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java.lang.Objectcc.mallet.cluster.iterator.NeighborIterator
cc.mallet.cluster.iterator.PairSampleIterator
cc.mallet.cluster.iterator.ClusterSampleIterator
cc.mallet.cluster.iterator.NodeClusterSampleIterator
public class NodeClusterSampleIterator
Samples merges of a singleton cluster with another (possibly non-singleton) cluster.
PairSampleIterator, NeighborIterator| Field Summary |
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| Fields inherited from class cc.mallet.cluster.iterator.PairSampleIterator |
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instances, nonsingletonClusters, numberSamples, positiveCount, positiveProportion, positiveTarget, random, totalCount |
| Fields inherited from class cc.mallet.cluster.iterator.NeighborIterator |
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clustering |
| Constructor Summary | |
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NodeClusterSampleIterator(Clustering clustering,
Randoms random,
double positiveProportion,
int numberSamples)
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| Method Summary | |
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Instance |
next()
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| Methods inherited from class cc.mallet.cluster.iterator.ClusterSampleIterator |
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sampleFromArray, sampleSplitFromArray |
| Methods inherited from class cc.mallet.cluster.iterator.PairSampleIterator |
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hasNext |
| Methods inherited from class cc.mallet.cluster.iterator.NeighborIterator |
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getClustering, remove |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
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public NodeClusterSampleIterator(Clustering clustering,
Randoms random,
double positiveProportion,
int numberSamples)
clustering - True clustering.random - Source of randomness.positiveProportion - Proportion of Instances that should be positive examples.numberSamples - Total number of samples to generate.| Method Detail |
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public Instance next()
next in interface java.util.Iterator<Instance>next in class ClusterSampleIterator
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