org.android.activityminer.logic.features.selection
Class FeatureSelectionHelper

java.lang.Object
  de.unikassel.android.sdcframework.util.ObservableEventSourceImpl<ObservableProgressData>
      org.android.activityminer.logic.features.selection.FeatureSelectionHelper

All Implemented Interfaces:

ObservableEventSource<ObservableProgressData>, ObserverRegistration<ObservableProgressData>

public class FeatureSelectionHelper
extends ObservableEventSourceImpl<ObservableProgressData>

A class to delegate feature selection to.

Field Summary

private Configuration	config The current configuration.
private Context	context The context.
private DBManager	dbManager A reference to the database manager.
private Set<FeatureTypes>	featureSet The feature set to select features from.
private String	lastError The last error
private android.support.v4.util.LongSparseArray<List<Long>>	mapSelectedClassId2SampleIds A map to store sample (feature vector) identifiers for the selected lass identifiers
private int	progress The current progress.
private ObservableProgressData	progressData The observable progress data
private int	sampleCount The total sample count.
private int	subSetSize The maximum subset size.
private boolean	succeeded The success state flag
private double	threshold Internal accuracy threshold.
private List<TrainingActivity>	trainingActivites The training activities for evaluation.
private ValidationStrategy	validationStrategy The validation strategy.

Constructor Summary

FeatureSelectionHelper(DBManager dbManager, Set<FeatureTypes> featureSet, Configuration config, int size, Context context)
Constructor

Method Summary

void	doSearchForFeatures() Does run the search for the best feature subset.
double	evaluate(Set<FeatureTypes> selectedFeatures, Classifier classifier) Evaluation of a feature set.
String	getLastError() Getter for the last error
int	getMaxProgress() Getter for the maximum progress
String	getStartProgressMessage() Getter for the start progress message
boolean	hasSucceeded() Getter for the success flag
void	loadSamplesAndCreatePartioning() Does load available samples as feature vectors from DB and creates the partitioning for k-fold cross validation.
boolean	saveResultsToFile(String fileName) Method to store evaluation result to file.
void	updateProgress(String msg) Does publish the current progress with the given message.

Methods inherited from class de.unikassel.android.sdcframework.util.ObservableEventSourceImpl

getObservers, hasObservers, notify, onObserverRegistration, onObserverUnregistration, registerEventObserver, removeAllObservers, unregisterEventObserver

Methods inherited from class java.lang.Object

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

Field Detail

dbManager

private final DBManager dbManager

A reference to the database manager.

config

private Configuration config

The current configuration.

featureSet

private final Set<FeatureTypes> featureSet

The feature set to select features from.

sampleCount

private int sampleCount

The total sample count.

validationStrategy

private final ValidationStrategy validationStrategy

The validation strategy.

trainingActivites

private List<TrainingActivity> trainingActivites

The training activities for evaluation.

progressData

private final ObservableProgressData progressData

The observable progress data

progress

private int progress

The current progress.

succeeded

private boolean succeeded

The success state flag

lastError

private String lastError

The last error

mapSelectedClassId2SampleIds

private final android.support.v4.util.LongSparseArray<List<Long>> mapSelectedClassId2SampleIds

A map to store sample (feature vector) identifiers for the selected lass identifiers

context

private Context context

The context.

threshold

private double threshold

Internal accuracy threshold.

subSetSize

private final int subSetSize

The maximum subset size.

Constructor Detail

FeatureSelectionHelper

public FeatureSelectionHelper(DBManager dbManager,
                              Set<FeatureTypes> featureSet,
                              Configuration config,
                              int size,
                              Context context)

Constructor

Parameters:

dbManager - a reference to the database manager

featureSet - the set with the features

config - the current configuration

size - the subset size

context - the context

Method Detail

hasSucceeded

public final boolean hasSucceeded()

Getter for the success flag

Returns:

the success flag

getLastError

public final String getLastError()

Getter for the last error

Returns:

the last error

doSearchForFeatures

public final void doSearchForFeatures()

Does run the search for the best feature subset.

saveResultsToFile

public final boolean saveResultsToFile(String fileName)

Method to store evaluation result to file.

Parameters:

fileName - the filename

Returns:

true if successful, false otherwise

loadSamplesAndCreatePartioning

public final void loadSamplesAndCreatePartioning()
                                          throws Exception

Does load available samples as feature vectors from DB and creates the partitioning for k-fold cross validation.

Throws:

Exception

evaluate

public final double evaluate(Set<FeatureTypes> selectedFeatures,
                             Classifier classifier)

Evaluation of a feature set.

Parameters:

selectedFeatures - the selected features for evaluation

classifier - the classifier for evaluation

Returns:

the accuracy

updateProgress

public final void updateProgress(String msg)

Does publish the current progress with the given message.

Parameters:

msg - the progress message

getStartProgressMessage

public String getStartProgressMessage()

Getter for the start progress message

Returns:

the start message for progress observation

getMaxProgress

public final int getMaxProgress()

Getter for the maximum progress

Returns:

the maximum progress steps