Package edu.pitt.dbmi.algo.bayesian.constraint.search

Class PagSamplingRfci

java.lang.Object

edu.pitt.dbmi.algo.bayesian.constraint.search.PagSamplingRfci

All Implemented Interfaces:

IGraphSearch

public class PagSamplingRfci
extends Object
implements IGraphSearch

Jan 29, 2023 4:10:52 PM

Version:

$Id: $Id

Author:

Kevin V. Bui (kvb2univpitt@gmail.com)

Constructor Summary

Constructors

Constructor	Description
PagSamplingRfci(DataSet dataSet)	Constructor.

Method Summary

Modifier and Type	Method	Description
Graph	search()	Runs the search and returns a graph.
void	setCutoff(double cutoff)	Set the cutoff.
void	setDepth(int depth)	Set the depth.
void	setKnowledge(Knowledge knowledge)	Set the knowledge.
void	setMaxDiscriminatingPathLength(int maxDiscriminatingPathLength)	Sets the maximum length of any discriminating path.
void	setNumRandomizedSearchModels(int numRandomizedSearchModels)	Set the number of randomized search models.
void	setPriorEquivalentSampleSize(double priorEquivalentSampleSize)	Set the prior equivalent sample size.
void	setThreshold(boolean threshold)	Set the threshold.
void	setVerbose(boolean verbose)	Set the verbose flag.

Methods inherited from class java.lang.Object

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

Constructor Details

PagSamplingRfci

public PagSamplingRfci(DataSet dataSet)

Constructor.

Parameters:

dataSet - the data set.

Method Details

search

public Graph search()

Runs the search and returns a graph.

Search for a PAG.

Specified by:

search in interface IGraphSearch

Returns:

The discovered graph.

setNumRandomizedSearchModels

public void setNumRandomizedSearchModels(int numRandomizedSearchModels)

Set the number of randomized search models.

Parameters:

numRandomizedSearchModels - the number of randomized search models.

setVerbose

public void setVerbose(boolean verbose)

Set the verbose flag.

Parameters:

verbose - the verbose flag.

setDepth

public void setDepth(int depth)

Set the depth.

Parameters:

depth - the depth.

setMaxDiscriminatingPathLength

public void setMaxDiscriminatingPathLength(int maxDiscriminatingPathLength)

Sets the maximum length of any discriminating path.

Parameters:

maxDiscriminatingPathLength - the maximum length of any discriminating path, or -1 if unlimited.

setThreshold

public void setThreshold(boolean threshold)

Set the threshold.

Parameters:

threshold - the threshold.

setCutoff

public void setCutoff(double cutoff)

Set the cutoff.

Parameters:

cutoff - the cutoff.

setPriorEquivalentSampleSize

public void setPriorEquivalentSampleSize(double priorEquivalentSampleSize)

Set the prior equivalent sample size.

Parameters:

priorEquivalentSampleSize - the prior equivalent sample size.

setKnowledge

public void setKnowledge(Knowledge knowledge)

Set the knowledge.

Parameters:

knowledge - the knowledge.