Package org.apache.wayang.apps.sgd

Class SGDImpl

java.lang.Object

org.apache.wayang.apps.sgd.SGDImpl

public class SGDImpl
extends java.lang.Object

This class executes a stochastic gradient descent optimization on Apache Wayang (incubating).

Constructor Summary

Constructors

Constructor	Description
SGDImpl(Configuration configuration, Plugin[] plugins)

Method Summary

Modifier and Type	Method	Description
double[]	apply(java.lang.String datasetUrl, int datasetSize, int features, int maxIterations, double accuracy, int sampleSize)
double[]	apply(java.lang.String datasetUrl, int datasetSize, int features, int maxIterations, double accuracy, int sampleSize, Experiment experiment)

Methods inherited from class java.lang.Object

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

Constructor Detail

SGDImpl

public SGDImpl(Configuration configuration,
               Plugin[] plugins)

Method Detail

apply

public double[] apply(java.lang.String datasetUrl,
                      int datasetSize,
                      int features,
                      int maxIterations,
                      double accuracy,
                      int sampleSize)

apply

public double[] apply(java.lang.String datasetUrl,
                      int datasetSize,
                      int features,
                      int maxIterations,
                      double accuracy,
                      int sampleSize,
                      Experiment experiment)