TestLayer: TestLayer Class

In fuseMLR: Fusing Machine Learning in R

TestLayer Class

Description

This class implements a layer. A TestLayer object can only exist as a component of a Predicting object.

A predicted layer can only contain TestData.

Super class

fuseMLR::HashTable -> TestLayer

Methods

Public methods

• TestLayer$new()

• TestLayer$print()

• TestLayer$getTesting()

• TestLayer$getIndIDs()

• TestLayer$getTestData()

• TestLayer$checkTestDataExist()

• TestLayer$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

TestLayer$new(id, testing)

Arguments

id

character
Testing layer id.

testing

Testing

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Method print()

Printer

Usage

TestLayer$print(...)

Arguments

...

any

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Method getTesting()

Getter of the current Testing object.

Usage

TestLayer$getTesting()

Returns

The current Testing object is returned.

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Method getIndIDs()

Getter of IDS from the current layer.

Usage

TestLayer$getIndIDs()

Returns

A data.frame containing individuals IDs values.

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Method getTestData()

Getter of the predicted data stored on the current layer.

Usage

TestLayer$getTestData()

Returns

The stored TestData object is returned.

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Method checkTestDataExist()

Check whether a new data has been already stored.

Usage

TestLayer$checkTestDataExist()

Returns

Boolean value

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Method summary()

Generate summary.

Usage

TestLayer$summary()

See Also

Training, Lrner, TrainData, TestData and Model

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