Feature Sampler Class

Base class for implementing different sampling strategies for feature importance methods like PFI and CFI

Public fields

task

(mlr3::Task) Original task.

label

(character(1)) Name of the sampler.

param_set

(paradox::ParamSet) Parameter set for the sampler.

Methods

Public methods

• FeatureSampler$new()

• FeatureSampler$sample()

• FeatureSampler$clone()

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Method new()

Creates a new instance of the FeatureSampler class

Usage

FeatureSampler$new(task)

Arguments

task

(mlr3::Task) Task to sample from

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Method sample()

Sample values for feature(s)

Usage

FeatureSampler$sample(feature, data)

Arguments

feature

(character) Feature name(s) to sample (can be single or multiple)

data

(data.table ) Data to use for sampling context

Returns

Modified copy of the input data with the feature(s) sampled

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Method clone()

The objects of this class are cloneable with this method.

Usage

FeatureSampler$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.