Encapsulate a Learner as a Forecast Learner

The ForecastLearner wraps a mlr3::Learner.

Super class

mlr3::Learner -> ForecastLearner

Active bindings

learner

(mlr3::Learner)
The wrapped learner.

lags

(integer())
The lags to create.

param_set

(paradox::ParamSet)
Set of hyperparameters.

Methods

Public methods

• ForecastLearner$new()

• ForecastLearner$print()

• ForecastLearner$clone()

Inherited methods

• mlr3::Learner$base_learner()
• mlr3::Learner$configure()
• mlr3::Learner$encapsulate()
• mlr3::Learner$format()
• mlr3::Learner$help()
• mlr3::Learner$predict()
• mlr3::Learner$predict_newdata()
• mlr3::Learner$reset()
• mlr3::Learner$selected_features()
• mlr3::Learner$train()

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Method new()

Creates a new instance of this R6 class.

Usage

ForecastLearner$new(learner, lags)

Arguments

learner

(mlr3::Learner)
The regression learner to wrap.

lags

(integer())
The lag values to use for creating lag features.

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Method print()

Printer.

Usage

ForecastLearner$print()

Arguments

...

(ignored).

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Method clone()

The objects of this class are cloneable with this method.

Usage

ForecastLearner$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.