org.apache.commons.math3.distribution.fitting
Class MultivariateNormalMixtureExpectationMaximization.DataRow

java.lang.Object
  org.apache.commons.math3.distribution.fitting.MultivariateNormalMixtureExpectationMaximization.DataRow

All Implemented Interfaces:

Comparable<MultivariateNormalMixtureExpectationMaximization.DataRow>

Enclosing class:

MultivariateNormalMixtureExpectationMaximization

private static class MultivariateNormalMixtureExpectationMaximization.DataRow
extends Object
implements Comparable<MultivariateNormalMixtureExpectationMaximization.DataRow>

Class used for sorting user-supplied data.

Field Summary

private Double	mean Mean of the data row.
private double[]	row One data row.

Constructor Summary

MultivariateNormalMixtureExpectationMaximization.DataRow(double[] data)
Create a data row.

Method Summary

int	compareTo(MultivariateNormalMixtureExpectationMaximization.DataRow other) Compare two data rows.
boolean	equals(Object other)
double[]	getRow() Get a data row.
int	hashCode()

Methods inherited from class java.lang.Object

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

Field Detail

row

private final double[] row

One data row.

mean

private Double mean

Mean of the data row.

Constructor Detail

MultivariateNormalMixtureExpectationMaximization.DataRow

MultivariateNormalMixtureExpectationMaximization.DataRow(double[] data)

Create a data row.

Parameters:

data - Data to use for the row

Method Detail

compareTo

public int compareTo(MultivariateNormalMixtureExpectationMaximization.DataRow other)

Compare two data rows.

Specified by:

compareTo in interface Comparable<MultivariateNormalMixtureExpectationMaximization.DataRow>

Parameters:

other - The other row

Returns:

int for sorting

equals

public boolean equals(Object other)

Overrides:

equals in class Object

hashCode

public int hashCode()

Overrides:

hashCode in class Object

getRow

public double[] getRow()

Get a data row.

Returns:

data row array