PredictData: PredictData Class

In fuseMLR: Fusing Machine Learning in R

PredictData Class

Description

This class implements PredictData object to be predicted. A PredictData object can only exist as a component of a PredictLayer or a PredictMetaLayer object.

Super class

fuseMLR::Data -> PredictData

Methods

Public methods

• PredictData$new()

• PredictData$print()

• PredictData$getPredictData()

• PredictData$getPredictLayer()

• PredictData$setPredictLayer()

• PredictData$clone()

Inherited methods

• fuseMLR::Data$getCompleteData()
• fuseMLR::Data$getData()
• fuseMLR::Data$getDataFrame()
• fuseMLR::Data$getId()
• fuseMLR::Data$getIndCol()
• fuseMLR::Data$getIndSubset()
• fuseMLR::Data$getSetDiff()
• fuseMLR::Data$getVarSubset()
• fuseMLR::Data$impute()
• fuseMLR::Data$setDataFrame()

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Method new()

Initialize a new object from the current class.

Usage

PredictData$new(id, ind_col, data_frame)

Arguments

id

character
Object ID.

ind_col

character
Column name containing individual IDs.

data_frame

data.frame
data.frame containing data.

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Method print()

Printer

Usage

PredictData$print(...)

Arguments

...

any

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Method getPredictData()

Getter of the current predicted data.frame wihtout individual ID variable.

Usage

PredictData$getPredictData()

Returns

The data.frame without individual ID nor target variables is returned.

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Method getPredictLayer()

Getter of the current layer.

Usage

PredictData$getPredictLayer()

Returns

The layer (from class PredictLayer) on which the current train data are stored is returned.

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Method setPredictLayer()

Assigns a predicted layer to the predicted data.

Usage

PredictData$setPredictLayer(predict_layer)

Arguments

predict_layer

PredictLayer(1)

Returns

The current object

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Method clone()

The objects of this class are cloneable with this method.

Usage

PredictData$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

TrainData, TestData

fuseMLR documentation built on April 3, 2025, 8:49 p.m.