com.datumbox.framework.core.machinelearning.clustering

Class MultinomialDPMM

java.lang.Object

com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler<MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractClusterer<CL,MP,TP>

com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractDPMM<MultinomialDPMM.Cluster,MultinomialDPMM.ModelParameters,MultinomialDPMM.TrainingParameters>

com.datumbox.framework.core.machinelearning.clustering.MultinomialDPMM

All Implemented Interfaces:

Savable, Parallelizable, PredictParallelizable, Trainable<MultinomialDPMM.ModelParameters,MultinomialDPMM.TrainingParameters>, java.lang.AutoCloseable

public class MultinomialDPMM
extends AbstractDPMM<MultinomialDPMM.Cluster,MultinomialDPMM.ModelParameters,MultinomialDPMM.TrainingParameters>

The MultinomialDPMM implements Dirichlet Process Mixture Models with Multinomial and Dirichlet priors. References: http://blog.datumbox.com/overview-of-cluster-analysis-and-dirichlet-process-mixture-models/ http://blog.datumbox.com/clustering-documents-and-gaussian-data-with-dirichlet-process-mixture-models/ http://web.science.mq.edu.au/~mjohnson/papers/Johnson11MLSS-talk-extras.pdf https://web.archive.org/web/20100119210345/http://cog.brown.edu/~mj/classes/cg168/slides/ChineseRestaurants.pdf

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	MultinomialDPMM.Cluster The AbstractCluster class of the MultinomialDPMM model.
static class	MultinomialDPMM.ModelParameters Base class for every ModelParameter class in the framework.
static class	MultinomialDPMM.TrainingParameters The AbstractTrainingParameters class stores the parameters that can be changed before training the algorithm.

Nested classes/interfaces inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractDPMM

AbstractDPMM.AbstractCluster, AbstractDPMM.AbstractModelParameters<CL extends AbstractDPMM.AbstractCluster>, AbstractDPMM.AbstractTrainingParameters

Nested classes/interfaces inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.PredictParallelizable

PredictParallelizable.Prediction

Method Summary

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.algorithms.AbstractDPMM

_predictRecord, isParallelized, setParallelized

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractClusterer

getClusters

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.modelers.AbstractModeler

predict

Methods inherited from class com.datumbox.framework.core.machinelearning.common.abstracts.AbstractTrainer

close, delete, fit, getModelParameters, getTrainingParameters, save

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Methods inherited from interface com.datumbox.framework.core.machinelearning.common.interfaces.PredictParallelizable

_predictDatasetParallel, _predictDatasetParallel