Package edu.cmu.tetrad.bayes

Class IntAveDataSetProbs

java.lang.Object

edu.cmu.tetrad.bayes.IntAveDataSetProbs

public final class IntAveDataSetProbs
extends Object

Estimates probabilities directly from data on the fly using maximum likelihood method, with the exception that if rows do not exist in the data satisfying a required condition because certain values are unattested, an attempt is made to remove each relevant column in turn, record the estimated probability with column removed from the condition (if it is defined), and then return the average over the estimated probabilities calculated this way.

Version:

$Id: $Id

Author:

josephramsey

Constructor Summary

Constructors

Constructor	Description
IntAveDataSetProbs(DataSet dataSet)	Creates a cell count table for the given data set.

Method Summary

Modifier and Type	Method	Description
double	getCellProb(int[] variableValues)	getCellProb.
double	getConditionalProb(Proposition assertion, Proposition condition)	Calculates the conditional probability of an assertion given a condition.
DataSet	getDataSet()	Getter for the field dataSet.
double	getProb(Proposition assertion)	Calculates the probability of a given assertion.
List<Node>	getVariables()	getVariables.

Methods inherited from class java.lang.Object

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

Constructor Details

IntAveDataSetProbs

public IntAveDataSetProbs(DataSet dataSet)

Creates a cell count table for the given data set.

Parameters:

dataSet - a DataSet object

Method Details

getCellProb

public double getCellProb(int[] variableValues)

getCellProb.

Parameters:

variableValues - an array of objects

Returns:

the estimated probability for the given cell. The order of the variable values is the order of the variables in getVariable().

getProb

public double getProb(Proposition assertion)

Calculates the probability of a given assertion.

Parameters:

assertion - an object of type Proposition representing the assertion

Returns:

the probability of the given assertion

getConditionalProb

public double getConditionalProb(Proposition assertion,
 Proposition condition)

Calculates the conditional probability of an assertion given a condition.

Parameters:

assertion - The proposition representing the assertion.

condition - The proposition representing the 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 or if the variables in the assertion and data set are different or in a different order.

getDataSet

public DataSet getDataSet()

Getter for the field dataSet.

Returns:

the dataset that this is estimating probabilities for.

getVariables

public List<Node> getVariables()

getVariables.

Returns:

the list of variables for the dataset that this is estimating probabilities for.