A B C D E F G H I L M N O P R S T V W Y

A

accepts() - Method in class adams.data.conversion.DatasetToWekaInstances

Returns the class that is accepted as input.

accepts() - Method in class adams.data.conversion.WekaInstancesToDataset

Returns the class that is accepted as input.

accepts() - Method in class adams.flow.transformer.CrossValidationClassifier

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.PredictClassifier

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.PredictClusterer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.TestClassifier

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.TrainClassifier

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.TrainClusterer

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.transformer.Transform

Returns the class that the consumer accepts.

accepts() - Method in class adams.flow.webservice.CrossValidationClassifier

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.PredictClassifier

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.PredictClusterer

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.TestClassifier

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.TrainClassifier

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.TrainClusterer

Returns the classes that are accepted input.

accepts() - Method in class adams.flow.webservice.Transform

Returns the classes that are accepted input.

actorName - Variable in class nz.ac.waikato.adams.webservice.weka.Transform

actorNameTipText() - Method in class adams.flow.transformer.Transform

description of this option.

adams.data.conversion - package adams.data.conversion

adams.flow.core - package adams.flow.core

adams.flow.transformer - package adams.flow.transformer

adams.flow.webservice - package adams.flow.webservice

addAttribute(Dataset, String, Type) - Static method in class adams.flow.core.DatasetHelper

Adds an attribute to the dataset.

addStatistic(Dataset, String, double) - Static method in class adams.flow.core.DatasetHelper

Adds a statistic as key/value pair to the dataset as new data row.

addValue(Instance, int, String) - Static method in class adams.flow.core.DatasetHelper

Adds the string value to the Instance.

addValue(Instance, int, double) - Static method in class adams.flow.core.DatasetHelper

Adds the double value to the Instance.

Attribute - Class in nz.ac.waikato.adams.webservice.weka

Java class for attribute complex type.

Attribute() - Constructor for class nz.ac.waikato.adams.webservice.weka.Attribute

attribute - Variable in class nz.ac.waikato.adams.webservice.weka.Attributes

attributes - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

Attributes - Class in nz.ac.waikato.adams.webservice.weka

Java class for attributes complex type.

Attributes() - Constructor for class nz.ac.waikato.adams.webservice.weka.Attributes

attributes - Variable in class nz.ac.waikato.adams.webservice.weka.Header

B

bestClassifierSetup - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Body - Class in nz.ac.waikato.adams.webservice.weka

Java class for body complex type.

Body() - Constructor for class nz.ac.waikato.adams.webservice.weka.Body

body - Variable in class nz.ac.waikato.adams.webservice.weka.Dataset

C

classAttribute - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

classifier - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

classifier - Variable in class nz.ac.waikato.adams.webservice.weka.ListClassifiersResponse

classifier - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

classifier - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

classifierCacheSizeTipText() - Method in class adams.flow.webservice.WekaServiceWS

Description of this option

classifierTipText() - Method in class adams.flow.transformer.CrossValidationClassifier

description of this option

classifierTipText() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

description of this option

classifierTipText() - Method in class adams.flow.transformer.TrainClassifier

description of this option

classifierTipText() - Method in class adams.flow.webservice.DisplayClassifier

Description of this option.

clusterer - Variable in class nz.ac.waikato.adams.webservice.weka.ListClusterersResponse

clusterer - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

clustererCacheSizeTipText() - Method in class adams.flow.webservice.WekaServiceWS

Description of this option

clustererTipText() - Method in class adams.flow.transformer.TrainClusterer

description of this option

clusterTipText() - Method in class adams.flow.webservice.DisplayCluster

description of this option.

content - Variable in class nz.ac.waikato.adams.webservice.weka.Property

createAttribute() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Attribute

createAttributes() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Attributes

createBody() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Body

createCrossValidateClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of CrossValidateClassifier

createCrossValidateClassifier(CrossValidateClassifier) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<CrossValidateClassifier>}

createCrossValidateClassifierResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of CrossValidateClassifierResponse

createCrossValidateClassifierResponse(CrossValidateClassifierResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<CrossValidateClassifierResponse>}

createCrossValidateResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of CrossValidateResponseObject

createDataset() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Dataset

createDisplayClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of DisplayClassifier

createDisplayClassifier(DisplayClassifier) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<DisplayClassifier>}

createDisplayClassifierResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of DisplayClassifierResponse

createDisplayClassifierResponse(DisplayClassifierResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<DisplayClassifierResponse>}

createDisplayClassifierResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of DisplayClassifierResponseObject

createDisplayClusterer() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of DisplayClusterer

createDisplayClusterer(DisplayClusterer) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<DisplayClusterer>}

createDisplayClustererResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of DisplayClustererResponse

createDisplayClustererResponse(DisplayClustererResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<DisplayClustererResponse>}

createDisplayClustererResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of DisplayClustererResponseObject

createHeader() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Header

createInstance() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Instance

createInstances() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Instances

createLabels() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Labels

createListClassifiers() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of ListClassifiers

createListClassifiers(ListClassifiers) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<ListClassifiers>}

createListClassifiersResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of ListClassifiersResponse

createListClassifiersResponse(ListClassifiersResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<ListClassifiersResponse>}

createListClusterers() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of ListClusterers

createListClusterers(ListClusterers) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<ListClusterers>}

createListClusterersResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of ListClusterersResponse

createListClusterersResponse(ListClusterersResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<ListClusterersResponse>}

createMetadata() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Metadata

createOptimizeClassifierMultiSearch() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of OptimizeClassifierMultiSearch

createOptimizeClassifierMultiSearch(OptimizeClassifierMultiSearch) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<OptimizeClassifierMultiSearch>}

createOptimizeClassifierMultiSearchResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of OptimizeClassifierMultiSearchResponse

createOptimizeClassifierMultiSearchResponse(OptimizeClassifierMultiSearchResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<OptimizeClassifierMultiSearchResponse>}

createOptimizeReturnObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of OptimizeReturnObject

createPredictClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of PredictClassifier

createPredictClassifier(PredictClassifier) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<PredictClassifier>}

createPredictClassifierResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of PredictClassifierResponse

createPredictClassifierResponse(PredictClassifierResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<PredictClassifierResponse>}

createPredictClassifierResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of PredictClassifierResponseObject

createPredictClusterer() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of PredictClusterer

createPredictClusterer(PredictClusterer) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<PredictClusterer>}

createPredictClustererResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of PredictClustererResponse

createPredictClustererResponse(PredictClustererResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<PredictClustererResponse>}

createPredictClustererResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of PredictClustererResponseObject

createProperty() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Property

createTestClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TestClassifier

createTestClassifier(TestClassifier) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TestClassifier>}

createTestClassifierResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TestClassifierResponse

createTestClassifierResponse(TestClassifierResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TestClassifierResponse>}

createTestClassifierResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TestClassifierResponseObject

createTrainClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TrainClassifier

createTrainClassifier(TrainClassifier) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TrainClassifier>}

createTrainClassifierResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TrainClassifierResponse

createTrainClassifierResponse(TrainClassifierResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TrainClassifierResponse>}

createTrainClassifierResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TrainClassifierResponseObject

createTrainClusterer() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TrainClusterer

createTrainClusterer(TrainClusterer) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TrainClusterer>}

createTrainClustererResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TrainClustererResponse

createTrainClustererResponse(TrainClustererResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TrainClustererResponse>}

createTrainClustererResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TrainClustererResponseObject

createTransform() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Transform

createTransform(Transform) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<Transform>}

createTransformResponse() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TransformResponse

createTransformResponse(TransformResponse) - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of JAXBElement<TransformResponse>}

createTransformResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of TransformResponseObject

createValue() - Method in class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create an instance of Value

crossValidateClassifier(Dataset, int, int, String) - Method in class adams.flow.webservice.SimpleWekaService

Cross-validates a classifier on a dataset.

CrossValidateClassifier - Class in nz.ac.waikato.adams.webservice.weka

Java class for crossValidateClassifier complex type.

CrossValidateClassifier() - Constructor for class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

crossValidateClassifier(Dataset, int, int, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

CrossValidateClassifierResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for crossValidateClassifierResponse complex type.

CrossValidateClassifierResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifierResponse

crossValidateResponse - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifierResponse

CrossValidateResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for crossValidateResponseObject complex type.

CrossValidateResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

CrossValidationClassifier - Class in adams.flow.transformer

Performs cross-validation of a classifier on a dataset.

CrossValidationClassifier() - Constructor for class adams.flow.transformer.CrossValidationClassifier

CrossValidationClassifier - Class in adams.flow.webservice

client for using the cross validation web service.

CrossValidationClassifier() - Constructor for class adams.flow.webservice.CrossValidationClassifier

D

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Dataset - Class in nz.ac.waikato.adams.webservice.weka

Java class for Dataset complex type.

Dataset() - Constructor for class nz.ac.waikato.adams.webservice.weka.Dataset

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClassifier

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClusterer

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.TestClassifier

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

dataset - Variable in class nz.ac.waikato.adams.webservice.weka.Transform

DatasetHelper - Class in adams.flow.core

Helper class for converting to and from xrff datasets

DatasetHelper() - Constructor for class adams.flow.core.DatasetHelper

datasetToString(Dataset) - Static method in class adams.flow.core.DatasetHelper

For outputting the dataset in debug mode.

DatasetToWekaInstances - Class in adams.data.conversion

Converts a webservice Dataset object into a WEKA Instances object.

DatasetToWekaInstances() - Constructor for class adams.data.conversion.DatasetToWekaInstances

defineOptions() - Method in class adams.flow.transformer.CrossValidationClassifier

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.PredictClassifier

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.PredictClusterer

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.TestClassifier

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.TrainClassifier

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.TrainClusterer

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.transformer.Transform

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.webservice.DisplayClassifier

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.webservice.DisplayCluster

Adds options to the internal list of options.

defineOptions() - Method in class adams.flow.webservice.WekaServiceWS

Adds options to the internal list of options.

DisplayClassifier - Class in adams.flow.webservice

Displays the string representation of a built classifier model.

DisplayClassifier() - Constructor for class adams.flow.webservice.DisplayClassifier

displayClassifier(String) - Method in class adams.flow.webservice.SimpleWekaService

Returns the string representation of the specified classifier.

DisplayClassifier - Class in nz.ac.waikato.adams.webservice.weka

Java class for displayClassifier complex type.

DisplayClassifier() - Constructor for class nz.ac.waikato.adams.webservice.weka.DisplayClassifier

displayClassifier(String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

DisplayClassifierResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for displayClassifierResponse complex type.

DisplayClassifierResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponse

DisplayClassifierResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for displayClassifierResponseObject complex type.

DisplayClassifierResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

DisplayCluster - Class in adams.flow.webservice

Displays the string representation of a clusterer model.

DisplayCluster() - Constructor for class adams.flow.webservice.DisplayCluster

displayClusterer(String) - Method in class adams.flow.webservice.SimpleWekaService

Returns the string representation of the specified clusterer.

DisplayClusterer - Class in nz.ac.waikato.adams.webservice.weka

Java class for displayClusterer complex type.

DisplayClusterer() - Constructor for class nz.ac.waikato.adams.webservice.weka.DisplayClusterer

displayClusterer(String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

DisplayClustererResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for displayClustererResponse complex type.

DisplayClustererResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponse

DisplayClustererResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for displayClustererResponseObject complex type.

DisplayClustererResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

displayString(Dataset) - Method in class adams.flow.webservice.SimpleWekaService

For outputting the dataset in debug mode.

displayString - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

displayString - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponse

displayString - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

doConvert() - Method in class adams.data.conversion.DatasetToWekaInstances

Performs the actual conversion.

doConvert() - Method in class adams.data.conversion.WekaInstancesToDataset

Performs the actual conversion.

doExecute() - Method in class adams.flow.transformer.CrossValidationClassifier

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.PredictClassifier

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.PredictClusterer

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.TestClassifier

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.TrainClassifier

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.TrainClusterer

Executes the flow item.

doExecute() - Method in class adams.flow.transformer.Transform

Executes the flow item.

doQuery() - Method in class adams.flow.webservice.CrossValidationClassifier

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.DisplayClassifier

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.DisplayCluster

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.ListClassifiers

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.ListClusterers

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.PredictClassifier

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.PredictClusterer

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.TestClassifier

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.TrainClassifier

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.TrainClusterer

Performs the actual webservice query.

doQuery() - Method in class adams.flow.webservice.Transform

Performs the actual webservice query.

doStart() - Method in class adams.flow.webservice.WekaServiceWS

Performs the actual start of the service.

doStop() - Method in class adams.flow.webservice.WekaServiceWS

Performs the actual stop of the service.

E

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

errorMessage - Variable in class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

evaluation - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

evaluationTipText() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

description of this option.

evaluationToDataset(Evaluation) - Static method in class adams.flow.core.DatasetHelper

Turns the evaluation object into a Dataset structure.

F

folds - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

foldsTipText() - Method in class adams.flow.transformer.CrossValidationClassifier

Description of this option

format - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

fromInstances(Instances) - Static method in class adams.flow.core.DatasetHelper

static class that converts an instances object into an xrff dataset

fromValue(String) - Static method in enum nz.ac.waikato.adams.webservice.weka.InstanceType

fromValue(String) - Static method in enum nz.ac.waikato.adams.webservice.weka.Type

fromValue(String) - Static method in enum nz.ac.waikato.adams.webservice.weka.YesNo

G

generates() - Method in class adams.data.conversion.DatasetToWekaInstances

Returns the class that is generated as output.

generates() - Method in class adams.data.conversion.WekaInstancesToDataset

Returns the class that is generated as output.

generates() - Method in class adams.flow.transformer.CrossValidationClassifier

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.PredictClassifier

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.PredictClusterer

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.TestClassifier

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.TrainClassifier

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.TrainClusterer

Returns the class of objects that it generates.

generates() - Method in class adams.flow.transformer.Transform

Returns the class of objects that it generates.

generates() - Method in class adams.flow.webservice.CrossValidationClassifier

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.DisplayClassifier

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.DisplayCluster

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.ListClassifiers

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.ListClusterers

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Returns the classes that are accepted input.

generates() - Method in class adams.flow.webservice.PredictClassifier

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.PredictClusterer

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.TestClassifier

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.TrainClassifier

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.TrainClusterer

Returns the classes that this client generates.

generates() - Method in class adams.flow.webservice.Transform

Returns the classes that this client generates.

getActorName() - Method in class adams.flow.transformer.Transform

get the name of the model to use.

getActorName() - Method in class nz.ac.waikato.adams.webservice.weka.Transform

Gets the value of the actorName property.

getAttribute() - Method in class nz.ac.waikato.adams.webservice.weka.Attributes

Gets the value of the attribute property.

getAttributes() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the attributes property.

getAttributes() - Method in class nz.ac.waikato.adams.webservice.weka.Header

Gets the value of the attributes property.

getBestClassifierSetup() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Gets the value of the bestClassifierSetup property.

getBody() - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Gets the value of the body property.

getClassAttribute() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the classAttribute property.

getClassifier() - Method in class adams.flow.transformer.CrossValidationClassifier

get the classifier to use

getClassifier() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

get the classifier to use

getClassifier() - Method in class adams.flow.transformer.TrainClassifier

get the classifier used for training

getClassifier() - Method in class adams.flow.webservice.DisplayClassifier

get the name of the classifier to display.

getClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Gets the value of the classifier property.

getClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.ListClassifiersResponse

Gets the value of the classifier property.

getClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Gets the value of the classifier property.

getClassifier() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

Gets the value of the classifier property.

getClassifierCacheSize() - Method in class adams.flow.webservice.WekaServiceWS

Get the number of folds used for the cross validation

getClassifierInstance() - Method in class adams.flow.transformer.CrossValidationClassifier

get the classifier from the global actor containing the classifier

getClassifierInstance() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

get the classifier from the global actor containing the classifier

getClassifierInstance() - Method in class adams.flow.transformer.TrainClassifier

get the classifier from the global actor containing the classifer

getClusterer() - Method in class adams.flow.transformer.TrainClusterer

get the clusterer used for training

getClusterer() - Method in class adams.flow.webservice.DisplayCluster

get the name of the clusterer.

getClusterer() - Method in class nz.ac.waikato.adams.webservice.weka.ListClusterersResponse

Gets the value of the clusterer property.

getClusterer() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

Gets the value of the clusterer property.

getClustererCacheSize() - Method in class adams.flow.webservice.WekaServiceWS

Get the number of folds used for the cross validation

getClustererInstance() - Method in class adams.flow.transformer.TrainClusterer

get the clusterer from the global actor containing the clusterer.

getContent() - Method in class nz.ac.waikato.adams.webservice.weka.Property

Gets the value of the content property.

getCrossValidateResponse() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifierResponse

Gets the value of the crossValidateResponse property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifier

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClusterer

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifier

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

Gets the value of the dataset property.

getDataset() - Method in class nz.ac.waikato.adams.webservice.weka.Transform

Gets the value of the dataset property.

getDateFormat() - Static method in class adams.flow.core.DatasetHelper

Returns the DateFormat instance to use.

getDefaultURL() - Method in class adams.flow.webservice.WekaServiceWS

Returns the default URL for the service.

getDisplayString() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

Gets the value of the displayString property.

getDisplayString() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponse

Gets the value of the displayString property.

getDisplayString() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

Gets the value of the displayString property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

Gets the value of the errorMessage property.

getErrorMessage() - Method in class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

Gets the value of the errorMessage property.

getEvaluation() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Sets the type of statistic to evaluate the performance on.

getEvaluation() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Gets the value of the evaluation property.

getFolds() - Method in class adams.flow.transformer.CrossValidationClassifier

Get the number of folds used for the cross validation

getFolds() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Gets the value of the folds property.

getFormat() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the format property.

getHeader() - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Gets the value of the header property.

getImplementation() - Method in class adams.flow.webservice.WekaServiceWS

Returns the webservice implementation to use.

getInstance() - Method in class nz.ac.waikato.adams.webservice.weka.Instances

Gets the value of the instance property.

getInstances() - Method in class nz.ac.waikato.adams.webservice.weka.Body

Gets the value of the instances property.

getInstanceType() - Method in class nz.ac.waikato.adams.webservice.weka.Instance

Gets the value of the instanceType property.

getInstanceWeight() - Method in class nz.ac.waikato.adams.webservice.weka.Instance

Gets the value of the instanceWeight property.

getLabel() - Method in class nz.ac.waikato.adams.webservice.weka.Labels

Gets the value of the label property.

getLabels() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the labels property.

getMetadata() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the metadata property.

getModel() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifier

Gets the value of the model property.

getModel() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClusterer

Gets the value of the model property.

getModel() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

Gets the value of the model property.

getModel() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

Gets the value of the model property.

getModelName() - Method in class adams.flow.transformer.PredictClassifier

get the name of the model used for prediction

getModelName() - Method in class adams.flow.transformer.PredictClusterer

get the name of the model used for prediction.

getModelName() - Method in class adams.flow.transformer.TestClassifier

get the name of the model used for testing

getModelName() - Method in class adams.flow.transformer.TrainClassifier

get the name of the model used for training

getModelName() - Method in class adams.flow.transformer.TrainClusterer

get the name of the model used for training

getModelName() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifier

Gets the value of the modelName property.

getModelName() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClusterer

Gets the value of the modelName property.

getModelName() - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifier

Gets the value of the modelName property.

getModelName() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

Gets the value of the modelName property.

getName() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the name property.

getName() - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Gets the value of the name property.

getName() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

Gets the value of the name property.

getNotes() - Method in class nz.ac.waikato.adams.webservice.weka.Header

Gets the value of the notes property.

getOptimizeReturn() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearchResponse

Gets the value of the optimizeReturn property.

getOwner() - Method in interface adams.flow.webservice.OwnedByWekaServiceWS

Returns the current owner.

getOwner() - Method in class adams.flow.webservice.SimpleWekaService

Returns the current owner of this webservice.

getParameters() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Returns the search parameters.

getPredictClustererResponseObject() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponse

Gets the value of the predictClustererResponseObject property.

getPredictResponse() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponse

Gets the value of the predictResponse property.

getProperty() - Method in class nz.ac.waikato.adams.webservice.weka.Metadata

Gets the value of the property property.

getPropertyName() - Method in class nz.ac.waikato.adams.webservice.weka.Property

Gets the value of the propertyName property.

getQuickInfo() - Method in class adams.flow.transformer.CrossValidationClassifier

Returns a quick info about the actor, which will be displayed in the GUI.

getQuickInfo() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Returns a quick info about the actor, which will be displayed in the GUI.

getQuickInfo() - Method in class adams.flow.transformer.PredictClassifier

Returns a quick info about the actor, which will be displayed in the GUI.

getQuickInfo() - Method in class adams.flow.transformer.PredictClusterer

Returns a quick info about the actor, which will be displayed in the GUI.

getQuickInfo() - Method in class adams.flow.transformer.TestClassifier

Returns a quick info about the actor, which will be displayed in the GUI.

getQuickInfo() - Method in class adams.flow.transformer.TrainClassifier

Returns a quick info about the actor, which will be displayed in the GUI.

getQuickInfo() - Method in class adams.flow.transformer.TrainClusterer

Returns a quick info about the actor, which will be displayed in the GUI.

getResponseData() - Method in class adams.flow.webservice.CrossValidationClassifier

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.DisplayClassifier

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.DisplayCluster

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.ListClassifiers

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.ListClusterers

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.PredictClassifier

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.PredictClusterer

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.TestClassifier

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.TrainClassifier

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.TrainClusterer

Returns the response data, if any.

getResponseData() - Method in class adams.flow.webservice.Transform

Returns the response data, if any.

getReturnDataset() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

Gets the value of the returnDataset property.

getReturnDataset() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

Gets the value of the returnDataset property.

getReturnDataset() - Method in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

Gets the value of the returnDataset property.

getReturnDataset() - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

Gets the value of the returnDataset property.

getReturnDataset() - Method in class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

Gets the value of the returnDataset property.

getReturnedDisplay() - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponse

Gets the value of the returnedDisplay property.

getSearchParameters() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Gets the value of the searchParameters property.

getSeed() - Method in class adams.flow.transformer.CrossValidationClassifier

get the seed used for the cross validation

getSeed() - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Gets the value of the seed property.

getTestReponse() - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponse

Gets the value of the testReponse property.

getTrainReponse() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponse

Gets the value of the trainReponse property.

getTrainReponse() - Method in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponse

Gets the value of the trainReponse property.

getTransformResponse() - Method in class nz.ac.waikato.adams.webservice.weka.TransformResponse

Gets the value of the transformResponse property.

getType() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the type property.

getValue() - Method in class nz.ac.waikato.adams.webservice.weka.Instance

Gets the value of the value property.

getValue() - Method in class nz.ac.waikato.adams.webservice.weka.Value

Gets the value of the value property.

getValueIndex() - Method in class nz.ac.waikato.adams.webservice.weka.Value

Gets the value of the valueIndex property.

getValueMissing() - Method in class nz.ac.waikato.adams.webservice.weka.Value

Gets the value of the valueMissing property.

getVersion() - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Gets the value of the version property.

getWarningMessage() - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Gets the value of the warningMessage property.

getWeight() - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Gets the value of the weight property.

getWekaServicePort() - Method in class nz.ac.waikato.adams.webservice.weka.WekaServiceService

getWekaServicePort(WebServiceFeature...) - Method in class nz.ac.waikato.adams.webservice.weka.WekaServiceService

getWsdlLocation() - Method in class adams.flow.webservice.CrossValidationClassifier

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.DisplayClassifier

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.DisplayCluster

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.ListClassifiers

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.ListClusterers

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.PredictClassifier

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.PredictClusterer

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.TestClassifier

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.TrainClassifier

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.TrainClusterer

Returns the WSDL location.

getWsdlLocation() - Method in class adams.flow.webservice.Transform

Returns the WSDL location.

globalInfo() - Method in class adams.data.conversion.DatasetToWekaInstances

Returns a string describing the object.

globalInfo() - Method in class adams.data.conversion.WekaInstancesToDataset

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.CrossValidationClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.PredictClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.PredictClusterer

globalInfo() - Method in class adams.flow.transformer.TestClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.TrainClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.TrainClusterer

Returns a string describing the object.

globalInfo() - Method in class adams.flow.transformer.Transform

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.CrossValidationClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.DisplayClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.DisplayCluster

Adds options to the internal list of options.

globalInfo() - Method in class adams.flow.webservice.ListClassifiers

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.ListClusterers

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.PredictClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.PredictClusterer

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.SimpleWekaService

Returns a string for the GUI that describes this object.

globalInfo() - Method in class adams.flow.webservice.TestClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.TrainClassifier

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.TrainClusterer

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.Transform

Returns a string describing the object.

globalInfo() - Method in class adams.flow.webservice.WekaServiceWS

Returns a string describing the object.

H

hasResponseData() - Method in class adams.flow.webservice.CrossValidationClassifier

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.DisplayClassifier

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.DisplayCluster

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.ListClassifiers

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.ListClusterers

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.PredictClassifier

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.PredictClusterer

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.TestClassifier

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.TrainClassifier

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.TrainClusterer

Checks whether there is any response data to be collected.

hasResponseData() - Method in class adams.flow.webservice.Transform

Checks whether there is any response data to be collected.

header - Variable in class nz.ac.waikato.adams.webservice.weka.Dataset

Header - Class in nz.ac.waikato.adams.webservice.weka

Java class for header complex type.

Header() - Constructor for class nz.ac.waikato.adams.webservice.weka.Header

I

implementationTipText() - Method in class adams.flow.webservice.WekaServiceWS

Description of this option.

Instance - Class in nz.ac.waikato.adams.webservice.weka

Java class for instance complex type.

Instance() - Constructor for class nz.ac.waikato.adams.webservice.weka.Instance

instance - Variable in class nz.ac.waikato.adams.webservice.weka.Instances

instances - Variable in class nz.ac.waikato.adams.webservice.weka.Body

Instances - Class in nz.ac.waikato.adams.webservice.weka

Java class for instances complex type.

Instances() - Constructor for class nz.ac.waikato.adams.webservice.weka.Instances

instanceType - Variable in class nz.ac.waikato.adams.webservice.weka.Instance

InstanceType - Enum in nz.ac.waikato.adams.webservice.weka

Java class for InstanceType.

instanceWeight - Variable in class nz.ac.waikato.adams.webservice.weka.Instance

L

label - Variable in class nz.ac.waikato.adams.webservice.weka.Labels

labels - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

Labels - Class in nz.ac.waikato.adams.webservice.weka

Java class for labels complex type.

Labels() - Constructor for class nz.ac.waikato.adams.webservice.weka.Labels

ListClassifiers - Class in adams.flow.webservice

Lists all currently available classifier models.

ListClassifiers() - Constructor for class adams.flow.webservice.ListClassifiers

listClassifiers() - Method in class adams.flow.webservice.SimpleWekaService

Returns a list of all classifier models currently stored on the server.

ListClassifiers - Class in nz.ac.waikato.adams.webservice.weka

Java class for listClassifiers complex type.

ListClassifiers() - Constructor for class nz.ac.waikato.adams.webservice.weka.ListClassifiers

listClassifiers() - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

ListClassifiersResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for listClassifiersResponse complex type.

ListClassifiersResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.ListClassifiersResponse

ListClusterers - Class in adams.flow.webservice

Lists all currently available clusterer models.

ListClusterers() - Constructor for class adams.flow.webservice.ListClusterers

listClusterers() - Method in class adams.flow.webservice.SimpleWekaService

Returns a list of all clusterer models currently stored on the server.

ListClusterers - Class in nz.ac.waikato.adams.webservice.weka

Java class for listClusterers complex type.

ListClusterers() - Constructor for class nz.ac.waikato.adams.webservice.weka.ListClusterers

listClusterers() - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

ListClusterersResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for listClusterersResponse complex type.

ListClusterersResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.ListClusterersResponse

M

m_ActorName - Variable in class adams.flow.transformer.Transform

name of the global actor used for transforming.

m_Classifier - Variable in class adams.flow.transformer.CrossValidationClassifier

classifier to use for the cross validation

m_Classifier - Variable in class adams.flow.transformer.OptimizeClassifierMultiSearch

classifier to use for the cross validation

m_Classifier - Variable in class adams.flow.transformer.TrainClassifier

global actor containing the classifier to use

m_Classifier - Variable in class adams.flow.webservice.DisplayClassifier

name of model to display

m_ClassifierActor - Variable in class adams.flow.transformer.CrossValidationClassifier

for getting the classifier as a global actor

m_ClassifierActor - Variable in class adams.flow.transformer.OptimizeClassifierMultiSearch

for getting the classifier as a global actor

m_ClassifierCacheSize - Variable in class adams.flow.webservice.WekaServiceWS

the number of classifiers to store in cache.

m_Classifiers - Variable in class adams.flow.webservice.SimpleWekaService

the cache for the classifier models.

m_Clusterer - Variable in class adams.flow.transformer.TrainClusterer

global actor containing the clusterer to use

m_Clusterer - Variable in class adams.flow.webservice.DisplayCluster

clusterer to display

m_ClustererCacheSize - Variable in class adams.flow.webservice.WekaServiceWS

the number of clusterers to store in cache.

m_Clusterers - Variable in class adams.flow.webservice.SimpleWekaService

the cache for the clusterer models.

m_CrossValidate - Variable in class adams.flow.webservice.CrossValidationClassifier

cross validate input object

m_DateFormat - Static variable in class adams.flow.core.DatasetHelper

for formatting dates.

m_Endpoint - Variable in class adams.flow.webservice.WekaServiceWS

end point for the web service

m_Evaluation - Variable in class adams.flow.transformer.OptimizeClassifierMultiSearch

the statistic to evaluate on.

m_Folds - Variable in class adams.flow.transformer.CrossValidationClassifier

number of folds for the cross validation

m_Implementation - Variable in class adams.flow.webservice.WekaServiceWS

the webservice implementation to use.

m_ModelName - Variable in class adams.flow.transformer.PredictClassifier

name of the model to use for the prediction

m_ModelName - Variable in class adams.flow.transformer.PredictClusterer

name of the model to use for the prediction

m_ModelName - Variable in class adams.flow.transformer.TestClassifier

model to use for testing

m_ModelName - Variable in class adams.flow.transformer.TrainClassifier

name of the model to use

m_ModelName - Variable in class adams.flow.transformer.TrainClusterer

name of the model to use

m_Optimize - Variable in class adams.flow.webservice.OptimizeClassifierMultiSearch

optimize classifier multi search input object

m_Owner - Variable in class adams.flow.webservice.SimpleWekaService

web service object

m_Parameters - Variable in class adams.flow.transformer.OptimizeClassifierMultiSearch

the search parameters.

m_Predict - Variable in class adams.flow.webservice.PredictClassifier

predict input object

m_Predict - Variable in class adams.flow.webservice.PredictClusterer

predict cluster input

m_Returned - Variable in class adams.flow.webservice.CrossValidationClassifier

response object

m_Returned - Variable in class adams.flow.webservice.DisplayClassifier

response object

m_Returned - Variable in class adams.flow.webservice.DisplayCluster

response object

m_Returned - Variable in class adams.flow.webservice.ListClassifiers

returned list of classifiers

m_Returned - Variable in class adams.flow.webservice.ListClusterers

list of clusterers returned

m_Returned - Variable in class adams.flow.webservice.OptimizeClassifierMultiSearch

optimize object returned

m_Returned - Variable in class adams.flow.webservice.PredictClassifier

response object

m_Returned - Variable in class adams.flow.webservice.PredictClusterer

response object

m_Returned - Variable in class adams.flow.webservice.TestClassifier

object response

m_Returned - Variable in class adams.flow.webservice.TrainClassifier

model returned after training

m_Returned - Variable in class adams.flow.webservice.TrainClusterer

response object

m_Returned - Variable in class adams.flow.webservice.Transform

response object

m_ReturnedDataset - Variable in class adams.flow.webservice.CrossValidationClassifier

dataset returned after cross validation

m_ReturnedDataset - Variable in class adams.flow.webservice.PredictClassifier

dataset returned after predicting

m_ReturnedDataset - Variable in class adams.flow.webservice.PredictClusterer

dataset returned after predicting

m_ReturnedDataset - Variable in class adams.flow.webservice.TestClassifier

dataset returned after testing

m_ReturnedDataset - Variable in class adams.flow.webservice.Transform

dataset returned after transformation

m_ReturnedString - Variable in class adams.flow.webservice.DisplayClassifier

string returned to display

m_ReturnedString - Variable in class adams.flow.webservice.DisplayCluster

string returned to display

m_ReturnedString - Variable in class adams.flow.webservice.OptimizeClassifierMultiSearch

string containing best setup

m_Seed - Variable in class adams.flow.transformer.CrossValidationClassifier

seed to use for the cross validation

m_Test - Variable in class adams.flow.webservice.TestClassifier

input object for the test web service

m_Train - Variable in class adams.flow.webservice.TrainClassifier

input object for the train webservice

m_Train - Variable in class adams.flow.webservice.TrainClusterer

train cluster input

m_Transform - Variable in class adams.flow.webservice.Transform

transform input object

metadata - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

Metadata - Class in nz.ac.waikato.adams.webservice.weka

Java class for metadata complex type.

Metadata() - Constructor for class nz.ac.waikato.adams.webservice.weka.Metadata

model - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClassifier

model - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClusterer

model - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

model - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

modelName - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClassifier

modelName - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClusterer

modelName - Variable in class nz.ac.waikato.adams.webservice.weka.TestClassifier

modelName - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

modelNameTipText() - Method in class adams.flow.transformer.PredictClassifier

description of this option

modelNameTipText() - Method in class adams.flow.transformer.PredictClusterer

description of this option.

modelNameTipText() - Method in class adams.flow.transformer.TestClassifier

description of this option

modelNameTipText() - Method in class adams.flow.transformer.TrainClassifier

description of this option

modelNameTipText() - Method in class adams.flow.transformer.TrainClusterer

description of this option

N

name - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

name - Variable in class nz.ac.waikato.adams.webservice.weka.Dataset

name - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

notes - Variable in class nz.ac.waikato.adams.webservice.weka.Header

nz.ac.waikato.adams.webservice.weka - package nz.ac.waikato.adams.webservice.weka

O

ObjectFactory - Class in nz.ac.waikato.adams.webservice.weka

This object contains factory methods for each Java content interface and Java element interface generated in the nz.ac.waikato.adams.webservice.weka package.

ObjectFactory() - Constructor for class nz.ac.waikato.adams.webservice.weka.ObjectFactory

Create a new ObjectFactory that can be used to create new instances of schema derived classes for package: nz.ac.waikato.adams.webservice.weka

OptimizeClassifierMultiSearch - Class in adams.flow.transformer

Performs cross-validation of a classifier on a dataset.

OptimizeClassifierMultiSearch() - Constructor for class adams.flow.transformer.OptimizeClassifierMultiSearch

OptimizeClassifierMultiSearch - Class in adams.flow.webservice

client for using the optimize classifier multi search web service.

OptimizeClassifierMultiSearch() - Constructor for class adams.flow.webservice.OptimizeClassifierMultiSearch

optimizeClassifierMultiSearch(String, List<String>, Dataset, String) - Method in class adams.flow.webservice.SimpleWekaService

Optimizes the parameters of a base classifier using MultiSearch.

OptimizeClassifierMultiSearch - Class in nz.ac.waikato.adams.webservice.weka

Java class for optimizeClassifierMultiSearch complex type.

OptimizeClassifierMultiSearch() - Constructor for class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

optimizeClassifierMultiSearch(String, List<String>, Dataset, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

OptimizeClassifierMultiSearch.Evaluation - Enum in adams.flow.transformer

The type of evaluation to perform.

OptimizeClassifierMultiSearchResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for optimizeClassifierMultiSearchResponse complex type.

OptimizeClassifierMultiSearchResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearchResponse

optimizeReturn - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearchResponse

OptimizeReturnObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for optimizeReturnObject complex type.

OptimizeReturnObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

OwnedByWekaServiceWS - Interface in adams.flow.webservice

Interface for classes that are owned by WekaServiceWS.

P

parametersTipText() - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

description for this option.

PredictClassifier - Class in adams.flow.transformer

Performs predictions using a previously trained model.

PredictClassifier() - Constructor for class adams.flow.transformer.PredictClassifier

PredictClassifier - Class in adams.flow.webservice

client for using the predict web service .

PredictClassifier() - Constructor for class adams.flow.webservice.PredictClassifier

predictClassifier(Dataset, String) - Method in class adams.flow.webservice.SimpleWekaService

Makes predictions using a previously generated model.

PredictClassifier - Class in nz.ac.waikato.adams.webservice.weka

Java class for predictClassifier complex type.

PredictClassifier() - Constructor for class nz.ac.waikato.adams.webservice.weka.PredictClassifier

predictClassifier(Dataset, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

PredictClassifierResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for predictClassifierResponse complex type.

PredictClassifierResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponse

PredictClassifierResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for predictClassifierResponseObject complex type.

PredictClassifierResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

PredictClusterer - Class in adams.flow.transformer

Predicts clusters using a clusterer model.

PredictClusterer() - Constructor for class adams.flow.transformer.PredictClusterer

PredictClusterer - Class in adams.flow.webservice

Predicts the cluster that instances belong to.

PredictClusterer() - Constructor for class adams.flow.webservice.PredictClusterer

predictClusterer(Dataset, String) - Method in class adams.flow.webservice.SimpleWekaService

Uses a previously built clusterer model to predict clusters for the provided data.

PredictClusterer - Class in nz.ac.waikato.adams.webservice.weka

Java class for predictClusterer complex type.

PredictClusterer() - Constructor for class nz.ac.waikato.adams.webservice.weka.PredictClusterer

predictClusterer(Dataset, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

PredictClustererResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for predictClustererResponse complex type.

PredictClustererResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.PredictClustererResponse

predictClustererResponseObject - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponse

PredictClustererResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for predictClustererResponseObject complex type.

PredictClustererResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

predictResponse - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponse

property - Variable in class nz.ac.waikato.adams.webservice.weka.Metadata

Property - Class in nz.ac.waikato.adams.webservice.weka

Java class for property complex type.

Property() - Constructor for class nz.ac.waikato.adams.webservice.weka.Property

propertyName - Variable in class nz.ac.waikato.adams.webservice.weka.Property

R

returnDataset - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

returnDataset - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

returnDataset - Variable in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

returnDataset - Variable in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

returnDataset - Variable in class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

returnedDisplay - Variable in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponse

S

searchParameters - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

seed - Variable in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

seedTipText() - Method in class adams.flow.transformer.CrossValidationClassifier

description for this option

SERVICE - Static variable in class nz.ac.waikato.adams.webservice.weka.WekaServiceService

setActorName(String) - Method in class adams.flow.transformer.Transform

set the name of the model to use.

setActorName(String) - Method in class nz.ac.waikato.adams.webservice.weka.Transform

Sets the value of the actorName property.

setAttributes(Attributes) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the attributes property.

setAttributes(Attributes) - Method in class nz.ac.waikato.adams.webservice.weka.Header

Sets the value of the attributes property.

setBestClassifierSetup(String) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Sets the value of the bestClassifierSetup property.

setBody(Body) - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Sets the value of the body property.

setClassAttribute(YesNo) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the classAttribute property.

setClassifier(GlobalActorReference) - Method in class adams.flow.transformer.CrossValidationClassifier

set the classifier to use

setClassifier(GlobalActorReference) - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

set the classifier to use

setClassifier(GlobalActorReference) - Method in class adams.flow.transformer.TrainClassifier

set the classifier to use for training

setClassifier(String) - Method in class adams.flow.webservice.DisplayClassifier

set the name of the classifier to display.

setClassifier(String) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Sets the value of the classifier property.

setClassifier(String) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Sets the value of the classifier property.

setClassifier(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

Sets the value of the classifier property.

setClassifierCacheSize(int) - Method in class adams.flow.webservice.WekaServiceWS

Sets the number of classifiers to keep in memory.

setClusterer(GlobalActorReference) - Method in class adams.flow.transformer.TrainClusterer

set the clusterer to use for training

setClusterer(String) - Method in class adams.flow.webservice.DisplayCluster

set the name of the clusterer.

setClusterer(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

Sets the value of the clusterer property.

setClustererCacheSize(int) - Method in class adams.flow.webservice.WekaServiceWS

Sets the number of clusterers to keep in memory.

setContent(String) - Method in class nz.ac.waikato.adams.webservice.weka.Property

Sets the value of the content property.

setCrossValidateResponse(CrossValidateResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifierResponse

Sets the value of the crossValidateResponse property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifier

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClusterer

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifier

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

Sets the value of the dataset property.

setDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.Transform

Sets the value of the dataset property.

setDisplayString(String) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

Sets the value of the displayString property.

setDisplayString(DisplayClustererResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponse

Sets the value of the displayString property.

setDisplayString(String) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

Sets the value of the displayString property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClustererResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

Sets the value of the errorMessage property.

setErrorMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

Sets the value of the errorMessage property.

setEvaluation(OptimizeClassifierMultiSearch.Evaluation) - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Sets the type of statistic to evaluate the performance on.

setEvaluation(String) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearch

Sets the value of the evaluation property.

setFolds(int) - Method in class adams.flow.transformer.CrossValidationClassifier

set the number of folds used for the cross validation

setFolds(int) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Sets the value of the folds property.

setFormat(String) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the format property.

setHeader(Header) - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Sets the value of the header property.

setImplementation(WekaService) - Method in class adams.flow.webservice.WekaServiceWS

Sets the webservice implementation to use.

setInstances(Instances) - Method in class nz.ac.waikato.adams.webservice.weka.Body

Sets the value of the instances property.

setInstanceType(InstanceType) - Method in class nz.ac.waikato.adams.webservice.weka.Instance

Sets the value of the instanceType property.

setInstanceWeight(Double) - Method in class nz.ac.waikato.adams.webservice.weka.Instance

Sets the value of the instanceWeight property.

setLabels(Labels) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the labels property.

setMetadata(Metadata) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the metadata property.

setModel(String) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifier

Sets the value of the model property.

setModel(String) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClusterer

Sets the value of the model property.

setModel(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

Sets the value of the model property.

setModel(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

Sets the value of the model property.

setModelName(String) - Method in class adams.flow.transformer.PredictClassifier

set the model to use for the prediction

setModelName(String) - Method in class adams.flow.transformer.PredictClusterer

set the model to use for the prediction.

setModelName(String) - Method in class adams.flow.transformer.TestClassifier

set the name of the model to use for testing

setModelName(String) - Method in class adams.flow.transformer.TrainClassifier

set the name of the model used in training

setModelName(String) - Method in class adams.flow.transformer.TrainClusterer

set the name of the model used in training

setModelName(String) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifier

Sets the value of the modelName property.

setModelName(String) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClusterer

Sets the value of the modelName property.

setModelName(String) - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifier

Sets the value of the modelName property.

setModelName(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClusterer

Sets the value of the modelName property.

setName(String) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the name property.

setName(String) - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Sets the value of the name property.

setName(String) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifier

Sets the value of the name property.

setNotes(String) - Method in class nz.ac.waikato.adams.webservice.weka.Header

Sets the value of the notes property.

setOptimizeReturn(OptimizeReturnObject) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeClassifierMultiSearchResponse

Sets the value of the optimizeReturn property.

setOwner(WekaServiceWS) - Method in interface adams.flow.webservice.OwnedByWekaServiceWS

Sets the owner.

setOwner(WekaServiceWS) - Method in class adams.flow.webservice.SimpleWekaService

Sets the owner of this webservice.

setParameters(AbstractParameter[]) - Method in class adams.flow.transformer.OptimizeClassifierMultiSearch

Set the search parameters.

setPredictClustererResponseObject(PredictClustererResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponse

Sets the value of the predictClustererResponseObject property.

setPredictResponse(PredictClassifierResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponse

Sets the value of the predictResponse property.

setPropertyName(String) - Method in class nz.ac.waikato.adams.webservice.weka.Property

Sets the value of the propertyName property.

setRequestData(CrossValidateClassifier) - Method in class adams.flow.webservice.CrossValidationClassifier

Sets the data for the request, if any.

setRequestData(OptimizeClassifierMultiSearch) - Method in class adams.flow.webservice.OptimizeClassifierMultiSearch

Sets the data for the request, if any.

setRequestData(PredictClassifier) - Method in class adams.flow.webservice.PredictClassifier

Sets the data for the request, if any.

setRequestData(PredictClusterer) - Method in class adams.flow.webservice.PredictClusterer

Sets the data for the request, if any.

setRequestData(TestClassifier) - Method in class adams.flow.webservice.TestClassifier

Sets the data for the request, if any.

setRequestData(TrainClassifier) - Method in class adams.flow.webservice.TrainClassifier

Sets the data for the request, if any.

setRequestData(TrainClusterer) - Method in class adams.flow.webservice.TrainClusterer

Sets the data for the request, if any.

setRequestData(Transform) - Method in class adams.flow.webservice.Transform

Sets the data for the request, if any.

setReturnDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateResponseObject

Sets the value of the returnDataset property.

setReturnDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClassifierResponseObject

Sets the value of the returnDataset property.

setReturnDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.PredictClustererResponseObject

Sets the value of the returnDataset property.

setReturnDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

Sets the value of the returnDataset property.

setReturnDataset(Dataset) - Method in class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

Sets the value of the returnDataset property.

setReturnedDisplay(DisplayClassifierResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.DisplayClassifierResponse

Sets the value of the returnedDisplay property.

setSeed(int) - Method in class adams.flow.transformer.CrossValidationClassifier

Set the seed for the cross validation

setSeed(int) - Method in class nz.ac.waikato.adams.webservice.weka.CrossValidateClassifier

Sets the value of the seed property.

setTestReponse(TestClassifierResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponse

Sets the value of the testReponse property.

setTrainReponse(TrainClassifierResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponse

Sets the value of the trainReponse property.

setTrainReponse(TrainClustererResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponse

Sets the value of the trainReponse property.

setTransformResponse(TransformResponseObject) - Method in class nz.ac.waikato.adams.webservice.weka.TransformResponse

Sets the value of the transformResponse property.

setType(Type) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the type property.

setUp() - Method in class adams.flow.transformer.PredictClassifier

Initializes the item for flow execution.

setUp() - Method in class adams.flow.transformer.TestClassifier

Initializes the item for flow execution.

setUp() - Method in class adams.flow.transformer.TrainClassifier

Initializes the item for flow execution.

setValue(String) - Method in class nz.ac.waikato.adams.webservice.weka.Value

Sets the value of the value property.

setValueIndex(Integer) - Method in class nz.ac.waikato.adams.webservice.weka.Value

Sets the value of the valueIndex property.

setValueMissing(YesNo) - Method in class nz.ac.waikato.adams.webservice.weka.Value

Sets the value of the valueMissing property.

setVersion(String) - Method in class nz.ac.waikato.adams.webservice.weka.Dataset

Sets the value of the version property.

setWarningMessage(String) - Method in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

Sets the value of the warningMessage property.

setWeight(Double) - Method in class nz.ac.waikato.adams.webservice.weka.Attribute

Sets the value of the weight property.

SimpleWekaService - Class in adams.flow.webservice

Class that implements the weka web service.

SimpleWekaService() - Constructor for class adams.flow.webservice.SimpleWekaService

Default Constructor.

T

TestClassifier - Class in adams.flow.transformer

Transformer for performing tests of trained model.

TestClassifier() - Constructor for class adams.flow.transformer.TestClassifier

testClassifier(Dataset, String) - Method in class adams.flow.webservice.SimpleWekaService

Tests a previously trained model.

TestClassifier - Class in adams.flow.webservice

client for the test webservice.

TestClassifier() - Constructor for class adams.flow.webservice.TestClassifier

TestClassifier - Class in nz.ac.waikato.adams.webservice.weka

Java class for testClassifier complex type.

TestClassifier() - Constructor for class nz.ac.waikato.adams.webservice.weka.TestClassifier

testClassifier(Dataset, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

TestClassifierResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for testClassifierResponse complex type.

TestClassifierResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.TestClassifierResponse

TestClassifierResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for testClassifierResponseObject complex type.

TestClassifierResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.TestClassifierResponseObject

testReponse - Variable in class nz.ac.waikato.adams.webservice.weka.TestClassifierResponse

toInstances(Dataset) - Static method in class adams.flow.core.DatasetHelper

static class that converts an xrff dataset object into a weka instances object

TrainClassifier - Class in adams.flow.transformer

Trains a classifier on a dataset and makes the model available.

TrainClassifier() - Constructor for class adams.flow.transformer.TrainClassifier

trainClassifier(Dataset, String, String) - Method in class adams.flow.webservice.SimpleWekaService

Performs training of a classifier and stores it in the model cache.

TrainClassifier - Class in adams.flow.webservice

client for using the training webservice.

TrainClassifier() - Constructor for class adams.flow.webservice.TrainClassifier

TrainClassifier - Class in nz.ac.waikato.adams.webservice.weka

Java class for trainClassifier complex type.

TrainClassifier() - Constructor for class nz.ac.waikato.adams.webservice.weka.TrainClassifier

trainClassifier(Dataset, String, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

TrainClassifierResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for trainClassifierResponse complex type.

TrainClassifierResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponse

TrainClassifierResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for trainClassifierResponseObject complex type.

TrainClassifierResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponseObject

TrainClusterer - Class in adams.flow.transformer

Trains a clusterer.

TrainClusterer() - Constructor for class adams.flow.transformer.TrainClusterer

trainClusterer(Dataset, String, String) - Method in class adams.flow.webservice.SimpleWekaService

Trains a cluster algorithm.

TrainClusterer - Class in adams.flow.webservice

Builds a clusterer model.

TrainClusterer() - Constructor for class adams.flow.webservice.TrainClusterer

TrainClusterer - Class in nz.ac.waikato.adams.webservice.weka

Java class for trainClusterer complex type.

TrainClusterer() - Constructor for class nz.ac.waikato.adams.webservice.weka.TrainClusterer

trainClusterer(Dataset, String, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

TrainClustererResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for trainClustererResponse complex type.

TrainClustererResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.TrainClustererResponse

TrainClustererResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for trainClustererResponseObject complex type.

TrainClustererResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.TrainClustererResponseObject

trainReponse - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClassifierResponse

trainReponse - Variable in class nz.ac.waikato.adams.webservice.weka.TrainClustererResponse

Transform - Class in adams.flow.transformer

Transforms data using a global actor offered by the webservice.

Transform() - Constructor for class adams.flow.transformer.Transform

transform(Dataset, String) - Method in class adams.flow.webservice.SimpleWekaService

Transforms a dataset using a global actor on the server.

Transform - Class in adams.flow.webservice

Transforms data.

Transform() - Constructor for class adams.flow.webservice.Transform

Transform - Class in nz.ac.waikato.adams.webservice.weka

Java class for transform complex type.

Transform() - Constructor for class nz.ac.waikato.adams.webservice.weka.Transform

transform(Dataset, String) - Method in interface nz.ac.waikato.adams.webservice.weka.WekaService

TransformResponse - Class in nz.ac.waikato.adams.webservice.weka

Java class for transformResponse complex type.

TransformResponse() - Constructor for class nz.ac.waikato.adams.webservice.weka.TransformResponse

transformResponse - Variable in class nz.ac.waikato.adams.webservice.weka.TransformResponse

TransformResponseObject - Class in nz.ac.waikato.adams.webservice.weka

Java class for transformResponseObject complex type.

TransformResponseObject() - Constructor for class nz.ac.waikato.adams.webservice.weka.TransformResponseObject

type - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

Type - Enum in nz.ac.waikato.adams.webservice.weka

Java class for type.

V

value - Variable in class nz.ac.waikato.adams.webservice.weka.Instance

value() - Method in enum nz.ac.waikato.adams.webservice.weka.InstanceType

value() - Method in enum nz.ac.waikato.adams.webservice.weka.Type

Value - Class in nz.ac.waikato.adams.webservice.weka

Java class for value complex type.

Value() - Constructor for class nz.ac.waikato.adams.webservice.weka.Value

value - Variable in class nz.ac.waikato.adams.webservice.weka.Value

value() - Method in enum nz.ac.waikato.adams.webservice.weka.YesNo

valueIndex - Variable in class nz.ac.waikato.adams.webservice.weka.Value

valueMissing - Variable in class nz.ac.waikato.adams.webservice.weka.Value

valueOf(String) - Static method in enum adams.flow.transformer.OptimizeClassifierMultiSearch.Evaluation

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum nz.ac.waikato.adams.webservice.weka.InstanceType

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum nz.ac.waikato.adams.webservice.weka.Type

Returns the enum constant of this type with the specified name.

valueOf(String) - Static method in enum nz.ac.waikato.adams.webservice.weka.YesNo

Returns the enum constant of this type with the specified name.

values() - Static method in enum adams.flow.transformer.OptimizeClassifierMultiSearch.Evaluation

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum nz.ac.waikato.adams.webservice.weka.InstanceType

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum nz.ac.waikato.adams.webservice.weka.Type

Returns an array containing the constants of this enum type, in the order they are declared.

values() - Static method in enum nz.ac.waikato.adams.webservice.weka.YesNo

Returns an array containing the constants of this enum type, in the order they are declared.

version - Variable in class nz.ac.waikato.adams.webservice.weka.Dataset

W

warningMessage - Variable in class nz.ac.waikato.adams.webservice.weka.OptimizeReturnObject

weight - Variable in class nz.ac.waikato.adams.webservice.weka.Attribute

WekaInstancesToDataset - Class in adams.data.conversion

Converts a WEKA Instances object into a webservice Dataset object.

WekaInstancesToDataset() - Constructor for class adams.data.conversion.WekaInstancesToDataset

WekaService - Interface in nz.ac.waikato.adams.webservice.weka

This class was generated by Apache CXF 2.7.3 2013-02-26T12:33:52.555+13:00 Generated source version: 2.7.3

WekaServicePort - Static variable in class nz.ac.waikato.adams.webservice.weka.WekaServiceService

WekaServiceService - Class in nz.ac.waikato.adams.webservice.weka

This class was generated by Apache CXF 2.7.3 2013-02-26T12:33:52.615+13:00 Generated source version: 2.7.3

WekaServiceService(URL) - Constructor for class nz.ac.waikato.adams.webservice.weka.WekaServiceService

WekaServiceService(URL, QName) - Constructor for class nz.ac.waikato.adams.webservice.weka.WekaServiceService

WekaServiceService() - Constructor for class nz.ac.waikato.adams.webservice.weka.WekaServiceService

WekaServiceWS - Class in adams.flow.webservice

Webservice for WEKA.

WekaServiceWS() - Constructor for class adams.flow.webservice.WekaServiceWS

WSDL_LOCATION - Static variable in class nz.ac.waikato.adams.webservice.weka.WekaServiceService

Y

YesNo - Enum in nz.ac.waikato.adams.webservice.weka

Java class for yesNo.

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