phi: Obtain the relevance of data points

In nunompmoniz/IRon: Solving Imbalanced Regression Tasks

Obtain the relevance of data points

Description

The phi function retrieves the relevance value of the values in a target variable. It does so by resorting to the Piecewise Cubic Hermite Interpolation Polynomial method for interpolating over a set of maximum and minimum relevance points. The notion of relevance is associated with rarity.Nonetheless, this notion may depend on the domain experts knowledge

Usage

phi(y, phi.parms = NULL)

Arguments

y	The target variable of a given data set
phi.parms	The relevance function providing the data points where the pairs of values-relevance are known

Value

A vector with the relevance values of a given target variable

Examples

library(IRon)
data(accel)

ind <- sample(1:nrow(accel),0.75*nrow(accel))

train <- accel[ind,]
test <- accel[-ind,]

ph <- phi.control(train$acceleration)
phis <- phi(test$acceleration,phi.parms=ph)

plot(test$acceleration,phis,xlab="Y",ylab="Relevance")

nunompmoniz/IRon documentation built on April 24, 2023, 1:20 p.m.