Module es.upm.fi.cig.multictbnc

Package es.upm.fi.cig.multictbnc.experiments.implementationsexperiments.featurestreamexperiments

Class FeatureStreamWithFSSWithoutUpdatingExperiment

java.lang.Object

es.upm.fi.cig.multictbnc.experiments.implementationsexperiments.featurestreamexperiments.FeatureStreamImplementationExperiment

es.upm.fi.cig.multictbnc.experiments.implementationsexperiments.featurestreamexperiments.FeatureStreamWithFSSWithoutUpdatingExperiment

public class FeatureStreamWithFSSWithoutUpdatingExperiment
extends FeatureStreamImplementationExperiment

Represents an experiment for processing a feature stream dataset with online feature subset selection without updating the model.

Constructor Summary

Constructors

Constructor	Description
FeatureStreamWithFSSWithoutUpdatingExperiment(String pathFeatureStream, String nameTimeVariable, List<String> nameClassVariables, DatasetReader initialDatasetReader, DatasetReader testDatasetReader, CTBNParameterLearningAlgorithm ctbnPLA, int maxSeparatingSizeFSS, int experimentNumber, int numFeatures, boolean areModelsValidated, double sigTimeTransitionHyp, double sigStateToStateTransitionHyp)	Initializes a FeatureStreamWithFSSWithoutUpdatingExperiment with the provided configuration parameters.

Method Summary

Modifier and Type	Method	Description
void	execute(MultiCTBNC<CPTNode,CIMNode> model)	Executes the experiment.
String	getFilenameResults()	Provides the filename for storing results.

Methods inherited from class es.upm.fi.cig.multictbnc.experiments.implementationsexperiments.featurestreamexperiments.FeatureStreamImplementationExperiment

close

Methods inherited from class java.lang.Object

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

Constructor Details

FeatureStreamWithFSSWithoutUpdatingExperiment

public FeatureStreamWithFSSWithoutUpdatingExperiment(String pathFeatureStream,
 String nameTimeVariable,
 List<String> nameClassVariables,
 DatasetReader initialDatasetReader,
 DatasetReader testDatasetReader,
 CTBNParameterLearningAlgorithm ctbnPLA,
 int maxSeparatingSizeFSS,
 int experimentNumber,
 int numFeatures,
 boolean areModelsValidated,
 double sigTimeTransitionHyp,
 double sigStateToStateTransitionHyp)
                                              throws UnreadDatasetException,
IOException

Initializes a FeatureStreamWithFSSWithoutUpdatingExperiment with the provided configuration parameters.

Parameters:

pathFeatureStream - path to the feature stream

nameTimeVariable - name of the time variable

nameClassVariables - list of names of class variables

initialDatasetReader - DatasetReader for the initial dataset

testDatasetReader - DatasetReader for the test dataset

ctbnPLA - parameter learning algorithm for the CIM nodes

maxSeparatingSizeFSS - maximum separating size for the feature subset selection

experimentNumber - number identifying the experiment

numFeatures - number of features in the dataset (used to identify results files)

areModelsValidated - boolean indicating whether the models should be validated

sigTimeTransitionHyp - significance level for time transition hypothesis

sigStateToStateTransitionHyp - significance level for state-to-state transition hypothesis

Throws:

UnreadDatasetException - if there is an issue reading the dataset

IOException - if there is an I/O error

Method Details

getFilenameResults

public String getFilenameResults()

Description copied from class: FeatureStreamImplementationExperiment

Provides the filename for storing results.

Specified by:

getFilenameResults in class FeatureStreamImplementationExperiment

Returns:

the filename as a string

execute

public void execute(MultiCTBNC<CPTNode,CIMNode> model)
             throws ErroneousValueException,
UnreadDatasetException,
IOException

Description copied from class: FeatureStreamImplementationExperiment

Executes the experiment.

Specified by:

execute in class FeatureStreamImplementationExperiment

Parameters:

model - Multi-CTBNC used in the experiment

Throws:

ErroneousValueException - if there are erroneous values in the data

UnreadDatasetException - if the dataset cannot be read

IOException - if an error occurs in file handling