org.android.activityminer.model.evaluation
Class EvaluationResultCollection

java.lang.Object
  org.android.activityminer.model.evaluation.EvaluationResultCollection

All Implemented Interfaces:

Parcelable, SerializableData

public final class EvaluationResultCollection
extends Object
implements SerializableData, Parcelable

A collection of evaluation results.

Nested Class Summary

Nested classes/interfaces inherited from interface android.os.Parcelable

Parcelable.ClassLoaderCreator<T>, Parcelable.Creator<T>

Field Summary

private double	avgPredictionTime The average time to predict a sample during test runs.
private String	classifierDescription The description of the evaluated classifier.
private Configuration	configuration The configuration for the evaluation run.
static Parcelable.Creator<EvaluationResultCollection>	CREATOR The Parcelable creator.
private double	estimatedTrainingTime The average time needed for training with the given training set.
private ArrayList<EvaluationResult>	evalResults The evaluation results.
private String	evaluationStrategyDescription The description of the evaluation strategy.
private android.support.v4.util.LongSparseArray<String>	mapClassId2Name The mapping of class identifiers to names.
private double[]	minMaxPredictionTime The minimum and maximum of measured prediction times during test runs.
private List<DBSampleStatistic>	sampleStatistics The sample distribution statistics.

Fields inherited from interface android.os.Parcelable

CONTENTS_FILE_DESCRIPTOR, PARCELABLE_WRITE_RETURN_VALUE

Constructor Summary

EvaluationResultCollection(Configuration configuration, String classifierDescription, String evaluationStrategyDescription)
Constructor

EvaluationResultCollection(List<DBSampleStatistic> sampleStatistics, ArrayList<EvaluationResult> evalResults, Configuration configuration, double estimatedTrainingTime, double avgPredictionTime, double[] minMaxPredictionTime, String classifierDescription, String evaluationStrategyDescription, android.support.v4.util.LongSparseArray<String> mapClassId2Name)
Constructor

EvaluationResultCollection(List<DBSampleStatistic> sampleStatistics, Configuration configuration, String classifierDescription, String evaluationStrategyDescription, android.support.v4.util.LongSparseArray<String> mapClassId2Name)
Constructor

EvaluationResultCollection(Parcel source)
Constructor

Method Summary

void	addEvaluationResult(EvaluationResult evalResult) Does add an evaluation result to the collection.
int	describeContents()
double	getAvgPredictionTime() Getter for the average time to predict a sample during test runs.
android.support.v4.util.LongSparseArray<String>	getClassId2NameMapping() Getter for the class identifier to name mapping
String	getClassifierDescription() Getter for the classifier description.
Configuration	getConfiguration() Getter for the configuration
double	getEstimatedTrainingTime() Getter for the estimated training time for the used training set.
ArrayList<EvaluationResult>	getEvaluationResults() Getter for the evaluation results.
String	getEvaluationStrategyDescription() Getter for the evaluation strategy description.
double[]	getMinMaxPredictionTime() Getter for the minimum and maximum of measured prediction times.
List<DBSampleStatistic>	getSampleStatistics() Getter for the sample statistics.
double	getTotalSampleCount() Getter for the total sample count.
void	setAvgPredictionTime(double avgPredictionTime) Setter for the average time to predict a sample during test runs.
void	setEstimatedTrainingTime(double estimatedTrainingTime) Setter for the estimated training time for the used training set.
void	setMappingClassId2NameMapping(android.support.v4.util.LongSparseArray<String> mapClassId2Name) Setter for the class identifier to name mapping
void	setMinMaxPredictionTimeDelta(double[] minMaxPredictionTime) Setter for the minimum and maximum of measured prediction times.
void	setSampleStatistics(List<DBSampleStatistic> sampleStatistics) Setter for the sample statistics
int	size() Getter for the count of contained single evaluation results.
String	toXML()
void	writeToParcel(Parcel dest, int flags)

Methods inherited from class java.lang.Object

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

Field Detail

classifierDescription

private final String classifierDescription

The description of the evaluated classifier.

evaluationStrategyDescription

private final String evaluationStrategyDescription

The description of the evaluation strategy.

evalResults

private final ArrayList<EvaluationResult> evalResults

The evaluation results.

sampleStatistics

private final List<DBSampleStatistic> sampleStatistics

The sample distribution statistics.

estimatedTrainingTime

private double estimatedTrainingTime

The average time needed for training with the given training set.

avgPredictionTime

private double avgPredictionTime

The average time to predict a sample during test runs.

minMaxPredictionTime

private double[] minMaxPredictionTime

The minimum and maximum of measured prediction times during test runs.

configuration

private final Configuration configuration

The configuration for the evaluation run.

mapClassId2Name

private final android.support.v4.util.LongSparseArray<String> mapClassId2Name

The mapping of class identifiers to names.

CREATOR

public static final Parcelable.Creator<EvaluationResultCollection> CREATOR

The Parcelable creator.

Constructor Detail

EvaluationResultCollection

public EvaluationResultCollection(List<DBSampleStatistic> sampleStatistics,
                                  Configuration configuration,
                                  String classifierDescription,
                                  String evaluationStrategyDescription,
                                  android.support.v4.util.LongSparseArray<String> mapClassId2Name)

Constructor

Parameters:

sampleStatistics - the sample statistics

configuration - configuration for the evaluation run

classifierDescription - the classifier description

evaluationStrategyDescription - the description of the evaluation strategy.

mapClassId2Name - the mapping of class identifiers to names

EvaluationResultCollection

public EvaluationResultCollection(Configuration configuration,
                                  String classifierDescription,
                                  String evaluationStrategyDescription)

Constructor

Parameters:

configuration - configuration for the evaluation run

classifierDescription - the classifier description

evaluationStrategyDescription - the description of the evaluation strategy.

EvaluationResultCollection

public EvaluationResultCollection(List<DBSampleStatistic> sampleStatistics,
                                  ArrayList<EvaluationResult> evalResults,
                                  Configuration configuration,
                                  double estimatedTrainingTime,
                                  double avgPredictionTime,
                                  double[] minMaxPredictionTime,
                                  String classifierDescription,
                                  String evaluationStrategyDescription,
                                  android.support.v4.util.LongSparseArray<String> mapClassId2Name)

Constructor

Parameters:

sampleStatistics - the sample statistics

evalResults - the evaluation result list

configuration - configuration for the evaluation run

estimatedTrainingTime - the estimated time for training

avgPredictionTime - the average time to predict a sample

minMaxPredictionTime - the minimum and maximum of measured prediction times

classifierDescription - the classifier description

evaluationStrategyDescription - the description of the evaluation strategy

mapClassId2Name - the mapping of class identifiers to names

EvaluationResultCollection

public EvaluationResultCollection(Parcel source)

Constructor

Parameters:

source - the parcel to create from

Method Detail

writeToParcel

public final void writeToParcel(Parcel dest,
                                int flags)

Specified by:

writeToParcel in interface Parcelable

getEvaluationResults

public final ArrayList<EvaluationResult> getEvaluationResults()

Getter for the evaluation results.

Returns:

the evaluation results

getEvaluationStrategyDescription

public final String getEvaluationStrategyDescription()

Getter for the evaluation strategy description.

Returns:

the description of the evaluation strategy

getClassifierDescription

public final String getClassifierDescription()

Getter for the classifier description.

Returns:

the description of the classifier

getSampleStatistics

public final List<DBSampleStatistic> getSampleStatistics()

Getter for the sample statistics.

Returns:

the sample statistics

setSampleStatistics

public final void setSampleStatistics(List<DBSampleStatistic> sampleStatistics)

Setter for the sample statistics

Parameters:

sampleStatistics - the sample statistics to set

getConfiguration

public final Configuration getConfiguration()

Getter for the configuration

Returns:

the configuration

getEstimatedTrainingTime

public final double getEstimatedTrainingTime()

Getter for the estimated training time for the used training set.

Returns:

the estimated training time

setEstimatedTrainingTime

public final void setEstimatedTrainingTime(double estimatedTrainingTime)

Setter for the estimated training time for the used training set.

Parameters:

estimatedTrainingTime - the estimated training time

getAvgPredictionTime

public final double getAvgPredictionTime()

Getter for the average time to predict a sample during test runs.

Returns:

the average time to predict a sample during test runs

getMinMaxPredictionTime

public final double[] getMinMaxPredictionTime()

Getter for the minimum and maximum of measured prediction times.

Returns:

the minimum and maximum of measured prediction times

setAvgPredictionTime

public final void setAvgPredictionTime(double avgPredictionTime)

Setter for the average time to predict a sample during test runs.

Parameters:

avgPredictionTime - the average prediction time to set

setMinMaxPredictionTimeDelta

public final void setMinMaxPredictionTimeDelta(double[] minMaxPredictionTime)

Setter for the minimum and maximum of measured prediction times.

Parameters:

minMaxPredictionTime - the minimum and maximum of measured prediction times

getTotalSampleCount

public double getTotalSampleCount()

Getter for the total sample count.

Returns:

the total sample count.

addEvaluationResult

public final void addEvaluationResult(EvaluationResult evalResult)

Does add an evaluation result to the collection.

Parameters:

evalResult - the evaluation result to add

toXML

public final String toXML()
                   throws Exception

Specified by:

toXML in interface SerializableData

Throws:

Exception

describeContents

public final int describeContents()

Specified by:

describeContents in interface Parcelable

size

public final int size()

Getter for the count of contained single evaluation results.

Returns:

the count of contained single evaluation results

getClassId2NameMapping

public final android.support.v4.util.LongSparseArray<String> getClassId2NameMapping()

Getter for the class identifier to name mapping

Returns:

the mapping of class identifiers to names

setMappingClassId2NameMapping

public final void setMappingClassId2NameMapping(android.support.v4.util.LongSparseArray<String> mapClassId2Name)

Setter for the class identifier to name mapping

Parameters:

mapClassId2Name - the class identifier to name mapping