data.frame('a' = c(5,5,3), 'b' = c(5,6,5), 'c' = c(2,5,10))
scaled_df <- scaler(X_train, X_Valid, X_test, scaler_type='standardization')

UBC-MDS/prepropy-r documentation built on March 30, 2021, 12:02 p.m.