ai.libs.hasco.knowledgebase

Class PerformanceKnowledgeBase

java.lang.Object

ai.libs.hasco.knowledgebase.PerformanceKnowledgeBase

public class PerformanceKnowledgeBase
extends java.lang.Object

Knowledge base that manages observed performance behavior

Constructor Summary

Constructors

Constructor and Description
PerformanceKnowledgeBase()
PerformanceKnowledgeBase(ai.libs.jaicore.basic.SQLAdapter sqlAdapter)

Method Summary

Modifier and Type	Method and Description
void	addPerformanceSample(java.lang.String benchmarkName, ComponentInstance componentInstance, double score, boolean addToDB)
void	addPerformanceSampleToDB(java.lang.String benchmarkName, ComponentInstance componentInstance, double score)
weka.core.Instances	createInstancesForPerformanceSamples(java.lang.String benchmarkName, ComponentInstance composition)
weka.core.Instance	getInstanceForIndividualCI(java.lang.String benchmarkName, ComponentInstance ci, double score)
weka.core.Instances	getInstancesForCI(ComponentInstance ci)
weka.core.Instances	getInstancesForCIList(java.util.List<ComponentInstance> componentInstances)
int	getNumSamples(java.lang.String benchmarkName, java.lang.String identifier) Returns the number of samples for the given benchmark name and pipeline identifier.
int	getNumSamplesForComponent(java.lang.String benchmarkName, Component component)
int	getNumSignificantSamples(java.lang.String benchmarkName, java.lang.String identifier) Returns the number of significant samples for the given benchmark name and pipeline identifier.
java.util.Map<java.lang.String,java.util.HashMap<java.lang.String,weka.core.Instances>>	getPerformanceInstancesIndividualComponents()
weka.core.Instances	getPerformanceSamples(java.lang.String benchmarkName, ComponentInstance composition)
java.util.Map<java.lang.String,java.util.HashMap<java.lang.String,java.util.List<org.apache.commons.lang3.tuple.Pair<ai.libs.hasco.knowledgebase.PerformanceKnowledgeBase.ParameterConfiguration,java.lang.Double>>>>	getPerformanceSamplesByIdentifier()
weka.core.Instances	getPerformanceSamplesForIndividualComponent(java.lang.String benchmarkName, Component component)
java.lang.String	getStringOfMaps()
void	initializeDBTables()
boolean	kCompletelyDistinctSamplesAvailable(java.lang.String benchmarkName, ComponentInstance composition, int minNum) Checks whether at least k sample are available, that are pairwise distinct in each of their attribute values.
boolean	kDistinctAttributeValuesAvailable(java.lang.String benchmarkName, ComponentInstance composition, int minNum) Checks whether k samples are available, which are
void	loadPerformanceSamplesFromDB()
void	setPerformanceSamples(weka.core.Instances instances, ComponentInstance composition, java.lang.String benchmarkName)

Methods inherited from class java.lang.Object

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

Constructor Detail

PerformanceKnowledgeBase

public PerformanceKnowledgeBase(ai.libs.jaicore.basic.SQLAdapter sqlAdapter)

PerformanceKnowledgeBase

public PerformanceKnowledgeBase()

Method Detail

getInstancesForCI

public weka.core.Instances getInstancesForCI(ComponentInstance ci)

getInstancesForCIList

public weka.core.Instances getInstancesForCIList(java.util.List<ComponentInstance> componentInstances)

addPerformanceSample

public void addPerformanceSample(java.lang.String benchmarkName,
                                 ComponentInstance componentInstance,
                                 double score,
                                 boolean addToDB)

getInstanceForIndividualCI

public weka.core.Instance getInstanceForIndividualCI(java.lang.String benchmarkName,
                                                     ComponentInstance ci,
                                                     double score)

getPerformanceInstancesIndividualComponents

public java.util.Map<java.lang.String,java.util.HashMap<java.lang.String,weka.core.Instances>> getPerformanceInstancesIndividualComponents()

getPerformanceSamplesByIdentifier

public java.util.Map<java.lang.String,java.util.HashMap<java.lang.String,java.util.List<org.apache.commons.lang3.tuple.Pair<ai.libs.hasco.knowledgebase.PerformanceKnowledgeBase.ParameterConfiguration,java.lang.Double>>>> getPerformanceSamplesByIdentifier()

getStringOfMaps

public java.lang.String getStringOfMaps()

initializeDBTables

public void initializeDBTables()

addPerformanceSampleToDB

public void addPerformanceSampleToDB(java.lang.String benchmarkName,
                                     ComponentInstance componentInstance,
                                     double score)

getNumSamples

public int getNumSamples(java.lang.String benchmarkName,
                         java.lang.String identifier)

Returns the number of samples for the given benchmark name and pipeline identifier.

Parameters:

benchmarkName -

identifier -

Returns:

getNumSignificantSamples

public int getNumSignificantSamples(java.lang.String benchmarkName,
                                    java.lang.String identifier)

Returns the number of significant samples for the given benchmark name and pipeline identifier. Significant means, that

Parameters:

benchmarkName -

identifier -

Returns:

loadPerformanceSamplesFromDB

public void loadPerformanceSamplesFromDB()

kDistinctAttributeValuesAvailable

public boolean kDistinctAttributeValuesAvailable(java.lang.String benchmarkName,
                                                 ComponentInstance composition,
                                                 int minNum)

Checks whether k samples are available, which are

Parameters:

k -

Returns:

kCompletelyDistinctSamplesAvailable

public boolean kCompletelyDistinctSamplesAvailable(java.lang.String benchmarkName,
                                                   ComponentInstance composition,
                                                   int minNum)

Checks whether at least k sample are available, that are pairwise distinct in each of their attribute values.

Parameters:

benchmarkName -

composition -

minNum - strictly positive minimum number of samples

Returns:

getPerformanceSamples

public weka.core.Instances getPerformanceSamples(java.lang.String benchmarkName,
                                                 ComponentInstance composition)

createInstancesForPerformanceSamples

public weka.core.Instances createInstancesForPerformanceSamples(java.lang.String benchmarkName,
                                                                ComponentInstance composition)

getPerformanceSamplesForIndividualComponent

public weka.core.Instances getPerformanceSamplesForIndividualComponent(java.lang.String benchmarkName,
                                                                       Component component)

getNumSamplesForComponent

public int getNumSamplesForComponent(java.lang.String benchmarkName,
                                     Component component)

setPerformanceSamples

public void setPerformanceSamples(weka.core.Instances instances,
                                  ComponentInstance composition,
                                  java.lang.String benchmarkName)