Package ch.idsia.crema.factor.bayesian

Class BayesianFactorFactory

java.lang.Object

ch.idsia.crema.factor.bayesian.BayesianFactorFactory

public class BayesianFactorFactory
extends Object

Author: Claudio "Dna" Bonesana Project: crema Date: 16.04.2021 11:11

Method Summary

Modifier and Type	Method	Description
BayesianAndFactor	and(int... parents)	Requires a pre-defined Domain.
BayesianAndFactor	and(int[] parents, int[] trueStates)	Requires a pre-defined Domain.
BayesianFactorFactory	data()	Set an empty data set with all the combinations of the given domain.
BayesianFactorFactory	data(double[] data)
BayesianFactorFactory	data(int[] domain, double[] data)
BayesianFactorFactory	domain(int[] domain, int[] sizes)
BayesianFactorFactory	domain(Domain domain)
static BayesianFactorFactory	factory()	This is the entry point for the chained interface of this factory.
BayesianDefaultFactor	get()
BayesianLogFactor	log()
BayesianFactorFactory	logData(double[] data)
BayesianNoisyOrFactor	noisyOr(int[] parents, double[] strengths)	Requires a pre-defined Domain.
BayesianNoisyOrFactor	noisyOr(int[] parents, int[] trueStates, double[] strengths)	Requires a pre-defined Domain.
BayesianNotFactor	not(int parent)	Requires a pre-defined Domain.
BayesianAndFactor	not(int parent, int trueState)	Requires a pre-defined Domain.
static BayesianDefaultFactor	one(int var)
BayesianOrFactor	or(int... parents)	Requires a pre-defined Domain.
BayesianOrFactor	or(int[] parents, int[] trueStates)	Requires a pre-defined Domain.
BayesianFactorFactory	set(double value, int... states)
BayesianFactorFactory	value(double value, int... states)
BayesianFactorFactory	valueAt(double d, int index)
BayesianFactorFactory	valuesAt(double[] d, int index)
static BayesianDefaultFactor	zero(int var)

Methods inherited from class java.lang.Object

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

Method Detail

one

public static BayesianDefaultFactor one(int var)

Parameters:

var - the variable associated with this factor. This variable will be considered binary

Returns:

a BayesianDefaultFactor where state 1 has probability 1.0.

zero

public static BayesianDefaultFactor zero(int var)

Parameters:

var - the variable associated with this factor. This variable will be considered binary

Returns:

a BayesianDefaultFactor where state 0 has probability 1.0.

factory

public static BayesianFactorFactory factory()

This is the entry point for the chained interface of this factory.

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

domain

public BayesianFactorFactory domain(Domain domain)

Parameters:

domain - set the domain of the factor

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

domain

public BayesianFactorFactory domain(int[] domain,
                                    int[] sizes)

Parameters:

domain - the variables that defines the domain

sizes - the sizes of each variable

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

data

public BayesianFactorFactory data()

Set an empty data set with all the combinations of the given domain.

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

data

public BayesianFactorFactory data(double[] data)

Parameters:

data - an array of values that will be directly used

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

logData

public BayesianFactorFactory logData(double[] data)

Parameters:

data - an array of values in log-space that will be directly used

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

data

public BayesianFactorFactory data(int[] domain,
                                  double[] data)

Parameters:

domain - the order of the variables that defines the values

data - the values to use specified with the given domain order

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

value

public BayesianFactorFactory value(double value,
                                   int... states)

Parameters:

value - a single value to set

states - the states that defines this value

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

valueAt

public BayesianFactorFactory valueAt(double d,
                                     int index)

Parameters:

d - a single value to set

index - the index (or offset) of the value to set

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

valuesAt

public BayesianFactorFactory valuesAt(double[] d,
                                      int index)

Parameters:

d - a single value to set

index - the index (or offset) of the value to set

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

set

public BayesianFactorFactory set(double value,
                                 int... states)

Parameters:

value - a single value to set

states - the states that defines this value

Returns:

a BayesianFactorFactory object that can be used to chain multiple commands.

log

public BayesianLogFactor log()

Returns:

a BayesianLogFactor, where the given data are converted to log-space

get

public BayesianDefaultFactor get()

Returns:

a BayesianDefaultFactor, where the given data are converted to non-log-space.

not

public BayesianNotFactor not(int parent)

Requires a pre-defined Domain.

Parameters:

parent - variable that is the parent of this factor

Returns:

a logic BayesianNotFactor

not

public BayesianAndFactor not(int parent,
                             int trueState)

Requires a pre-defined Domain.

Parameters:

parent - variable that is the parent of this factor

trueState - index of the state to be considered as TRUE for the given parent

Returns:

a logic BayesianAndFactor

and

public BayesianAndFactor and(int... parents)

Requires a pre-defined Domain.

Parameters:

parents - variables that are parents of this factor

Returns:

a logic BayesianAndFactor

and

public BayesianAndFactor and(int[] parents,
                             int[] trueStates)

Requires a pre-defined Domain.

Parameters:

trueStates - index of the state to be considered as TRUE for each given parent

parents - variables that are parents of this factor

Returns:

a logic BayesianAndFactor

or

public BayesianOrFactor or(int... parents)

Requires a pre-defined Domain.

Parameters:

parents - variables that are parents of this factor

Returns:

a logic BayesianOrFactor

or

public BayesianOrFactor or(int[] parents,
                           int[] trueStates)

Requires a pre-defined Domain.

Parameters:

trueStates - index of the state to be considered as TRUE for each given parent

parents - variables that are parents of this factor

Returns:

a logic BayesianOrFactor

noisyOr

public BayesianNoisyOrFactor noisyOr(int[] parents,
                                     double[] strengths)

Requires a pre-defined Domain.

Parameters:

parents - variables that are parents of this factor

strengths - values for the inhibition strength for each given parent

Returns:

a logic BayesianNoisyOrFactor

noisyOr

public BayesianNoisyOrFactor noisyOr(int[] parents,
                                     int[] trueStates,
                                     double[] strengths)

Requires a pre-defined Domain.

Parameters:

parents - variables that are parents of this factor

trueStates - index of the state to be considered as TRUE for each given parent

strengths - values for the inhibition strength for each given parent

Returns:

a logic BayesianNoisyOrFactor