inverse.transform-methods: inverse.transform transforms an integer vector back to the...

In CatEncoders: Encoders for Categorical Variables

Description

inverse.transform transforms an integer vector back to the original vector

Usage

inverse.transform(enc, z)

## S4 method for signature 'LabelEncoder,numeric'
inverse.transform(enc, z)

Arguments

enc	A fitted LabelEncoder
z	A vector of integers

Value

A vector of characters, factors or numerics.

Examples

# character vector y
y <- c('a','d','e',NA)
lenc <- LabelEncoder.fit(y)
# new values are transformed to NA
z <- transform(lenc,c('d','d',NA,'f'))
print(z)
inverse.transform(lenc,z)

# factor vector y
y <- factor(c('a','d','e',NA),exclude=NULL)
lenc <- LabelEncoder.fit(y)
# new values are transformed to NA
z <- transform(lenc,factor(c('a','d',NA,'f')))
inverse.transform(lenc,z)

# numeric vector y
set.seed(123)
y <- c(1:10,NA)
lenc <- LabelEncoder.fit(y)
# new values are transformed to NA
newy <- sample(c(1:10,NA),5)
print(newy)
z <-transform(lenc,newy)
inverse.transform(lenc, z)

Example output

Attaching package: 'CatEncoders'

The following object is masked from 'package:base':

    transform

[1]  3  3  1 NA
[1] "d" "d" NA  NA 
[1] a    d    <NA> <NA>
Levels: a d e <NA>
[1]  4  8 NA 10  7
[1]  4  8 NA 10  7

CatEncoders documentation built on May 1, 2019, 6:29 p.m.