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Packages that use Model | |
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org.apache.mahout.clustering.dirichlet | |
org.apache.mahout.clustering.dirichlet.models |
Uses of Model in org.apache.mahout.clustering.dirichlet |
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Methods in org.apache.mahout.clustering.dirichlet that return Model | ||
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Model<?> |
JsonModelAdapter.deserialize(com.google.gson.JsonElement json,
java.lang.reflect.Type typeOfT,
com.google.gson.JsonDeserializationContext context)
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Model<O> |
DirichletCluster.getModel()
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Model<O>[] |
DirichletState.getModels()
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Model<VectorWritable>[] |
DirichletReducer.getNewModels()
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static
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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 | |
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com.google.gson.JsonElement |
JsonModelAdapter.serialize(Model<?> src,
java.lang.reflect.Type typeOfSrc,
com.google.gson.JsonSerializationContext context)
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void |
DirichletCluster.setModel(Model<O> model)
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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 | |
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DirichletCluster(Model<O> model)
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DirichletCluster(Model<O> model,
double totalCount)
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Uses of Model in org.apache.mahout.clustering.dirichlet.models |
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Classes in org.apache.mahout.clustering.dirichlet.models that implement Model | |
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class |
AsymmetricSampledNormalModel
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class |
L1Model
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class |
NormalModel
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class |
SampledNormalModel
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Methods in org.apache.mahout.clustering.dirichlet.models that return Model | |
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Model<O>[] |
ModelDistribution.sampleFromPosterior(Model<O>[] posterior)
Return a list of models sampled from the posterior |
Model<VectorWritable>[] |
SampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
NormalModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
L1ModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
AsymmetricSampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
SampledNormalDistribution.sampleFromPrior(int howMany)
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Model<VectorWritable>[] |
NormalModelDistribution.sampleFromPrior(int howMany)
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Model<O>[] |
ModelDistribution.sampleFromPrior(int howMany)
Return a list of models sampled from the prior |
Model<VectorWritable>[] |
L1ModelDistribution.sampleFromPrior(int howMany)
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Model<VectorWritable>[] |
AsymmetricSampledNormalDistribution.sampleFromPrior(int howMany)
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Methods in org.apache.mahout.clustering.dirichlet.models with parameters of type Model | |
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Model<O>[] |
ModelDistribution.sampleFromPosterior(Model<O>[] posterior)
Return a list of models sampled from the posterior |
Model<VectorWritable>[] |
SampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
NormalModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
L1ModelDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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Model<VectorWritable>[] |
AsymmetricSampledNormalDistribution.sampleFromPosterior(Model<VectorWritable>[] posterior)
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