Testing: Testing Class

In fuseMLR: Fusing Machine Learning in R

Testing Class

Description

This is a primary classes of fuseMLR. An object from this class is designed to contain multiple layers, but only one new meta layer.

A Testing object is structured as followed:

• TestLayer

• TestMetaLayer

Super class

fuseMLR::HashTable -> Testing

Methods

Public methods

• Testing$new()

• Testing$print()

• Testing$getIndIDs()

• Testing$getTestMetaLayer()

• Testing$getIndCol()

• Testing$getVerbose()

• Testing$getData()

• Testing$upset()

• Testing$summary()

Inherited methods

• fuseMLR::HashTable$add2HashTable()
• fuseMLR::HashTable$checkClassExist()
• fuseMLR::HashTable$getFromHashTable()
• fuseMLR::HashTable$getHashTable()
• fuseMLR::HashTable$getId()
• fuseMLR::HashTable$getKeyClass()
• fuseMLR::HashTable$removeFromHashTable()

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Method new()

constructor

Usage

Testing$new(id, ind_col, verbose = TRUE)

Arguments

id

character
Testing id.

ind_col

character Name of column of individuals IDS in testing data.frame.

verbose

boolean
Warning messages will be displayed if set to TRUE.

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Method print()

Printer

Usage

Testing$print(...)

Arguments

...

any

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Method getIndIDs()

Gather individual IDs from all layer.

Usage

Testing$getIndIDs()

Returns

A data.frame containing individuals IDs.

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Method getTestMetaLayer()

Getter of the meta layer.

Usage

Testing$getTestMetaLayer()

Returns

Object from class TestMetaLayer

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Method getIndCol()

Getter of the individual column name.

Usage

Testing$getIndCol()

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Method getVerbose()

Getter of the verbose setting.

Usage

Testing$getVerbose()

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Method getData()

Retrieve modality-specific prediction data.

Usage

Testing$getData()

Returns

A list containing all (base and meta) models.

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Method upset()

UpSet plot to show an overview of the overlap of individuals across various layers.

Usage

Testing$upset(...)

Arguments

...

any
Further parameters to be passed to the the upset function from package UpSetR.

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Method summary()

Generate testing summary

Usage

Testing$summary()

See Also

TrainLayer

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