org.apache.spark.mllib.clustering

Class ExpectationSum

java.lang.Object

org.apache.spark.mllib.clustering.ExpectationSum

All Implemented Interfaces:

java.io.Serializable

public class ExpectationSum
extends java.lang.Object
implements scala.Serializable

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
ExpectationSum(double logLikelihood, double[] weights, breeze.linalg.DenseVector<java.lang.Object>[] means, breeze.linalg.DenseMatrix<java.lang.Object>[] sigmas)

Method Summary

Methods

Modifier and Type	Method and Description
static ExpectationSum	add(double[] weights, MultivariateGaussian[] dists, ExpectationSum sums, breeze.linalg.Vector<java.lang.Object> x)
int	k()
double	logLikelihood()
breeze.linalg.DenseVector<java.lang.Object>[]	means()
breeze.linalg.DenseMatrix<java.lang.Object>[]	sigmas()
double[]	weights()
static ExpectationSum	zero(int k, int d)

Methods inherited from class java.lang.Object

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

Constructor Detail

ExpectationSum

public ExpectationSum(double logLikelihood,
              double[] weights,
              breeze.linalg.DenseVector<java.lang.Object>[] means,
              breeze.linalg.DenseMatrix<java.lang.Object>[] sigmas)

Method Detail

zero

public static ExpectationSum zero(int k,
                  int d)

add

public static ExpectationSum add(double[] weights,
                 MultivariateGaussian[] dists,
                 ExpectationSum sums,
                 breeze.linalg.Vector<java.lang.Object> x)

logLikelihood

public double logLikelihood()

weights

public double[] weights()

means

public breeze.linalg.DenseVector<java.lang.Object>[] means()

sigmas

public breeze.linalg.DenseMatrix<java.lang.Object>[] sigmas()

k

public int k()