Uses of Class
nz.ac.waikato.adams.webservice.meka.Dataset
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Packages that use Dataset Package Description adams.flow.core adams.flow.webservice.meka nz.ac.waikato.adams.webservice.meka -
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Uses of Dataset in adams.flow.core
Methods in adams.flow.core that return Dataset Modifier and Type Method Description static Dataset
MekaDatasetHelper. evaluationToDataset(meka.core.Result eval)
Turns the evaluation object into aDataset
structure.static Dataset
MekaDatasetHelper. fromInstances(weka.core.Instances inst)
static class that converts an instances object into an xrff datasetMethods in adams.flow.core with parameters of type Dataset Modifier and Type Method Description static void
MekaDatasetHelper. addAttribute(Dataset dataset, String name, Type type)
Adds an attribute to the dataset.static void
MekaDatasetHelper. addStatistic(Dataset dataset, String name, Object value)
Adds a statistic as key/value pair to the dataset as new data row.static String
MekaDatasetHelper. datasetToString(Dataset dataset)
For outputting the dataset in debug mode.static weka.core.Instances
MekaDatasetHelper. toInstances(Dataset d)
static class that converts an xrff dataset object into a meka instances object -
Uses of Dataset in adams.flow.webservice.meka
Methods in adams.flow.webservice.meka with parameters of type Dataset Modifier and Type Method Description CrossValidateResponseObject
SimpleMekaService. crossValidateClassifier(Dataset dataset, int seed, int folds, String classifier)
Cross-validates a classifier on a dataset.protected void
SimpleMekaService. displayString(Dataset dataset)
For outputting the dataset in debug mode.PredictClassifierResponseObject
SimpleMekaService. predictClassifier(Dataset dataset, String modelName)
Makes predictions using a previously generated model.TestClassifierResponseObject
SimpleMekaService. testClassifier(Dataset dataset, String modelName)
Tests a previously trained model.TrainClassifierResponseObject
SimpleMekaService. trainClassifier(Dataset dataset, String classifier, String name)
Performs training of a classifier and stores it in the model cache.TransformResponseObject
SimpleMekaService. transform(Dataset dataset, String actorName)
Transforms a dataset using a callable actor on the server. -
Uses of Dataset in nz.ac.waikato.adams.webservice.meka
Fields in nz.ac.waikato.adams.webservice.meka declared as Dataset Modifier and Type Field Description protected Dataset
CrossValidateClassifier. dataset
protected Dataset
PredictClassifier. dataset
protected Dataset
TestClassifier. dataset
protected Dataset
TrainClassifier. dataset
protected Dataset
Transform. dataset
protected Dataset
CrossValidateResponseObject. returnDataset
protected Dataset
PredictClassifierResponseObject. returnDataset
protected Dataset
TestClassifierResponseObject. returnDataset
protected Dataset
TransformResponseObject. returnDataset
Methods in nz.ac.waikato.adams.webservice.meka that return Dataset Modifier and Type Method Description Dataset
ObjectFactory. createDataset()
Create an instance ofDataset
Dataset
CrossValidateClassifier. getDataset()
Gets the value of the dataset property.Dataset
PredictClassifier. getDataset()
Gets the value of the dataset property.Dataset
TestClassifier. getDataset()
Gets the value of the dataset property.Dataset
TrainClassifier. getDataset()
Gets the value of the dataset property.Dataset
Transform. getDataset()
Gets the value of the dataset property.Dataset
CrossValidateResponseObject. getReturnDataset()
Gets the value of the returnDataset property.Dataset
PredictClassifierResponseObject. getReturnDataset()
Gets the value of the returnDataset property.Dataset
TestClassifierResponseObject. getReturnDataset()
Gets the value of the returnDataset property.Dataset
TransformResponseObject. getReturnDataset()
Gets the value of the returnDataset property.Methods in nz.ac.waikato.adams.webservice.meka with parameters of type Dataset Modifier and Type Method Description CrossValidateResponseObject
MekaService. crossValidateClassifier(Dataset dataset, int seed, int folds, String classifier)
PredictClassifierResponseObject
MekaService. predictClassifier(Dataset dataset, String modelName)
void
CrossValidateClassifier. setDataset(Dataset value)
Sets the value of the dataset property.void
PredictClassifier. setDataset(Dataset value)
Sets the value of the dataset property.void
TestClassifier. setDataset(Dataset value)
Sets the value of the dataset property.void
TrainClassifier. setDataset(Dataset value)
Sets the value of the dataset property.void
Transform. setDataset(Dataset value)
Sets the value of the dataset property.void
CrossValidateResponseObject. setReturnDataset(Dataset value)
Sets the value of the returnDataset property.void
PredictClassifierResponseObject. setReturnDataset(Dataset value)
Sets the value of the returnDataset property.void
TestClassifierResponseObject. setReturnDataset(Dataset value)
Sets the value of the returnDataset property.void
TransformResponseObject. setReturnDataset(Dataset value)
Sets the value of the returnDataset property.TestClassifierResponseObject
MekaService. testClassifier(Dataset dataset, String modelName)
TrainClassifierResponseObject
MekaService. trainClassifier(Dataset dataset, String classifier, String name)
TransformResponseObject
MekaService. transform(Dataset dataset, String actorName)
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