DatasetImpl (Nessus :: Weka

java.lang.Object
- io.nessus.weka.Dataset
- - io.nessus.weka.internal.DatasetImpl

All Implemented Interfaces:: FunctionalClassifier<Dataset>, FunctionalEvaluation<Dataset>, FunctionalInstances<Dataset>

public class DatasetImpl
extends Dataset
implements FunctionalEvaluation<Dataset>, FunctionalClassifier<Dataset>, FunctionalInstances<Dataset>

Constructor Summary

Constructors
Constructor and Description

DatasetImpl(weka.core.Instances instances)

Constructors
Constructor and Description
`DatasetImpl(weka.core.Instances instances)`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`Dataset`	`apply(java.lang.String filterSpec)`
`Dataset`	`applyToClassifier(java.util.function.Function<Dataset,weka.classifiers.Classifier> function)`
`Dataset`	`applyToClassifier(java.util.function.UnaryOperator<weka.classifiers.Classifier> operator)`
`Dataset`	`applyToEvaluation(java.util.function.Function<Dataset,weka.classifiers.Evaluation> function)`
`Dataset`	`applyToEvaluation(java.util.function.UnaryOperator<weka.classifiers.Evaluation> operator)`
`Dataset`	`applyToInstances(java.util.function.Function<Dataset,weka.core.Instances> function)`
`Dataset`	`applyToInstances(java.util.function.UnaryOperator<weka.core.Instances> operator)`
`Dataset`	`buildClassifier(java.lang.String classifierSpec)`
`Dataset`	`consumeClassifier(java.util.function.Consumer<weka.classifiers.Classifier> consumer)`
`Dataset`	`consumeDataset(java.util.function.Consumer<Dataset> consumer)`
`Dataset`	`consumeEvaluation(java.util.function.Consumer<weka.classifiers.Evaluation> 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)`
`java.util.List<weka.core.Attribute>`	`getAttributes()`
`weka.classifiers.Classifier`	`getClassifier()`
`weka.classifiers.Evaluation`	`getEvaluation()`
`weka.core.Instances`	`getInstances()`
`Dataset`	`loadClassifier(java.util.function.Supplier<weka.classifiers.Classifier> supplier)`
`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)`

Methods inherited from class io.nessus.weka.Dataset
create, create, create, create, create

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - DatasetImpl
```
public DatasetImpl(weka.core.Instances instances)
```
- Method Detail
  - read
```
public Dataset read(java.nio.file.Path inpath)
```
    Specified by:
    
    read in interface FunctionalInstances<Dataset>
  - read
```
public Dataset read(java.lang.String inpath)
```
    Specified by:
    
    read in interface FunctionalInstances<Dataset>
  - read
```
public Dataset read(java.net.URL url)
```
    Specified by:
    
    read in interface FunctionalInstances<Dataset>
  - write
```
public Dataset write(java.nio.file.Path outpath)
```
    Specified by:
    
    write in interface FunctionalInstances<Dataset>
  - write
```
public Dataset write(java.lang.String outpath)
```
    Specified by:
    
    write in interface FunctionalInstances<Dataset>
  - push
```
public Dataset push()
```
    Specified by:
    
    push in interface FunctionalInstances<Dataset>
  - pushTrainingSet
```
public Dataset pushTrainingSet()
```
    Specified by:
    
    pushTrainingSet in interface FunctionalInstances<Dataset>
  - pushTestSet
```
public Dataset pushTestSet()
```
    Specified by:
    
    pushTestSet in interface FunctionalInstances<Dataset>
  - push
```
public Dataset push(java.lang.String name)
```
    Specified by:
    
    push in interface FunctionalInstances<Dataset>
  - pop
```
public Dataset pop()
```
    Specified by:
    
    pop in interface FunctionalInstances<Dataset>
  - popTrainingSet
```
public Dataset popTrainingSet()
```
    Specified by:
    
    popTrainingSet in interface FunctionalInstances<Dataset>
  - popTestSet
```
public Dataset popTestSet()
```
    Specified by:
    
    popTestSet in interface FunctionalInstances<Dataset>
  - pop
```
public Dataset pop(java.lang.String name)
```
    Specified by:
    
    pop in interface FunctionalInstances<Dataset>
  - apply
```
public Dataset apply(java.lang.String filterSpec)
```
    Specified by:
    
    apply in interface FunctionalInstances<Dataset>
  - applyToInstances
```
public Dataset applyToInstances(java.util.function.UnaryOperator<weka.core.Instances> operator)
```
    Specified by:
    
    applyToInstances in interface FunctionalInstances<Dataset>
  - applyToInstances
```
public Dataset applyToInstances(java.util.function.Function<Dataset,weka.core.Instances> function)
```
    Specified by:
    
    applyToInstances in interface FunctionalInstances<Dataset>
  - consumeInstances
```
public Dataset consumeInstances(java.util.function.Consumer<weka.core.Instances> consumer)
```
    Specified by:
    
    consumeInstances in interface FunctionalInstances<Dataset>
  - getAttributes
```
public java.util.List<weka.core.Attribute> getAttributes()
```
    Specified by:
    
    getAttributes in interface FunctionalInstances<Dataset>
  - getInstances
```
public weka.core.Instances getInstances()
```
    Specified by:
    
    getInstances in interface FunctionalInstances<Dataset>
  - applyToClassifier
```
public Dataset applyToClassifier(java.util.function.Function<Dataset,weka.classifiers.Classifier> function)
```
    Specified by:
    
    applyToClassifier in interface FunctionalClassifier<Dataset>
  - applyToClassifier
```
public Dataset applyToClassifier(java.util.function.UnaryOperator<weka.classifiers.Classifier> operator)
```
    Specified by:
    
    applyToClassifier in interface FunctionalClassifier<Dataset>
  - consumeClassifier
```
public Dataset consumeClassifier(java.util.function.Consumer<weka.classifiers.Classifier> consumer)
```
    Specified by:
    
    consumeClassifier in interface FunctionalClassifier<Dataset>
  - buildClassifier
```
public Dataset buildClassifier(java.lang.String classifierSpec)
```
    Specified by:
    
    buildClassifier in interface FunctionalClassifier<Dataset>
  - loadClassifier
```
public Dataset loadClassifier(java.util.function.Supplier<weka.classifiers.Classifier> supplier)
```
    Specified by:
    
    loadClassifier in interface FunctionalClassifier<Dataset>
  - getClassifier
```
public weka.classifiers.Classifier getClassifier()
```
    Specified by:
    
    getClassifier in interface FunctionalClassifier<Dataset>
  - applyToEvaluation
```
public Dataset applyToEvaluation(java.util.function.Function<Dataset,weka.classifiers.Evaluation> function)
```
    Specified by:
    
    applyToEvaluation in interface FunctionalEvaluation<Dataset>
  - applyToEvaluation
```
public Dataset applyToEvaluation(java.util.function.UnaryOperator<weka.classifiers.Evaluation> operator)
```
    Specified by:
    
    applyToEvaluation in interface FunctionalEvaluation<Dataset>
  - consumeEvaluation
```
public Dataset consumeEvaluation(java.util.function.Consumer<weka.classifiers.Evaluation> consumer)
```
    Specified by:
    
    consumeEvaluation in interface FunctionalEvaluation<Dataset>
  - crossValidateModel
```
public Dataset crossValidateModel(int numFolds,
                                  int seed)
```
    Specified by:
    
    crossValidateModel in interface FunctionalEvaluation<Dataset>
  - evaluateModel
```
public Dataset evaluateModel(Dataset dataset)
```
    Specified by:
    
    evaluateModel in interface FunctionalEvaluation<Dataset>
  - evaluateModel
```
public Dataset evaluateModel()
```
    Specified by:
    
    evaluateModel in interface FunctionalEvaluation<Dataset>
  - evaluate
```
public Dataset evaluate()
```
    Specified by:
    
    evaluate in interface FunctionalEvaluation<Dataset>
  - getEvaluation
```
public weka.classifiers.Evaluation getEvaluation()
```
    Specified by:
    
    getEvaluation in interface FunctionalEvaluation<Dataset>
  - consumeDataset
```
public Dataset consumeDataset(java.util.function.Consumer<Dataset> consumer)
```
    Specified by:
    
    consumeDataset in interface FunctionalInstances<Dataset>

Class DatasetImpl

Constructor Summary

Method Summary

Methods inherited from class io.nessus.weka.Dataset

Methods inherited from class java.lang.Object

Constructor Detail

DatasetImpl

Method Detail

read

read

read

write

write

push

pushTrainingSet

pushTestSet

push

pop

popTrainingSet

popTestSet

pop

apply

applyToInstances

applyToInstances

consumeInstances

getAttributes

getInstances

applyToClassifier

applyToClassifier

consumeClassifier

buildClassifier

loadClassifier

getClassifier

applyToEvaluation

applyToEvaluation

consumeEvaluation

crossValidateModel

evaluateModel

evaluateModel

evaluate

getEvaluation

consumeDataset