mlr_pipeops_multioutunite: PipeOpPredictionMultioutUnite

In mlr-org/mlr3multioutput: Multioutput extension for 'mlr3'

Description

Unite a set of "classif", "regr"' Predictions into a PredictionMultioutput. This PipeOp uses a Multiplicity input, which is created by PipeOpMultiplicityImply or other PipeOps that implicate a Multiplicity.

Note that Multiplicity is currently an experimental feature and the implementation or UI may change.

Format

R6Class inheriting from PipeOpEnsemble/PipeOp.

Input and Output Channels

Input and output channels are inherited from PipeOpEnsemble. Instead of a PipeOpEnsemble's collect parameter is initialized with TRUE to allow for collecting a Multiplicity input.

State

The $state is left empty (list()).

Parameters

The parameters are the parameters inherited from the PipeOpEnsemble.

Internals

Inherits from PipeOpEnsemble by implementing the private$.predict() method.

Should be used in combination with PipeOpSplitMultiOut.

Fields

Only fields inherited from PipeOpEnsemble/PipeOp.

Methods

Only methods inherited from PipeOpEnsemble/PipeOp.

Super classes

mlr3pipelines::PipeOp -> mlr3pipelines::PipeOpEnsemble -> PipeOpPredictionMultioutUnite

Methods

Public methods

• PipeOpPredictionMultioutUnite$new()

• PipeOpPredictionMultioutUnite$clone()

Inherited methods

• mlr3pipelines::PipeOp$predict()

• mlr3pipelines::PipeOp$print()

• mlr3pipelines::PipeOp$train()

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Method new()

Initialize a new R6 class.

Usage

PipeOpPredictionMultioutUnite$new(id = "multioutunite", param_vals = list())

Arguments

id

character(1)
Identifier of the resulting object, defaults to "multioutunite".

param_vals

named list
List of hyperparameter settings, overwriting the hyperparameter settings that would otherwise be set during construction. Default list().

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Method clone()

The objects of this class are cloneable with this method.

Usage

PipeOpPredictionMultioutUnite$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

Other PipeOps: mlr_pipeops_multioutlrn, mlr_pipeops_multioutsplit

Other Multiplicity PipeOps: mlr_pipeops_multioutlrn, mlr_pipeops_multioutsplit

Other Experimental Features: mlr_pipeops_multioutlrn, mlr_pipeops_multioutsplit

mlr-org/mlr3multioutput documentation built on Nov. 22, 2020, 1:17 p.m.