Forecast Regression Measure

Forecast Regression Measure

Forecast Regression Measure

See also

• Chapter in the mlr3book: https://mlr3book.mlr-org.com/basics.html#train-predict

• Package mlr3measures for the scoring functions. Dictionary of Measures: mlr_measures as.data.table(mlr_measures) for a table of available Measures in the running session (depending on the loaded packages).

• Extension packages for additional task types:

  • mlr3proba for probabilistic supervised regression and survival analysis.

  • mlr3cluster for unsupervised clustering.

Other Measure: MeasureForecast, mlr_measures_forecast.mae, mlr_measures_forecast.mape, mlr_measures_forecast.mse, mlr_measures_forecast.rmse

Super classes

mlr3::Measure -> mlr3temporal::MeasureForecast -> MeasureForecastRegr

Public fields

measure_regr

(Measure)
Measure(s) to calculate.

Methods

Public methods

• MeasureForecastRegr$new()

• MeasureForecastRegr$clone()

Inherited methods

• mlr3::Measure$aggregate()
• mlr3::Measure$format()
• mlr3::Measure$help()
• mlr3::Measure$print()
• mlr3::Measure$score()

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Method new()

Creates a new instance of this R6 class.

Usage

MeasureForecastRegr$new(id = NULL, measure_regr)

Arguments

id

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

measure_regr

(Measure)
Measure(s) to calculate.

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Method clone()

The objects of this class are cloneable with this method.

Usage

MeasureForecastRegr$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.