Uses of Class
nz.ac.waikato.adams.webservice.weka.Dataset

Packages that use Dataset

adams.flow.core
adams.flow.webservice
nz.ac.waikato.adams.webservice.weka

Uses of Dataset in adams.flow.core

Methods in adams.flow.core that return Dataset

static Dataset	DatasetHelper.evaluationToDataset(Evaluation eval) Turns the evaluation object into a Dataset structure.
static Dataset	DatasetHelper.fromInstances(Instances inst) static class that converts an instances object into an xrff dataset

Methods in adams.flow.core with parameters of type Dataset

static void	DatasetHelper.addAttribute(Dataset dataset, String name, Type type) Adds an attribute to the dataset.
static void	DatasetHelper.addStatistic(Dataset dataset, String name, double value) Adds a statistic as key/value pair to the dataset as new data row.
static String	DatasetHelper.datasetToString(Dataset dataset) For outputting the dataset in debug mode.
static Instances	DatasetHelper.toInstances(Dataset d) static class that converts an xrff dataset object into a weka instances object

Uses of Dataset in adams.flow.webservice

Fields in adams.flow.webservice declared as Dataset

protected Dataset	PredictClusterer.m_ReturnedDataset dataset returned after predicting
protected Dataset	TestClassifier.m_ReturnedDataset dataset returned after testing
protected Dataset	Transform.m_ReturnedDataset dataset returned after transformation
protected Dataset	PredictClassifier.m_ReturnedDataset dataset returned after predicting
protected Dataset	CrossValidationClassifier.m_ReturnedDataset dataset returned after cross validation

Methods in adams.flow.webservice that return Dataset

Dataset	PredictClusterer.getResponseData() Returns the response data, if any.
Dataset	TestClassifier.getResponseData() Returns the response data, if any.
Dataset	Transform.getResponseData() Returns the response data, if any.
Dataset	PredictClassifier.getResponseData() Returns the response data, if any.
Dataset	CrossValidationClassifier.getResponseData() Returns the response data, if any.

Methods in adams.flow.webservice with parameters of type Dataset

CrossValidateResponseObject	SimpleWekaService.crossValidateClassifier(Dataset dataset, int seed, int folds, String classifier) Cross-validates a classifier on a dataset.
protected void	SimpleWekaService.displayString(Dataset dataset) For outputting the dataset in debug mode.
OptimizeReturnObject	SimpleWekaService.optimizeClassifierMultiSearch(String classifier, List<String> searchParameters, Dataset dataset, String evaluation) Optimizes the parameters of a base classifier using MultiSearch.
PredictClassifierResponseObject	SimpleWekaService.predictClassifier(Dataset dataset, String modelName) Makes predictions using a previously generated model.
PredictClustererResponseObject	SimpleWekaService.predictClusterer(Dataset dataset, String modelName) Uses a previously built clusterer model to predict clusters for the provided data.
TestClassifierResponseObject	SimpleWekaService.testClassifier(Dataset dataset, String modelName) Tests a previously trained model.
TrainClassifierResponseObject	SimpleWekaService.trainClassifier(Dataset dataset, String classifier, String name) Performs training of a classifier and stores it in the model cache.
TrainClustererResponseObject	SimpleWekaService.trainClusterer(Dataset dataset, String clusterer, String modelName) Trains a cluster algorithm.
TransformResponseObject	SimpleWekaService.transform(Dataset dataset, String actorName) Transforms a dataset using a global actor on the server.

Uses of Dataset in nz.ac.waikato.adams.webservice.weka

Fields in nz.ac.waikato.adams.webservice.weka declared as Dataset

protected Dataset	PredictClusterer.dataset
protected Dataset	TestClassifier.dataset
protected Dataset	Transform.dataset
protected Dataset	TrainClassifier.dataset
protected Dataset	TrainClusterer.dataset
protected Dataset	PredictClassifier.dataset
protected Dataset	CrossValidateClassifier.dataset
protected Dataset	OptimizeClassifierMultiSearch.dataset
protected Dataset	PredictClassifierResponseObject.returnDataset
protected Dataset	PredictClustererResponseObject.returnDataset
protected Dataset	CrossValidateResponseObject.returnDataset
protected Dataset	TransformResponseObject.returnDataset
protected Dataset	TestClassifierResponseObject.returnDataset

Methods in nz.ac.waikato.adams.webservice.weka that return Dataset

Dataset	ObjectFactory.createDataset() Create an instance of Dataset
Dataset	PredictClusterer.getDataset() Gets the value of the dataset property.
Dataset	TestClassifier.getDataset() Gets the value of the dataset property.
Dataset	Transform.getDataset() Gets the value of the dataset property.
Dataset	TrainClassifier.getDataset() Gets the value of the dataset property.
Dataset	TrainClusterer.getDataset() Gets the value of the dataset property.
Dataset	PredictClassifier.getDataset() Gets the value of the dataset property.
Dataset	CrossValidateClassifier.getDataset() Gets the value of the dataset property.
Dataset	OptimizeClassifierMultiSearch.getDataset() Gets the value of the dataset property.
Dataset	PredictClassifierResponseObject.getReturnDataset() Gets the value of the returnDataset property.
Dataset	PredictClustererResponseObject.getReturnDataset() Gets the value of the returnDataset property.
Dataset	CrossValidateResponseObject.getReturnDataset() Gets the value of the returnDataset property.
Dataset	TransformResponseObject.getReturnDataset() Gets the value of the returnDataset property.
Dataset	TestClassifierResponseObject.getReturnDataset() Gets the value of the returnDataset property.

Methods in nz.ac.waikato.adams.webservice.weka with parameters of type Dataset

CrossValidateResponseObject	WekaService.crossValidateClassifier(Dataset dataset, int seed, int folds, String classifier)
OptimizeReturnObject	WekaService.optimizeClassifierMultiSearch(String classifier, List<String> searchParameters, Dataset dataset, String evaluation)
PredictClassifierResponseObject	WekaService.predictClassifier(Dataset dataset, String modelName)
PredictClustererResponseObject	WekaService.predictClusterer(Dataset dataset, String modelName)
void	PredictClusterer.setDataset(Dataset value) Sets the value of the dataset property.
void	TestClassifier.setDataset(Dataset value) Sets the value of the dataset property.
void	Transform.setDataset(Dataset value) Sets the value of the dataset property.
void	TrainClassifier.setDataset(Dataset value) Sets the value of the dataset property.
void	TrainClusterer.setDataset(Dataset value) Sets the value of the dataset property.
void	PredictClassifier.setDataset(Dataset value) Sets the value of the dataset property.
void	CrossValidateClassifier.setDataset(Dataset value) Sets the value of the dataset property.
void	OptimizeClassifierMultiSearch.setDataset(Dataset value) Sets the value of the dataset property.
void	PredictClassifierResponseObject.setReturnDataset(Dataset value) Sets the value of the returnDataset property.
void	PredictClustererResponseObject.setReturnDataset(Dataset value) Sets the value of the returnDataset property.
void	CrossValidateResponseObject.setReturnDataset(Dataset value) Sets the value of the returnDataset property.
void	TransformResponseObject.setReturnDataset(Dataset value) Sets the value of the returnDataset property.
void	TestClassifierResponseObject.setReturnDataset(Dataset value) Sets the value of the returnDataset property.
TestClassifierResponseObject	WekaService.testClassifier(Dataset dataset, String modelName)
TrainClassifierResponseObject	WekaService.trainClassifier(Dataset dataset, String classifier, String name)
TrainClustererResponseObject	WekaService.trainClusterer(Dataset dataset, String clusterer, String modelName)
TransformResponseObject	WekaService.transform(Dataset dataset, String actorName)