Xgboost Auto

Xgboost auto.

Super class

mlr3automl::Auto -> AutoXgboost

Methods

Public methods

• AutoXgboost$new()

• AutoXgboost$graph()

• AutoXgboost$finalize_model()

• AutoXgboost$estimate_memory()

• AutoXgboost$internal_measure()

• AutoXgboost$clone()

Inherited methods

• mlr3automl::Auto$check()
• mlr3automl::Auto$design_default()
• mlr3automl::Auto$design_set()
• mlr3automl::Auto$early_stopping_rounds()
• mlr3automl::Auto$search_space()

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Method new()

Creates a new instance of this R6 class.

Usage

AutoXgboost$new(id = "xgboost")

Arguments

id

(character(1))
Identifier for the new instance.

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Method graph()

Create the graph for the auto.

Usage

AutoXgboost$graph(task, measure, n_threads, timeout, devices)

Arguments

task

(mlr3::Task).

measure

(mlr3::Measure).

n_threads

(integer(1)).

timeout

(integer(1)).

devices

(character())
Devices to use. Allowed values are "cpu" and "cuda". Default is "cpu".

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Method finalize_model()

Prepare the graph learner for the final model fit.

Usage

AutoXgboost$finalize_model(graph_learner)

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Method estimate_memory()

Estimate the memory for the auto.

Usage

AutoXgboost$estimate_memory(task)

Arguments

task

(mlr3::Task).

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Method internal_measure()

Get the internal measure for the auto.

Usage

AutoXgboost$internal_measure(measure, task)

Arguments

measure

(mlr3::Measure).

task

(mlr3::Task).

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Method clone()

The objects of this class are cloneable with this method.

Usage

AutoXgboost$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.