Example usage for org.apache.mahout.clustering.lda.cvb InMemoryCollapsedVariationalBayes0 main

Introduction

In this page you can find the example usage for org.apache.mahout.clustering.lda.cvb InMemoryCollapsedVariationalBayes0 main.

Prototype

public static void main(String[] args) throws Exception 

Source Link

Usage

From source file:org.plista.kornakapi.core.training.LDATopicFactorizer.java

License:Apache License

/**
 * //from   w  ww. java2  s  .com
 * @return
 * @throws TasteException
 */
public SemanticModel factorize() throws TasteException, IOException {
    List<String> argList = Lists.newLinkedList();
    argList.add("-i");
    argList.add(sparseVectorIn.toString() + "/matrix");
    argList.add("-to");
    argList.add(topicsOut.toString());
    argList.add("--numTopics");
    argList.add(k.toString());
    argList.add("-d");
    argList.add(((LDARecommenderConfig) conf).getTopicsDictionaryPath());
    argList.add("--alpha");
    argList.add(alpha.toString());
    argList.add("--eta");
    argList.add(eta.toString());
    argList.add("-do");
    argList.add(((LDARecommenderConfig) conf).getLDADocTopicsPath());
    argList.add("-c");
    argList.add(convergenceDelta.toString());
    argList.add("-ntt");
    argList.add(((LDARecommenderConfig) conf).getTrainingThreats().toString());
    argList.add("-m");
    argList.add(((LDARecommenderConfig) conf).getMaxIterations());
    argList.add("-nut");
    argList.add(((LDARecommenderConfig) conf).getTrainingThreats().toString());
    String[] args = argList.toArray(new String[argList.size()]);
    try {
        InMemoryCollapsedVariationalBayes0.main(args);
        //computeAllTopicPosterior();
        getAllTopicPosterior();
    } catch (Exception e) {
        // TODO Auto-generated catch block
        e.printStackTrace();
    }
    return new SemanticModel(indexItem, itemIndex, itemFeatures,
            new Path(((LDARecommenderConfig) conf).getLDARecommenderModelPath()), conf);
}

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