public class DatasetImpl extends Dataset implements FunctionalEvaluation<Dataset>, FunctionalClassifier<Dataset>, FunctionalInstances<Dataset>
| Constructor and Description |
|---|
DatasetImpl(weka.core.Instances instances) |
| Modifier and Type | Method and Description |
|---|---|
Dataset |
apply(java.lang.String filterSpec) |
Dataset |
applyToClassifier(java.util.function.UnaryOperator<weka.classifiers.Classifier> operator) |
Dataset |
applyToEvaluation(java.util.function.UnaryOperator<weka.classifiers.Evaluation> operator) |
Dataset |
applyToFunctionalClassifier(java.util.function.UnaryOperator<FunctionalClassifier<Dataset>> operator) |
Dataset |
applyToFunctionalEvaluation(java.util.function.UnaryOperator<FunctionalEvaluation<Dataset>> operator) |
Dataset |
applyToFunctionalInstances(java.util.function.UnaryOperator<FunctionalInstances<Dataset>> operator) |
Dataset |
applyToInstances(java.util.function.UnaryOperator<weka.core.Instances> operator) |
Dataset |
classifier(java.lang.String classifierSpec) |
Dataset |
consumeClassifier(java.util.function.Consumer<weka.classifiers.Classifier> consumer) |
Dataset |
consumeEvaluation(java.util.function.Consumer<weka.classifiers.Evaluation> consumer) |
Dataset |
consumeFunctionalClassifier(java.util.function.Consumer<FunctionalClassifier<Dataset>> consumer) |
Dataset |
consumeFunctionalEvaluation(java.util.function.Consumer<FunctionalEvaluation<Dataset>> consumer) |
Dataset |
consumeFunctionalInstances(java.util.function.Consumer<FunctionalInstances<Dataset>> consumer) |
Dataset |
consumeInstances(java.util.function.Consumer<weka.core.Instances> consumer) |
Dataset |
crossValidateModel(int numFolds,
int seed) |
Dataset |
evaluate() |
Dataset |
evaluateModel() |
Dataset |
evaluateModel(Dataset dataset) |
weka.classifiers.Classifier |
getClassifier() |
weka.classifiers.Evaluation |
getEvaluation() |
weka.core.Instances |
getInstances() |
Dataset |
pop() |
Dataset |
pop(java.lang.String name) |
Dataset |
popTestSet() |
Dataset |
popTrainingSet() |
Dataset |
push() |
Dataset |
push(java.lang.String name) |
Dataset |
pushTestSet() |
Dataset |
pushTrainingSet() |
Dataset |
read(java.nio.file.Path inpath) |
Dataset |
read(java.lang.String inpath) |
Dataset |
read(java.net.URL url) |
Dataset |
write(java.nio.file.Path outpath) |
Dataset |
write(java.lang.String outpath) |
public Dataset read(java.nio.file.Path inpath)
read in interface FunctionalInstances<Dataset>public Dataset read(java.lang.String inpath)
read in interface FunctionalInstances<Dataset>public Dataset read(java.net.URL url)
read in interface FunctionalInstances<Dataset>public Dataset write(java.nio.file.Path outpath)
write in interface FunctionalInstances<Dataset>public Dataset write(java.lang.String outpath)
write in interface FunctionalInstances<Dataset>public Dataset apply(java.lang.String filterSpec)
apply in interface FunctionalInstances<Dataset>public Dataset applyToInstances(java.util.function.UnaryOperator<weka.core.Instances> operator)
applyToInstances in interface FunctionalInstances<Dataset>public Dataset consumeInstances(java.util.function.Consumer<weka.core.Instances> consumer)
consumeInstances in interface FunctionalInstances<Dataset>public Dataset classifier(java.lang.String classifierSpec)
classifier in interface FunctionalInstances<Dataset>public Dataset push()
push in interface FunctionalInstances<Dataset>public Dataset pushTrainingSet()
pushTrainingSet in interface FunctionalInstances<Dataset>public Dataset pushTestSet()
pushTestSet in interface FunctionalInstances<Dataset>public Dataset push(java.lang.String name)
push in interface FunctionalInstances<Dataset>public Dataset pop()
pop in interface FunctionalInstances<Dataset>public Dataset popTrainingSet()
popTrainingSet in interface FunctionalInstances<Dataset>public Dataset popTestSet()
popTestSet in interface FunctionalInstances<Dataset>public Dataset pop(java.lang.String name)
pop in interface FunctionalInstances<Dataset>public weka.core.Instances getInstances()
getInstances in interface FunctionalInstances<Dataset>public Dataset applyToFunctionalInstances(java.util.function.UnaryOperator<FunctionalInstances<Dataset>> operator)
applyToFunctionalInstances in interface FunctionalInstances<Dataset>public Dataset consumeFunctionalInstances(java.util.function.Consumer<FunctionalInstances<Dataset>> consumer)
consumeFunctionalInstances in interface FunctionalInstances<Dataset>public Dataset applyToFunctionalClassifier(java.util.function.UnaryOperator<FunctionalClassifier<Dataset>> operator)
applyToFunctionalClassifier in interface FunctionalClassifier<Dataset>public Dataset applyToClassifier(java.util.function.UnaryOperator<weka.classifiers.Classifier> operator)
applyToClassifier in interface FunctionalClassifier<Dataset>public Dataset consumeFunctionalClassifier(java.util.function.Consumer<FunctionalClassifier<Dataset>> consumer)
consumeFunctionalClassifier in interface FunctionalClassifier<Dataset>public Dataset consumeClassifier(java.util.function.Consumer<weka.classifiers.Classifier> consumer)
consumeClassifier in interface FunctionalClassifier<Dataset>public Dataset evaluateModel(Dataset dataset)
evaluateModel in interface FunctionalClassifier<Dataset>public Dataset evaluateModel()
evaluateModel in interface FunctionalClassifier<Dataset>public Dataset crossValidateModel(int numFolds, int seed)
crossValidateModel in interface FunctionalClassifier<Dataset>public Dataset evaluate()
evaluate in interface FunctionalClassifier<Dataset>public Dataset applyToFunctionalEvaluation(java.util.function.UnaryOperator<FunctionalEvaluation<Dataset>> operator)
applyToFunctionalEvaluation in interface FunctionalEvaluation<Dataset>public Dataset applyToEvaluation(java.util.function.UnaryOperator<weka.classifiers.Evaluation> operator)
applyToEvaluation in interface FunctionalEvaluation<Dataset>public Dataset consumeFunctionalEvaluation(java.util.function.Consumer<FunctionalEvaluation<Dataset>> consumer)
consumeFunctionalEvaluation in interface FunctionalEvaluation<Dataset>public Dataset consumeEvaluation(java.util.function.Consumer<weka.classifiers.Evaluation> consumer)
consumeEvaluation in interface FunctionalEvaluation<Dataset>public weka.classifiers.Classifier getClassifier()
getClassifier in interface FunctionalClassifier<Dataset>public weka.classifiers.Evaluation getEvaluation()
getEvaluation in interface FunctionalEvaluation<Dataset>Copyright © 2020. All rights reserved.