ContextBatchFSelect: Evaluation Context

In mlr3fselect: Feature Selection for 'mlr3'

Evaluation Context

Description

The ContextBatchFSelect allows CallbackBatchFSelects to access and modify data while a batch of feature sets is evaluated. See the section on active bindings for a list of modifiable objects. See callback_batch_fselect() for a list of stages that access ContextBatchFSelect.

Details

This context is re-created each time a new batch of feature sets is evaluated. Changes to ⁠$objective_fselect⁠, ⁠$design⁠ ⁠$benchmark_result⁠ are discarded after the function is finished. Modification on the data table in ⁠$aggregated_performance⁠ are written to the archive. Any number of columns can be added.

Super classes

mlr3misc::Context -> bbotk::ContextBatch -> ContextBatchFSelect

Public fields

auto_fselector

(AutoFSelector)
The AutoFSelector instance.

Active bindings

xss

(list())
The feature sets of the latest batch.

design

(data.table::data.table)
The benchmark design of the latest batch.

benchmark_result

(mlr3::BenchmarkResult)
The benchmark result of the latest batch.

aggregated_performance

(data.table::data.table)
Aggregated performance scores and training time of the latest batch. This data table is passed to the archive. A callback can add additional columns which are also written to the archive.

Methods

Public methods

• ContextBatchFSelect$clone()

Inherited methods

• mlr3misc::Context$format()
• mlr3misc::Context$print()
• bbotk::ContextBatch$initialize()

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Method clone()

The objects of this class are cloneable with this method.

Usage

ContextBatchFSelect$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

mlr3fselect documentation built on Oct. 30, 2024, 9:19 a.m.