Class AllSamplerConfigurator<U>
java.lang.Object
es.uam.eps.ir.relison.grid.links.recommendation.sampling.AllSamplerConfigurator<U>
- Type Parameters:
U
- type of the users.
- All Implemented Interfaces:
IndividualSamplingAlgorithmConfigurator<U>
public class AllSamplerConfigurator<U> extends java.lang.Object implements IndividualSamplingAlgorithmConfigurator<U>
Class for configuring a sampling approach which takes all nodes.
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Constructor Summary
Constructors Constructor Description AllSamplerConfigurator()
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Method Summary
Modifier and Type Method Description org.jooq.lambda.tuple.Tuple2<java.lang.String,IndividualSamplerFunction<U>>
grid(Parameters params)
Obtains a function for obtaining an individual sampling algorithm.org.jooq.lambda.tuple.Tuple2<java.lang.String,IndividualSampler<U>>
grid(Parameters params, FastGraph<U> trainGraph, FastGraph<U> testGraph, es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData<U,U> prefData)
Obtains an individual sampling algorithm.
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Constructor Details
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AllSamplerConfigurator
public AllSamplerConfigurator()
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Method Details
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grid
public org.jooq.lambda.tuple.Tuple2<java.lang.String,IndividualSampler<U>> grid(Parameters params, FastGraph<U> trainGraph, FastGraph<U> testGraph, es.uam.eps.ir.ranksys.fast.preference.FastPreferenceData<U,U> prefData)Description copied from interface:IndividualSamplingAlgorithmConfigurator
Obtains an individual sampling algorithm.- Specified by:
grid
in interfaceIndividualSamplingAlgorithmConfigurator<U>
- Parameters:
params
- the parameter selection for the approach.trainGraph
- the original graph.testGraph
- a test graph to consider when sampling.prefData
- the training preference data.- Returns:
- a pair containing the name of the algorithm and the configured algorithm.
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grid
public org.jooq.lambda.tuple.Tuple2<java.lang.String,IndividualSamplerFunction<U>> grid(Parameters params)Description copied from interface:IndividualSamplingAlgorithmConfigurator
Obtains a function for obtaining an individual sampling algorithm.- Specified by:
grid
in interfaceIndividualSamplingAlgorithmConfigurator<U>
- Parameters:
params
- the sampling parameters.- Returns:
- a pair containing the name of the algorithm and a function for obtaining the configured algorithm.
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