PFI Class

PFI Class

PFI Class

Details

Calculates Permutation Feature Importance (PFI) scores.

Super class

xplainvi::FeatureImportanceLearner -> PFI

Methods

Public methods

• PFI$new()

• PFI$compute()

• PFI$clone()

Inherited methods

• xplainvi::FeatureImportanceLearner$print()

---

Method new()

Creates a new instance of this R6 class.

Usage

PFI$new(task, learner, measure, resampling = NULL, features = NULL)

Arguments

task, learner, measure, resampling, features

Passed to FeatureImportanceLearner for construction.

---

Method compute()

A short description...

Usage

PFI$compute(relation = c("difference", "ratio"))

Arguments

relation

(character(1)) Calculate "difference" (default) or "ratio" of original scores and scores after permutation

---

Method clone()

The objects of this class are cloneable with this method.

Usage

PFI$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

library(mlr3)

pfi = PFI$new(
  task = tsk("zoo"),
  learner = lrn("classif.rpart"),
  measure = msr("classif.ce")
)

pfi$compute()
#>   airborne    aquatic   backbone   breathes    catsize   domestic       eggs 
#> 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 0.00000000 
#>   feathers       fins       hair       legs       milk   predator       tail 
#> 0.14705882 0.08823529 0.00000000 0.00000000 0.47058824 0.00000000 0.00000000 
#>    toothed   venomous 
#> 0.00000000 0.00000000