Class/Object

de.hpi.kddm.rar.dataset

WekaDataSet

Related Docs: object WekaDataSet | package dataset

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class WekaDataSet extends LabeledDataSet

Representation of a UCI data set with data loaded into memory

Linear Supertypes
LabeledDataSet, DataSet, SearchSpace, AnyRef, Any
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Inherited
  1. WekaDataSet
  2. LabeledDataSet
  3. DataSet
  4. SearchSpace
  5. AnyRef
  6. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new WekaDataSet(name: String, instances: Instances, numClasses: Int)(implicit tag: ClassTag[Feature])

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    name

    name of the data set

    instances

    reference to the WEKA instances

Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def asSubSpace: SubSpaceWithLabel

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    Definition Classes
    SearchSpace

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. def createSubSpace(dimensions: Int*): SubSpaceWithLabel

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    Definition Classes
    SearchSpace

  8. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  9. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  10. def featureAt(i: Int): Feature

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    Access the feature at the given index

    Access the feature at the given index

    i

    index

    returns

    feature at the index of the dataset

    Definition Classes
    WekaDataSet → DataSet → SearchSpace

  11. def featureIndices: Iterable[Int]

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    Definition Classes
    WekaDataSet → SearchSpace

  12. lazy val features: Map[Int, Product with Serializable with Feature with LazyLogging]

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  13. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  14. def firstDimension: Int

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    Definition Classes
    SearchSpace

  15. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  16. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  17. val instances: Instances

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    reference to the WEKA instances

    reference to the WEKA instances

    Definition Classes
    WekaDataSet → SearchSpace

  18. def isArtificial: Boolean

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    Definition Classes
    WekaDataSet → SearchSpace

  19. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  20. lazy val labels: NominalFeature

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    Labels of the instances

    Labels of the instances

    returns

    labels

    Definition Classes
    WekaDataSet → LabeledDataSet → SearchSpace

  21. val name: String

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    name of the data set

    name of the data set

    Definition Classes
    WekaDataSet → LabeledDataSet

  22. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  23. final def notify(): Unit

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    Definition Classes
    AnyRef

  24. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  25. val numClasses: Int

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    Definition Classes
    WekaDataSet → SearchSpace

  26. def numberOfDimensions: Int

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    Definition Classes
    WekaDataSet → SearchSpace

  27. def stats: String

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  28. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  29. implicit val tag: ClassTag[Feature]

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  30. def tailDimensions: Range

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    Definition Classes
    SearchSpace

  31. def toString(): String

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    Definition Classes
    AnyRef → Any

  32. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  33. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  34. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from LabeledDataSet

Inherited from DataSet

Inherited from SearchSpace

Inherited from AnyRef

Inherited from Any

Ungrouped