Package edu.pitt.dbmi.algo.resampling.task

Class GeneralResamplingSearchRunnable

java.lang.Object

edu.pitt.dbmi.algo.resampling.task.GeneralResamplingSearchRunnable

All Implemented Interfaces:

Callable<Graph>

public class GeneralResamplingSearchRunnable
extends Object
implements Callable<Graph>

A runnable for a single search over either a single- or multi-data set algorithm, for use in a thread pool.

Version:

$Id: $Id

Author:

Chirayu (Kong) Wongchokprasitti, PhD, josephramsey Cleanup.

Constructor Summary

Constructors

Constructor	Description
GeneralResamplingSearchRunnable(DataModel dataModel, Algorithm algorithm, Parameters parameters)	Constructor for single-data set algorithms.
GeneralResamplingSearchRunnable(List<DataModel> dataModel, MultiDataSetAlgorithm algorithm, Parameters parameters)	Constructor for multi-data set algorithms.

Method Summary

Modifier and Type	Method	Description
Graph	call()	Runs the search over the data model or data models, using the algorithm and parameters.
void	setIndependenceWrapper(IndependenceWrapper independenceWrapper)	Sets the independence wrapper, for multi-data set algorithms.
void	setKnowledge(Knowledge knowledge)	Sets the background knowledge.
void	setOut(PrintStream out)	Sets the output stream that output (except for log output) should be sent to.
void	setScoreWrapper(ScoreWrapper scoreWrapper)	Sets the score wrapper, for multi-data set algorithms.
void	setVerbose(boolean verbose)	Sets whether verbose output should be printed.

Methods inherited from class java.lang.Object

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

Constructor Details

GeneralResamplingSearchRunnable

public GeneralResamplingSearchRunnable(DataModel dataModel,
 Algorithm algorithm,
 Parameters parameters)

Constructor for single-data set algorithms.

Parameters:

dataModel - a DataModel object

algorithm - a Algorithm object

parameters - a Parameters object

GeneralResamplingSearchRunnable

public GeneralResamplingSearchRunnable(List<DataModel> dataModel,
 MultiDataSetAlgorithm algorithm,
 Parameters parameters)

Constructor for multi-data set algorithms.

Parameters:

dataModel - a List object

algorithm - a MultiDataSetAlgorithm object

parameters - a Parameters object

Method Details

setKnowledge

public void setKnowledge(Knowledge knowledge)

Sets the background knowledge.

Parameters:

knowledge - the knowledge object, specifying forbidden and required edges.

setOut

public void setOut(PrintStream out)

Sets the output stream that output (except for log output) should be sent to. By default, System.out.

Parameters:

out - a PrintStream object

call

public Graph call()

Runs the search over the data model or data models, using the algorithm and parameters.

Specified by:

call in interface Callable<Graph>

Returns:

The graph discovered by the search.

setScoreWrapper

public void setScoreWrapper(ScoreWrapper scoreWrapper)

Sets the score wrapper, for multi-data set algorithms.

Parameters:

scoreWrapper - a ScoreWrapper object

setIndependenceWrapper

public void setIndependenceWrapper(IndependenceWrapper independenceWrapper)

Sets the independence wrapper, for multi-data set algorithms.

Parameters:

independenceWrapper - a IndependenceWrapper object

setVerbose

public void setVerbose(boolean verbose)

Sets whether verbose output should be printed.

Parameters:

verbose - a boolean