Package org.apache.spark.mllib.clustering

Class ExpectationSum

Object

org.apache.spark.mllib.clustering.ExpectationSum

All Implemented Interfaces:

Serializable

public class ExpectationSum
extends Object
implements Serializable

See Also:

• Serialized Form

Constructor Summary

Constructors

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

Method Summary

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

Methods inherited from class java.lang.Object

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

Constructor Details

ExpectationSum

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

Method Details

zero

public static ExpectationSum zero(int k,
 int d)

add

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

logLikelihood

public double logLikelihood()

weights

public double[] weights()

means

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

sigmas

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

k

public int k()