transform_response: Transform machine learning response variable

In pipeliner: Machine Learning Pipelines for R

Description

A function that takes as its arguement another function defining a response variable transformation, and wraps (or adapts) it for use within a machine learning pipeline.

Usage

transform_response(.f)

Arguments

.f	A unary function of a data.frame that returns a new data.frame containing only the transformed response variable. An error will be thrown if this is not the case.

Value

A unary function of a data.frame that returns the input data.frame with the transformed response variable column appended. This function is assigned the classes "transform_response" and "ml_pipeline_section".

Examples

data <- head(faithful)
f <- transform_response(function(df) {
  data.frame(y = (df$eruptions - mean(df$eruptions)) / sd(df$eruptions))
})

f(data)
#   eruptions waiting         y
# 1     3.600      79  0.5412808
# 2     1.800      54 -1.3039946
# 3     3.333      74  0.2675649
# 4     2.283      62 -0.8088457
# 5     4.533      85  1.4977485
# 6     2.883      55 -0.1937539

pipeliner documentation built on May 1, 2019, 6:49 p.m.