com.datumbox.framework.core.machinelearning.topicmodeling

Class LatentDirichletAllocation

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.AbstractTopicModeler<LatentDirichletAllocation.ModelParameters,LatentDirichletAllocation.TrainingParameters>

com.datumbox.framework.core.machinelearning.topicmodeling.LatentDirichletAllocation

All Implemented Interfaces:

Savable, Trainable<LatentDirichletAllocation.ModelParameters,LatentDirichletAllocation.TrainingParameters>, java.lang.AutoCloseable

public class LatentDirichletAllocation
extends AbstractTopicModeler<LatentDirichletAllocation.ModelParameters,LatentDirichletAllocation.TrainingParameters>

Implementation of the Latent Dirichlet Allocation algorithm. References: http://videolectures.net/mlss09uk_blei_tm/ http://www.ncbi.nlm.nih.gov/pmc/articles/PMC387300/ https://github.com/angeloskath/php-nlp-tools/blob/master/src/NlpTools/Models/Lda.php https://gist.github.com/mblondel/542786 http://stats.stackexchange.com/questions/9315/topic-prediction-using-latent-dirichlet-allocation http://home.uchicago.edu/~lkorsos/GibbsNGramLDA.pdf http://machinelearning.wustl.edu/mlpapers/paper_files/BleiNJ03.pdf http://www.cl.cam.ac.uk/teaching/1213/L101/clark_lectures/lect7.pdf http://www.ics.uci.edu/~newman/pubs/fastlda.pdf http://www.tnkcs.inf.elte.hu/vedes/Biro_Istvan_Tezisek_en.pdf (Limit Gibbs Sampler & unseen inference) http://airweb.cse.lehigh.edu/2008/submissions/biro_2008_latent_dirichlet_allocation_spam.pdf (unseen inference) http://www.cs.cmu.edu/~akyrola/10702project/kyrola10702FINAL.pdf http://stats.stackexchange.com/questions/18167/how-to-calculate-perplexity-of-a-holdout-with-latent-dirichlet-allocation http://www.slideserve.com/adamdaniel/an-introduction-to-latent-dirichlet-allocation-lda

Nested Class Summary

Nested Classes

Modifier and Type	Class and Description
static class	LatentDirichletAllocation.ModelParameters Base class for every ModelParameter class in the framework.
static class	LatentDirichletAllocation.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.AbstractTrainer

AbstractTrainer.AbstractModelParameters, AbstractTrainer.AbstractTrainingParameters

Method Summary

Modifier and Type	Method and Description
AssociativeArray2D	getWordProbabilitiesPerTopic() Returns the distribution of the words in each topic.

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

Method Detail

getWordProbabilitiesPerTopic

public AssociativeArray2D getWordProbabilitiesPerTopic()

Returns the distribution of the words in each topic.

Returns: