org.apache.mahout.clustering.dirichlet.models
Class AsymmetricSampledNormalDistribution

java.lang.Object
  extended by org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
      extended by org.apache.mahout.clustering.dirichlet.models.AsymmetricSampledNormalDistribution
All Implemented Interfaces:
ModelDistribution<VectorWritable>

public class AsymmetricSampledNormalDistribution
extends AbstractVectorModelDistribution

An implementation of the ModelDistribution interface suitable for testing the DirichletCluster algorithm. Uses a Normal Distribution to sample the prior model values. Model values have a vector standard deviation, allowing assymetrical regions to be covered by a model.


Field Summary
 
Fields inherited from class org.apache.mahout.clustering.dirichlet.models.AbstractVectorModelDistribution
MODEL_DISTRIBUTION_TYPE
 
Constructor Summary
AsymmetricSampledNormalDistribution()
           
AsymmetricSampledNormalDistribution(VectorWritable modelPrototype)
           
 
Method Summary
 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.AbstractVectorModelDistribution
asJsonString, getModelPrototype, setModelPrototype
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Constructor Detail

AsymmetricSampledNormalDistribution

public AsymmetricSampledNormalDistribution()

AsymmetricSampledNormalDistribution

public AsymmetricSampledNormalDistribution(VectorWritable modelPrototype)
Method Detail

sampleFromPrior

public Model<VectorWritable>[] sampleFromPrior(int howMany)
Description copied from interface: ModelDistribution
Return a list of models sampled from the prior

Parameters:
howMany - the int number of models to return
Returns:
a Model[] representing what is known apriori

sampleFromPosterior

public Model<VectorWritable>[] sampleFromPosterior(Model<VectorWritable>[] posterior)
Description copied from interface: ModelDistribution
Return a list of models sampled from the posterior

Parameters:
posterior - the Model[] after observations
Returns:
a Model[] representing what is known apriori


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