Example usage for org.apache.mahout.classifier.sgd L2 L2

Introduction

In this page you can find the example usage for org.apache.mahout.classifier.sgd L2 L2.

Prototype

public L2() 

Source Link

Usage

From source file:com.ml.ira.algos.AdaptiveLogisticModelParameters.java

License:Apache License

private static PriorFunction createPrior(String cmd, double priorOption) {
    if (cmd == null) {
        return null;
    }//from   w ww  . java 2s  .  c om
    if ("L1".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
        return new L1();
    }
    if ("L2".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
        return new L2();
    }
    if ("UP".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
        return new UniformPrior();
    }
    if ("TP".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
        return new TPrior(priorOption);
    }
    if ("EBP".equals(cmd.toUpperCase(Locale.ENGLISH).trim())) {
        return new ElasticBandPrior(priorOption);
    }

    return null;
}

---

From source file:org.deidentifier.arx.aggregates.classification.MultiClassLogisticRegression.java

License:Apache License

/**
 * Creates a new instance//from   w ww.  j a v  a2 s  . c o m
 * @param specification
 * @param config
 */
public MultiClassLogisticRegression(ClassificationDataSpecification specification,
        ARXLogisticRegressionConfiguration config) {

    // Store
    this.config = config;
    this.specification = specification;

    // Prepare classifier
    PriorFunction prior = null;
    switch (config.getPriorFunction()) {
    case ELASTIC_BAND:
        prior = new ElasticBandPrior();
        break;
    case L1:
        prior = new L1();
        break;
    case L2:
        prior = new L2();
        break;
    case UNIFORM:
        prior = new UniformPrior();
        break;
    default:
        throw new IllegalArgumentException("Unknown prior function");
    }
    this.lr = new OnlineLogisticRegression(this.specification.classMap.size(), config.getVectorLength(), prior);

    // Configure
    this.lr.learningRate(config.getLearningRate());
    this.lr.alpha(config.getAlpha());
    this.lr.lambda(config.getLambda());
    this.lr.stepOffset(config.getStepOffset());
    this.lr.decayExponent(config.getDecayExponent());

    // Prepare encoders
    this.interceptEncoder = new ConstantValueEncoder("intercept");
    this.wordEncoder = new StaticWordValueEncoder("feature");

    // Configure
    this.lr.learningRate(1);
    this.lr.alpha(1);
    this.lr.lambda(0.000001);
    this.lr.stepOffset(10000);
    this.lr.decayExponent(0.2);
}

---