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java.lang.Objectorg.apache.mahout.clustering.dirichlet.models.VectorModelDistribution
org.apache.mahout.clustering.dirichlet.models.NormalModelDistribution
org.apache.mahout.clustering.dirichlet.models.SampledNormalDistribution
public class SampledNormalDistribution
An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm. Uses a Normal Distribution to sample the prior model values.
Constructor Summary | |
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SampledNormalDistribution()
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SampledNormalDistribution(VectorWritable modelPrototype)
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Method Summary | |
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Model<VectorWritable>[] |
sampleFromPosterior(Model<VectorWritable>[] posterior)
Return a list of models sampled from the posterior |
Model<VectorWritable>[] |
sampleFromPrior(int howMany)
Return a list of models sampled from the prior |
Methods inherited from class org.apache.mahout.clustering.dirichlet.models.VectorModelDistribution |
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getModelPrototype, setModelPrototype |
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 SampledNormalDistribution()
public SampledNormalDistribution(VectorWritable modelPrototype)
Method Detail |
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public Model<VectorWritable>[] sampleFromPrior(int howMany)
ModelDistribution
sampleFromPrior
in interface ModelDistribution<VectorWritable>
sampleFromPrior
in class NormalModelDistribution
howMany
- the int number of models to return
public Model<VectorWritable>[] sampleFromPosterior(Model<VectorWritable>[] posterior)
ModelDistribution
sampleFromPosterior
in interface ModelDistribution<VectorWritable>
sampleFromPosterior
in class NormalModelDistribution
posterior
- the Model
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