ContextResample: Resample Context

In mlr3: Machine Learning in R - Next Generation

Resample Context

Description

A CallbackResample accesses and modifies data during resample() and benchmark() via the ContextResample. See the section on fields for a list of modifiable objects. See callback_resample() for a list of stages that access ContextResample.

Super class

mlr3misc::Context -> ContextResample

Active bindings

task

(Task)
The task to be evaluated. The task is unchanged during the evaluation. The task is read-only.

learner

(Learner)
The learner to be evaluated. The learner contains the models after stage on_resample_before_train.

resampling

Resampling
The resampling strategy to be used. The resampling is unchanged during the evaluation. The resampling is read-only.

iteration

(integer())
The current iteration. The iteration is read-only.

pdatas

(List of PredictionData)
The prediction data. The data is available on stage on_resample_end.

data_extra

(list())
Data saved in the ResampleResult or BenchmarkResult. Use this field to save results. Must be a list().

Methods

Public methods

• ContextResample$new()

• ContextResample$clone()

Inherited methods

• mlr3misc::Context$format()
• mlr3misc::Context$print()

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Method new()

Creates a new instance of this R6 class.

Usage

ContextResample$new(task, learner, resampling, iteration)

Arguments

task

(Task)
The task to be evaluated.

learner

(Learner)
The learner to be evaluated.

resampling

(Resampling)
The resampling strategy to be used.

iteration

(integer())
The current iteration.

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Method clone()

The objects of this class are cloneable with this method.

Usage

ContextResample$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

mlr3 documentation built on April 4, 2025, 5:08 a.m.