Package edu.cmu.tetrad.bayes

Class StoredCellProbs

java.lang.Object

edu.cmu.tetrad.bayes.StoredCellProbs

All Implemented Interfaces:

TetradSerializable, Serializable

public final class StoredCellProbs
extends Object
implements TetradSerializable

Creates a table of stored cell probabilities for the given list of variables. Since for a moderate number of variables and for a moderate number of values per variables this could get to be a very large table, it might not be a good idea to use this class except for unit testing.> 0

Version:

$Id: $Id

Author:

josephramsey

See Also:

• Serialized Form

Method Summary

Modifier and Type	Method	Description
static StoredCellProbs	createCellTable(BayesIm bayesIm)	createCellTable.
static StoredCellProbs	createRandomCellTable(List<Node> variables)	createRandomCellTable.
double	getCellProb(int[] variableValues)	getCellProb.
double	getConditionalProb(Proposition assertion, Proposition condition)	Calculates the conditional probability of an assertion given a condition.
double	getProb(Proposition assertion)	Calculates the probability for the given proposition assertion.
List<Node>	getVariables()	Getter for the field variables.
static StoredCellProbs	serializableInstance()	Generates a simple exemplar of this class to test serialization.
String	toString()	toString.

Methods inherited from class java.lang.Object

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

Method Details

createRandomCellTable

public static StoredCellProbs createRandomCellTable(List<Node> variables)

createRandomCellTable.

Parameters:

variables - a List object

Returns:

a StoredCellProbs object

createCellTable

public static StoredCellProbs createCellTable(BayesIm bayesIm)

createCellTable.

Parameters:

bayesIm - a BayesIm object

Returns:

a StoredCellProbs object

serializableInstance

public static StoredCellProbs serializableInstance()

Generates a simple exemplar of this class to test serialization.

Returns:

a StoredCellProbs object

getCellProb

public double getCellProb(int[] variableValues)

getCellProb.

Parameters:

variableValues - an array of objects

Returns:

the probability for the given cell, specified as a particular combination of variable values, for the list of variables (in order) returned by get

getProb

public double getProb(Proposition assertion)

Calculates the probability for the given proposition assertion.

Parameters:

assertion - The proposition assertion for which to calculate the probability.

Returns:

The probability for the given proposition assertion.

getConditionalProb

public double getConditionalProb(Proposition assertion,
 Proposition condition)

Calculates the conditional probability of an assertion given a condition.

Parameters:

assertion - the proposition assertion for which to calculate the probability

condition - the proposition condition

Returns:

the conditional probability of the assertion given the condition

Throws:

IllegalArgumentException - if the assertion and condition are not for the same Bayes IM

getVariables

public List<Node> getVariables()

Getter for the field variables.

Returns:

a List object

toString

public String toString()

toString.

Overrides:

toString in class Object

Returns:

a String object