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riso.distributions
Class OuterProduct  

java.lang.Object
  riso.distributions.AbstractDistribution
      riso.distributions.OuterProduct

All Implemented Interfaces:

ConditionalDistribution, Distribution, java.io.Serializable

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public class OuterProduct

extends AbstractDistribution

An instance of this class represents an outer product of distributions, that is, a distribution which has a density of the form

   p(x) = \prod_i p_i(x[j_i])
 

where j_i is a subset of the indices 0,1,2,...,x.length-1, with all subsets disjoint.

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Field Summary
(package private)  Distribution[]	distributions
(package private)  int[][]	subsets

 

Fields inherited from class riso.distributions.AbstractDistribution

associated_variable

 

Constructor Summary

OuterProduct()           Constructs an empty outer product of distributions.

 

Method Summary
double[]	effective_support(double epsilon)           Returns an interval which contains almost all of the mass of this distribution.
double	expected_value()           Returns the expected value of this distribution.
java.lang.String	format_string(java.lang.String leading_ws)           Formats a string representation of this distribution.
double	log_prior()           Computes the log of the prior probability of the parameters of this distribution, assuming some prior distribution has been established.
static void	main(java.lang.String[] args)
int	ndimensions()           Returns the number of dimensions in which this distribution lives.
double	p(double[] x)           Compute the density at the point x.
void	pretty_input_component(riso.general.SmarterTokenizer st, java.util.Vector subsets, java.util.Vector distributions)
void	pretty_input(riso.general.SmarterTokenizer st)           Read an instance of this distribution from an input stream.
double[]	random()           Returns an instance of a random variable from this distribution.
double	sqrt_variance()           Returns the square root of the variance of this distribution.
double	update(double[][] x, double[] responsibility, int niter_max, double stopping_criterion)           Uses data to modify the parameters of the distribution.
double	weighted_nll(double[][] x, double[] responsibility)           Computes the negative log likelihood, weighting each case by the responsibility.

 

Methods inherited from class riso.distributions.AbstractDistribution

cdf, clone, get_density, get_nstates, initial_mix, log_p, ndimensions_child, ndimensions_parent, p, parse_string, pretty_output, random, set_variable, toString

 

Methods inherited from class java.lang.Object

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

 

Field Detail

subsets

int[][] subsets

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distributions

Distribution[] distributions

Constructor Detail

OuterProduct

public OuterProduct()

Constructs an empty outer product of distributions.

Method Detail

ndimensions

public int ndimensions()

Returns the number of dimensions in which this distribution lives.

Specified by:

ndimensions in interface Distribution

Overrides:

ndimensions in class AbstractDistribution

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p

public double p(double[] x)
         throws java.lang.Exception

Compute the density at the point x.

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log_prior

public double log_prior()
                 throws java.lang.Exception

Computes the log of the prior probability of the parameters of this distribution, assuming some prior distribution has been established. This may not be meaningful.

Specified by:

log_prior in interface Distribution

Overrides:

log_prior in class AbstractDistribution

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random

public double[] random()
                throws java.lang.Exception

Returns an instance of a random variable from this distribution.

Specified by:

random in interface Distribution

Overrides:

random in class AbstractDistribution

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update

public double update(double[][] x,
                     double[] responsibility,
                     int niter_max,
                     double stopping_criterion)
              throws java.lang.Exception

Uses data to modify the parameters of the distribution. Split up the data by column subsets, and hand off each subset to the corresponding component to do its own update.

Specified by:

update in interface Distribution

Overrides:

update in class AbstractDistribution

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weighted_nll

public double weighted_nll(double[][] x,
                           double[] responsibility)
                    throws java.lang.Exception

Computes the negative log likelihood, weighting each case by the responsibility.

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expected_value

public double expected_value()
                      throws java.lang.Exception

Returns the expected value of this distribution.

Specified by:

expected_value in interface Distribution

Overrides:

expected_value in class AbstractDistribution

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sqrt_variance

public double sqrt_variance()
                     throws java.lang.Exception

Returns the square root of the variance of this distribution.

Specified by:

sqrt_variance in interface Distribution

Overrides:

sqrt_variance in class AbstractDistribution

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effective_support

public double[] effective_support(double epsilon)
                           throws java.lang.Exception

Returns an interval which contains almost all of the mass of this distribution. NOT IMPLEMENTED !!!

Specified by:

effective_support in interface Distribution

Overrides:

effective_support in class AbstractDistribution

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format_string

public java.lang.String format_string(java.lang.String leading_ws)
                               throws java.io.IOException

Formats a string representation of this distribution.

Specified by:

format_string in interface ConditionalDistribution

Overrides:

format_string in class AbstractDistribution

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pretty_input

public void pretty_input(riso.general.SmarterTokenizer st)
                  throws java.io.IOException

Read an instance of this distribution from an input stream. This is intended for input from a human-readable source; this is different from object serialization.

Overrides:

pretty_input in class AbstractDistribution

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pretty_input_component

public void pretty_input_component(riso.general.SmarterTokenizer st,
                                   java.util.Vector subsets,
                                   java.util.Vector distributions)
                            throws java.io.IOException

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main

public static void main(java.lang.String[] args)

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Overview  Package   Class  Use  Deprecated  Index
Home >> All >> riso >> [ distributions overview ]	PREV CLASS  NEXT CLASS
SUMMARY:  JAVADOC |  SOURCE |  DOWNLOAD | NESTED | FIELD | CONSTR | METHOD	DETAIL: FIELD | CONSTR | METHOD

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