Class/Object

ksb.csle.didentification.verification.loss

HierarchicalTreeLoss

Related Docs: object HierarchicalTreeLoss | package loss

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class HierarchicalTreeLoss extends InformationLoss

This class implements the loss measure method named as hierarchical tree loss. To Be Modified for future

Linear Supertypes
InformationLoss, Serializable, Serializable, AnyRef, Any
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Inherited
  1. HierarchicalTreeLoss
  2. InformationLoss
  3. Serializable
  4. Serializable
  5. AnyRef
  6. Any
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Visibility
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Instance Constructors

  1. new HierarchicalTreeLoss(hier: Map[FieldInfo, ColumnHierarchy])

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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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    Any
  5. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  6. def convertColumntoArray(src: DataFrame, columnName: String): Array[String]

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    Converts all the contents of a specific column to the array of string.

    Converts all the contents of a specific column to the array of string.

    src

    the dataframe

    columnName

    the column name

    returns

    Array[String] the number of equivalence classes

    Definition Classes
    InformationLoss
  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  9. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  10. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  11. def getNumEquivalence(src: DataFrame, columnNames: Array[String]): Double

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    Gets the number of the equivalence class which is composed of referring to the columns of quasi-identifiers.

    Gets the number of the equivalence class which is composed of referring to the columns of quasi-identifiers.

    src

    the dataframe

    columnNames

    the array of quasi-identifier columns

    returns

    Long the number of equivalence classes

    Definition Classes
    InformationLoss
  12. var h: Map[FieldInfo, ColumnHierarchy]

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  13. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  14. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  15. def lossMeasure(src: DataFrame, anonymizedSrc: DataFrame, suppressedSrc: DataFrame, columnNames: Array[String]): InformationLossBound

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    Measures the information loss bound of anonymized data

    Measures the information loss bound of anonymized data

    src

    the dataframe

    anonymizedSrc

    the anonymized dataframe

    suppressedSrc

    the suppressed dataframe

    columnNames

    the array of column names

    returns

    InformationLossBound the measured information loss bound

    Definition Classes
    HierarchicalTreeLossInformationLoss
  16. def lossMeasure(src: DataFrame, anonymizedSrc: DataFrame, columnNames: Array[String]): InformationLossBound

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    Measures the information loss of anonymized data compared to the original data.

    Measures the information loss of anonymized data compared to the original data.

    src

    the dataframe

    anonymizedSrc

    the anonymized dataframe

    columnNames

    the array of column names

    returns

    InformationLossBound the measured information loss bound

    Definition Classes
    InformationLoss
  17. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  18. final def notify(): Unit

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    Definition Classes
    AnyRef
  19. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  20. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  21. def toString(): String

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    AnyRef → Any
  22. final def wait(): Unit

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    AnyRef
    Annotations
    @throws( ... )
  23. final def wait(arg0: Long, arg1: Int): Unit

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    Annotations
    @throws( ... )
  24. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from InformationLoss

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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