scaler: scaler Perform standard scaler on numerical features.

In UBC-MDS/PrepR: Makes Preprocessing Easier

Description

scaler Perform standard scaler on numerical features.

Usage

scaler(x_train, x_valid, x_test, colnames)

Arguments

x_train	data.frame Dataframe of train set containing columns to be scaled.
x_valid	data.frame Dataframe of validation set containing columns to be scaled.
x_test	data.frame Dataframe of test set containing columns to be scaled.
colnames	vector Vector of column names for numeric features

Value

list of data.frame Stores the x_train, x_valid and x_test separately as three dataframes in one list. The first element in the list will contain x_train, second will be x_valid and the third will contain x_test.

Examples

x_train <- data.frame(colors = c('Blue', 'Red', 'Green'), counts = c(34, 35, 56),
usage = c(4, 6, 9))

x_valid <- data.frame(colors = c('Blue', 'Red', 'Green'), counts = c(29, 65, 13),
usage = c(5, 27, 10))

x_test <- data.frame(colors = c('Blue', 'Red', 'Green'), counts = c(20, 35, 18),
usage = c(9, 6, 0))

colnames <- c('counts', 'usage')

x_train = scaler(x_train, x_valid, x_test, colnames)$x_train
x_test = scaler(x_train, x_valid, x_test, colnames)$x_test
x_valid = scaler(x_train, x_valid, x_test, colnames)$x_valid

UBC-MDS/PrepR documentation built on April 2, 2020, 3:55 a.m.