TrainData: TrainData Class

In fuseMLR: Fusing Machine Learning in R

TrainData Class

Description

This class implements the training data. A TrainData object can only exist as a component of a TrainLayer or a TrainMetaLayer object.

Super class

fuseMLR::Data -> TrainData

Methods

Public methods

• TrainData$new()

• TrainData$print()

• TrainData$summary()

• TrainData$getData()

• TrainData$getTargetValues()

• TrainData$getTargetName()

• TrainData$getTrainLayer()

• TrainData$getTestLayer()

• TrainData$setDataFrame()

• TrainData$clone()

Inherited methods

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

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Method new()

Initialize a new object from the current class.

Usage

TrainData$new(id, data_frame, train_layer)

Arguments

id

character
The Object ID.

data_frame

data.frame
data.frame containing data.

train_layer

TrainLayer
Training layer where to store the current object.

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Method print()

Printer

Usage

TrainData$print(...)

Arguments

...

any

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Method summary()

Summary

Usage

TrainData$summary(...)

Arguments

...

any

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Method getData()

Getter of the current data.frame wihtout individual ID nor target variables.

Usage

TrainData$getData()

Returns

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

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Method getTargetValues()

Getter of target values stored on the current training layer.

Usage

TrainData$getTargetValues()

Returns

The observed target values stored on the current training layer are returned.

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Method getTargetName()

Getter of the target variable name.

Usage

TrainData$getTargetName()

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Method getTrainLayer()

Getter of the current training layer.

Usage

TrainData$getTrainLayer()

Returns

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

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Method getTestLayer()

Getter of the current layer.

Usage

TrainData$getTestLayer()

Returns

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

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Method setDataFrame()

Set a new data.frame to the current object.

Usage

TrainData$setDataFrame(data_frame)

Arguments

data_frame

data.frame

Returns

The current object is returned.

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Method clone()

The objects of this class are cloneable with this method.

Usage

TrainData$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

TrainLayer, Lrner, Model, TestData

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