Uses of Interface
org.apache.mahout.clustering.dirichlet.models.Model

Packages that use Model
org.apache.mahout.clustering.dirichlet   
org.apache.mahout.clustering.dirichlet.models   
 

Uses of Model in org.apache.mahout.clustering.dirichlet
 

Methods in org.apache.mahout.clustering.dirichlet that return Model
 Model<?> JsonModelAdapter.deserialize(com.google.gson.JsonElement json, java.lang.reflect.Type typeOfT, com.google.gson.JsonDeserializationContext context)
           
 Model<O> DirichletCluster.getModel()
           
 Model<O>[] DirichletState.getModels()
           
 Model<VectorWritable>[] DirichletReducer.getNewModels()
           
static
<O> Model<O>
DirichletCluster.readModel(java.io.DataInput in)
          Reads a typed Model instance from the input stream
 

Methods in org.apache.mahout.clustering.dirichlet with parameters of type Model
 com.google.gson.JsonElement JsonModelAdapter.serialize(Model<?> src, java.lang.reflect.Type typeOfSrc, com.google.gson.JsonSerializationContext context)
           
 void DirichletCluster.setModel(Model<O> model)
           
 void DirichletState.update(Model<O>[] newModels)
          Update the receiver with the new models
static void DirichletCluster.writeModel(java.io.DataOutput out, Model<?> model)
          Writes a typed Model instance to the output stream
 

Constructors in org.apache.mahout.clustering.dirichlet with parameters of type Model
DirichletCluster(Model<O> model)
           
DirichletCluster(Model<O> model, double totalCount)
           
 

Uses of Model in org.apache.mahout.clustering.dirichlet.models
 

Classes in org.apache.mahout.clustering.dirichlet.models that implement Model
 class AsymmetricSampledNormalModel
           
 class L1Model
           
 class NormalModel
           
 class SampledNormalModel
           
 

Methods in org.apache.mahout.clustering.dirichlet.models that return Model
 Model<O>[] ModelDistribution.sampleFromPosterior(Model<O>[] posterior)
          Return a list of models sampled from the posterior
 Model<VectorWritable>[] SampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] NormalModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] L1ModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] AsymmetricSampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] SampledNormalDistribution.sampleFromPrior(int howMany)
           
 Model<VectorWritable>[] NormalModelDistribution.sampleFromPrior(int howMany)
           
 Model<O>[] ModelDistribution.sampleFromPrior(int howMany)
          Return a list of models sampled from the prior
 Model<VectorWritable>[] L1ModelDistribution.sampleFromPrior(int howMany)
           
 Model<VectorWritable>[] AsymmetricSampledNormalDistribution.sampleFromPrior(int howMany)
           
 

Methods in org.apache.mahout.clustering.dirichlet.models with parameters of type Model
 Model<O>[] ModelDistribution.sampleFromPosterior(Model<O>[] posterior)
          Return a list of models sampled from the posterior
 Model<VectorWritable>[] SampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] NormalModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] L1ModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 Model<VectorWritable>[] AsymmetricSampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
           
 



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