VotingStrategy: Voting Strategy template.

In D2MCS: Data Driving Multiple Classifier System

Voting Strategy template.

Description

Abstract class used to define new SingleVoting and CombinedVoting schemes.

Methods

Public methods

• VotingStrategy$new()

• VotingStrategy$getVotingSchemes()

• VotingStrategy$getMetrics()

• VotingStrategy$execute()

• VotingStrategy$getName()

• VotingStrategy$clone()

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Method new()

Abstract method used to initialize the object arguments during runtime.

Usage

VotingStrategy$new()

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Method getVotingSchemes()

The function returns the voting schemes that will participate in the voting strategy.

Usage

VotingStrategy$getVotingSchemes()

Returns

A vector of object inheriting from VotingStrategy class.

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Method getMetrics()

The function is used to get the metric that will be used during the voting strategy.

Usage

VotingStrategy$getMetrics()

Returns

A character vector.

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Method execute()

Abstract function used to implement the operation of the voting schemes.

Usage

VotingStrategy$execute(predictions, ...)

Arguments

predictions

A ClusterPredictions object containing the prediction achieved for each cluster.

...

Further arguments passed down to execute function.

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Method getName()

The function returns the name of the voting scheme.

Usage

VotingStrategy$getName()

Returns

A character vector of size 1.

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Method clone()

The objects of this class are cloneable with this method.

Usage

VotingStrategy$clone(deep = FALSE)

Arguments

deep

Whether to make a deep clone.

See Also

D2MCS, SingleVoting, CombinedVoting

D2MCS documentation built on Aug. 23, 2022, 5:07 p.m.