Package cc.mallet.cluster.iterator
Class NodeClusterSampleIterator
- java.lang.Object
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- cc.mallet.cluster.iterator.NeighborIterator
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- cc.mallet.cluster.iterator.PairSampleIterator
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- cc.mallet.cluster.iterator.ClusterSampleIterator
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- cc.mallet.cluster.iterator.NodeClusterSampleIterator
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- All Implemented Interfaces:
java.util.Iterator<Instance>
public class NodeClusterSampleIterator extends ClusterSampleIterator
Samples merges of a singleton cluster with another (possibly non-singleton) cluster.- Since:
- 1.0
- Version:
- 1.0
- Author:
- "Aron Culotta"
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Field Summary
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Fields inherited from class cc.mallet.cluster.iterator.PairSampleIterator
instances, nonsingletonClusters, numberSamples, positiveCount, positiveProportion, positiveTarget, random, totalCount
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Fields inherited from class cc.mallet.cluster.iterator.NeighborIterator
clustering
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Constructor Summary
Constructors Constructor Description NodeClusterSampleIterator(Clustering clustering, Randoms random, double positiveProportion, int numberSamples)
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Method Summary
All Methods Instance Methods Concrete Methods Modifier and Type Method Description Instance
next()
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Methods inherited from class cc.mallet.cluster.iterator.ClusterSampleIterator
sampleFromArray, sampleSplitFromArray
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Methods inherited from class cc.mallet.cluster.iterator.PairSampleIterator
hasNext
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Methods inherited from class cc.mallet.cluster.iterator.NeighborIterator
getClustering, remove
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Constructor Detail
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NodeClusterSampleIterator
public NodeClusterSampleIterator(Clustering clustering, Randoms random, double positiveProportion, int numberSamples)
- Parameters:
clustering
- True clustering.random
- Source of randomness.positiveProportion
- Proportion of Instances that should be positive examples.numberSamples
- Total number of samples to generate.
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Method Detail
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next
public Instance next()
- Specified by:
next
in interfacejava.util.Iterator<Instance>
- Overrides:
next
in classClusterSampleIterator
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