LOCO Class

LOCO Class

LOCO Class

Details

Calculates Leave-One-Covariate-Out (LOCO) scores.

Super class

xplainfi::FeatureImportanceLearner -> LOCO

Methods

Public methods

• LOCO$new()

• LOCO$compute()

• LOCO$clone()

Inherited methods

• xplainfi::FeatureImportanceLearner$combine()
• xplainfi::FeatureImportanceLearner$print()

---

Method new()

Creates a new instance of this R6 class.

Usage

LOCO$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

LOCO$compute(relation = c("difference", "ratio"), store_backends = TRUE)

Arguments

relation

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

store_backends

(logical(1): TRUE) Passed to mlr3::resample to store backends in resample result. Required for some measures, but may increase memory footprint.

---

Method clone()

The objects of this class are cloneable with this method.

Usage

LOCO$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

Examples

library(mlr3)

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

loco$compute()
#> Key: <feature>
#>      feature importance
#>       <char>      <num>
#>  1: airborne          0
#>  2:  aquatic          0
#>  3: backbone          0
#>  4: breathes          0
#>  5:  catsize          0
#>  6: domestic          0
#>  7:     eggs          0
#>  8: feathers          0
#>  9:     fins          0
#> 10:     hair          0
#> 11:     legs          0
#> 12:     milk          0
#> 13: predator          0
#> 14:     tail          0
#> 15:  toothed          0
#> 16: venomous          0