Uses of Class
io.nessus.weka.Dataset

Packages that use Dataset

Package	Description
io.nessus.weka

Uses of Dataset in io.nessus.weka

Classes in io.nessus.weka with type parameters of type Dataset

Modifier and Type	Interface and Description
interface	FunctionalClassifier<T extends Dataset>
interface	FunctionalEvaluation<T extends Dataset>
interface	FunctionalInstances<T extends Dataset>

Subclasses of Dataset in io.nessus.weka

Modifier and Type	Class and Description
class	DatasetImpl

Methods in io.nessus.weka that return Dataset

Modifier and Type	Method and Description
Dataset	DatasetImpl.apply(java.lang.String filterSpec)
Dataset	DatasetImpl.applyToClassifier(java.util.function.UnaryOperator<weka.classifiers.Classifier> operator)
Dataset	DatasetImpl.applyToEvaluation(java.util.function.UnaryOperator<weka.classifiers.Evaluation> operator)
Dataset	DatasetImpl.applyToFunctionalClassifier(java.util.function.UnaryOperator<FunctionalClassifier<Dataset>> operator)
Dataset	DatasetImpl.applyToFunctionalEvaluation(java.util.function.UnaryOperator<FunctionalEvaluation<Dataset>> operator)
Dataset	DatasetImpl.applyToFunctionalInstances(java.util.function.UnaryOperator<FunctionalInstances<Dataset>> operator)
Dataset	DatasetImpl.applyToInstances(java.util.function.UnaryOperator<weka.core.Instances> operator)
Dataset	DatasetImpl.classifier(java.lang.String classifierSpec)
Dataset	DatasetImpl.consumeClassifier(java.util.function.Consumer<weka.classifiers.Classifier> consumer)
Dataset	DatasetImpl.consumeEvaluation(java.util.function.Consumer<weka.classifiers.Evaluation> consumer)
Dataset	DatasetImpl.consumeFunctionalClassifier(java.util.function.Consumer<FunctionalClassifier<Dataset>> consumer)
Dataset	DatasetImpl.consumeFunctionalEvaluation(java.util.function.Consumer<FunctionalEvaluation<Dataset>> consumer)
Dataset	DatasetImpl.consumeFunctionalInstances(java.util.function.Consumer<FunctionalInstances<Dataset>> consumer)
Dataset	DatasetImpl.consumeInstances(java.util.function.Consumer<weka.core.Instances> consumer)
static Dataset	Dataset.create(java.io.InputStream input)
static Dataset	Dataset.create(weka.core.Instances instances)
static Dataset	Dataset.create(java.nio.file.Path inpath)
static Dataset	Dataset.create(java.lang.String inpath)
static Dataset	Dataset.create(java.net.URL inpath)
Dataset	DatasetImpl.crossValidateModel(int numFolds, int seed)
Dataset	DatasetImpl.evaluate()
Dataset	DatasetImpl.evaluateModel()
Dataset	DatasetImpl.evaluateModel(Dataset dataset)
Dataset	DatasetImpl.pop()
Dataset	DatasetImpl.pop(java.lang.String name)
Dataset	DatasetImpl.popTestSet()
Dataset	DatasetImpl.popTrainingSet()
Dataset	DatasetImpl.push()
Dataset	DatasetImpl.push(java.lang.String name)
Dataset	DatasetImpl.pushTestSet()
Dataset	DatasetImpl.pushTrainingSet()
Dataset	DatasetImpl.read(java.nio.file.Path inpath)
Dataset	DatasetImpl.read(java.lang.String inpath)
Dataset	DatasetImpl.read(java.net.URL url)
Dataset	DatasetImpl.write(java.nio.file.Path outpath)
Dataset	DatasetImpl.write(java.lang.String outpath)

Methods in io.nessus.weka with parameters of type Dataset

Modifier and Type	Method and Description
Dataset	DatasetImpl.evaluateModel(Dataset dataset)
T	FunctionalClassifier.evaluateModel(Dataset dataset)

Method parameters in io.nessus.weka with type arguments of type Dataset

Modifier and Type	Method and Description
Dataset	DatasetImpl.applyToFunctionalClassifier(java.util.function.UnaryOperator<FunctionalClassifier<Dataset>> operator)
Dataset	DatasetImpl.applyToFunctionalEvaluation(java.util.function.UnaryOperator<FunctionalEvaluation<Dataset>> operator)
Dataset	DatasetImpl.applyToFunctionalInstances(java.util.function.UnaryOperator<FunctionalInstances<Dataset>> operator)
Dataset	DatasetImpl.consumeFunctionalClassifier(java.util.function.Consumer<FunctionalClassifier<Dataset>> consumer)
Dataset	DatasetImpl.consumeFunctionalEvaluation(java.util.function.Consumer<FunctionalEvaluation<Dataset>> consumer)
Dataset	DatasetImpl.consumeFunctionalInstances(java.util.function.Consumer<FunctionalInstances<Dataset>> consumer)