TestData: TestData Class

In fuseMLR: Fusing Machine Learning in R

TestData Class

Description

This class implements TestData object to be predicted. A TestData object can only exist as a component of a TestLayer or a TestMetaLayer object.

Super class

fuseMLR::Data -> TestData

Methods

Public methods

• TestData$new()

• TestData$print()

• TestData$getData()

• TestData$getTestLayer()

• TestData$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()
• fuseMLR::Data$setDataFrame()

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Method new()

Initialize a new object from the current class.

Usage

TestData$new(id, data_frame, new_layer)

Arguments

id

character
Object ID.

data_frame

data.frame
data.frame containing data.

new_layer

TestLayer
Layer where to store the current object.

ind_col

character
Column name containing individual IDs.

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Method print()

Printer

Usage

TestData$print(...)

Arguments

...

any

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Method getData()

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

Usage

TestData$getData()

Returns

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

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Method getTestLayer()

Getter of the current layer.

Usage

TestData$getTestLayer()

Returns

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

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Method clone()

The objects of this class are cloneable with this method.

Usage

TestData$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

TrainData

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