Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
DefaultExperiment.m_Statistics
the collected statistics.
|
Modifier and Type | Method and Description |
---|---|
List<EvaluationStatistics> |
DefaultExperiment.getStatistics()
Returns the current statistics.
|
List<EvaluationStatistics> |
Experiment.getStatistics()
Returns the current statistics.
|
Modifier and Type | Method and Description |
---|---|
protected void |
DefaultExperiment.notifyStatisticsNotificationListeners(List<EvaluationStatistics> stats)
Notifies all listeners of a new classifier/dataset combination.
|
Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
InMemory.m_Statistics
the collected statistics.
|
protected List<EvaluationStatistics> |
KeyValuePairs.m_Statistics
the statistics so far.
|
Modifier and Type | Method and Description |
---|---|
List<EvaluationStatistics> |
InMemory.read()
Reads the statistics.
|
List<EvaluationStatistics> |
EvaluationStatisticsHandler.read()
Reads the statistics.
|
List<EvaluationStatistics> |
Serialized.read()
Reads the statistics.
|
List<EvaluationStatistics> |
KeyValuePairs.read()
Reads the statistics.
|
List<EvaluationStatistics> |
IncrementalEvaluationStatisticsHandler.retrieve(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Retrieves the statis for the specified combination of classifier and dataset.
|
List<EvaluationStatistics> |
KeyValuePairs.retrieve(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Retrieves the statis for the specified combination of classifier and dataset.
|
Modifier and Type | Method and Description |
---|---|
int |
EvaluationStatisticsComparator.compare(EvaluationStatistics o1,
EvaluationStatistics o2)
Compares the two statistics.
|
Modifier and Type | Method and Description |
---|---|
String |
IncrementalEvaluationStatisticsHandler.append(List<EvaluationStatistics> stats)
Adds the given statistics.
|
String |
KeyValuePairs.append(List<EvaluationStatistics> stats)
Adds the given statistics.
|
static List<MultiLabelClassifier> |
EvaluationStatisticsUtils.classifiers(List<EvaluationStatistics> stats,
boolean sort)
Returns all the unique classifiers of all the statistics.
|
static List<String> |
EvaluationStatisticsUtils.commandLines(List<EvaluationStatistics> stats,
boolean sort)
Returns all the unique classifiers of all the statistics.
|
static List<String> |
EvaluationStatisticsUtils.headers(List<EvaluationStatistics> stats,
boolean moveRunFold,
boolean addClassifierRelation)
Creates a list of headers (= stats keys) from the provided statistics.
|
static List<String> |
EvaluationStatisticsUtils.keys(List<EvaluationStatistics> stats,
boolean sort)
Returns all the keys of all the statistics.
|
static List<String> |
EvaluationStatisticsUtils.measurements(List<EvaluationStatistics> stats)
Returns all available measurements.
|
static List<Number> |
EvaluationStatisticsUtils.measurements(List<EvaluationStatistics> stats,
MultiLabelClassifier classifier,
weka.core.Instances dataset,
String measurement)
Returns all the values of a specific measurement for the specified classifier/dataset combination.
|
static List<Number> |
EvaluationStatisticsUtils.measurements(List<EvaluationStatistics> stats,
String classifier,
String dataset,
String measurement)
Returns all the values of a specific measurement for the specified classifier/dataset combination.
|
static int[][] |
EvaluationStatisticsUtils.rankMatrix(List<EvaluationStatistics> stats,
String measurement)
Rank Matrix
|
static List<String> |
EvaluationStatisticsUtils.relations(List<EvaluationStatistics> stats,
boolean sort)
Returns all the unique relations of all the statistics.
|
static double[][] |
EvaluationStatisticsUtils.valueMatrix(List<EvaluationStatistics> stats,
String measurement)
Value Matrix
|
String |
InMemory.write(List<EvaluationStatistics> stats)
Stores the given statistics.
|
String |
EvaluationStatisticsHandler.write(List<EvaluationStatistics> stats)
Stores the given statistics.
|
String |
Serialized.write(List<EvaluationStatistics> stats)
Stores the given statistics.
|
String |
KeyValuePairs.write(List<EvaluationStatistics> stats)
Stores the given statistics.
|
Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
EvaluatorJob.m_Result
the results.
|
Modifier and Type | Method and Description |
---|---|
List<EvaluationStatistics> |
EvaluatorJob.call()
Performs the evaluation and stores the results.
|
protected abstract List<EvaluationStatistics> |
EvaluatorJob.doCall()
Performs the actual evaluation.
|
List<EvaluationStatistics> |
Evaluator.evaluate(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Returns the evaluation statistics generated for the dataset.
|
List<EvaluationStatistics> |
RepeatedRuns.evaluate(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Returns the evaluation statistics generated for the dataset.
|
List<EvaluationStatistics> |
PercentageSplit.evaluate(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Returns the evaluation statistics generated for the dataset.
|
List<EvaluationStatistics> |
CrossValidation.evaluate(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Returns the evaluation statistics generated for the dataset.
|
protected List<EvaluationStatistics> |
RepeatedRuns.evaluateParallel(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Executes the runs in sequential order.
|
protected List<EvaluationStatistics> |
CrossValidation.evaluateParallel(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Returns the evaluation statistics generated for the dataset (parallel execution).
|
protected List<EvaluationStatistics> |
RepeatedRuns.evaluateSequential(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Executes the runs in sequential order.
|
protected List<EvaluationStatistics> |
CrossValidation.evaluateSequential(MultiLabelClassifier classifier,
weka.core.Instances dataset)
Returns the evaluation statistics generated for the dataset (sequential execution).
|
List<EvaluationStatistics> |
EvaluatorJob.getResult()
Returns the results.
|
Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
StatisticsNotificationEvent.m_Statistics
the statistics.
|
Modifier and Type | Method and Description |
---|---|
List<EvaluationStatistics> |
StatisticsNotificationEvent.getStatistics()
Returns the statistics.
|
Constructor and Description |
---|
StatisticsNotificationEvent(Experiment source,
List<EvaluationStatistics> stats)
Gets called when the experiment makes new statistics available.
|
Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
InMemory.m_Statistics
the statistics.
|
Modifier and Type | Method and Description |
---|---|
protected EvaluationStatistics |
SimpleAggregate.doAggregate(List<EvaluationStatistics> stats)
Calculates the actual aggregates.
|
Modifier and Type | Method and Description |
---|---|
protected List<EvaluationStatistics> |
AbstractMeasurementEvaluationStatisticsExporter.aggregate(List<EvaluationStatistics> stats)
Aggregates the stats and returns the "mean".
|
List<EvaluationStatistics> |
SimpleAggregate.aggregate(List<EvaluationStatistics> stats)
Aggregates the statistics and returns these.
|
List<EvaluationStatistics> |
AggregatedEvaluationStatisticsExporter.aggregate(List<EvaluationStatistics> stats)
Aggregates the statistics and returns these.
|
protected List<EvaluationStatistics> |
WekaFilter.filter(List<EvaluationStatistics> stats)
Filters the statistics using the specified filter.
|
protected List<EvaluationStatistics> |
WekaFilter.fromInstances(weka.core.Instances data)
Converts the Instances back into statistics.
|
List<EvaluationStatistics> |
InMemory.getStatistics()
Returns the statistics.
|
Modifier and Type | Method and Description |
---|---|
protected List<EvaluationStatistics> |
AbstractMeasurementEvaluationStatisticsExporter.aggregate(List<EvaluationStatistics> stats)
Aggregates the stats and returns the "mean".
|
List<EvaluationStatistics> |
SimpleAggregate.aggregate(List<EvaluationStatistics> stats)
Aggregates the statistics and returns these.
|
List<EvaluationStatistics> |
AggregatedEvaluationStatisticsExporter.aggregate(List<EvaluationStatistics> stats)
Aggregates the statistics and returns these.
|
protected EvaluationStatistics |
SimpleAggregate.doAggregate(List<EvaluationStatistics> stats)
Calculates the actual aggregates.
|
protected String |
InMemory.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected String |
TabSeparated.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected String |
AbstractMeasurementEvaluationStatisticsExporter.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected String |
SimpleAggregate.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected abstract String |
AbstractEvaluationStatisticsExporter.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected String |
WekaFilter.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected String |
MultiExporter.doExport(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected String |
LatexMeasurement.doExportAggregated(List<EvaluationStatistics> stats)
Exports the aggregated statistics.
|
protected abstract String |
AbstractMeasurementEvaluationStatisticsExporter.doExportAggregated(List<EvaluationStatistics> stats)
Exports the aggregated statistics.
|
protected String |
TabSeparatedMeasurement.doExportAggregated(List<EvaluationStatistics> stats)
Exports the aggregated statistics.
|
String |
EvaluationStatisticsExporter.export(List<EvaluationStatistics> stats)
Exports the statistics.
|
String |
AbstractFileBasedEvaluationStatisticsExporter.export(List<EvaluationStatistics> stats)
Exports the statistics.
|
String |
AbstractEvaluationStatisticsExporter.export(List<EvaluationStatistics> stats)
Exports the statistics.
|
protected List<EvaluationStatistics> |
WekaFilter.filter(List<EvaluationStatistics> stats)
Filters the statistics using the specified filter.
|
protected weka.core.Instances |
WekaFilter.toInstances(List<EvaluationStatistics> stats)
Turns the statistics into Instances.
|
Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
EvaluationStatisticsTableModel.m_Statistics
the underlying statistics.
|
protected List<EvaluationStatistics> |
MeasurementEvaluationStatisticsTableModel.m_Statistics
the underlying statistics.
|
Modifier and Type | Method and Description |
---|---|
List<EvaluationStatistics> |
EvaluationStatisticsTableModel.getStatistics()
Returns the underlying statistics.
|
List<EvaluationStatistics> |
MeasurementEvaluationStatisticsTableModel.getStatistics()
Returns the underlying statistics.
|
Constructor and Description |
---|
EvaluationStatisticsTableModel(List<EvaluationStatistics> stats)
Initializes the model with the statistics.
|
MeasurementEvaluationStatisticsTableModel(List<EvaluationStatistics> stats,
String measurement,
boolean showIndex)
Initializes the model with the statistics.
|
Modifier and Type | Field and Description |
---|---|
protected List<EvaluationStatistics> |
Statistics.m_Statistics
the collected statistics.
|
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