Class

ksb.csle.didentification.privacy

BasePrivacyAnonymizer

Related Doc: package privacy

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abstract class BasePrivacyAnonymizer extends BaseDataOperator[StreamOperatorInfo, DataFrame] with DataFrameCheck

This abstract class defines some functions that are shared by basic de-identification modules.

Linear Supertypes
DataFrameCheck, BaseDataOperator[StreamOperatorInfo, DataFrame], BaseGenericOperator[StreamOperatorInfo, DataFrame], BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame], BaseDoer, Logging, Serializable, Serializable, AnyRef, Any
Known Subclasses
Ordering
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Inherited
  1. BasePrivacyAnonymizer
  2. DataFrameCheck
  3. BaseDataOperator
  4. BaseGenericOperator
  5. BaseGenericMutantOperator
  6. BaseDoer
  7. Logging
  8. Serializable
  9. Serializable
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new BasePrivacyAnonymizer(o: StreamOperatorInfo, p: PrivacyCheckInfo)

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Abstract Value Members

  1. abstract def anonymizeColumn(src: DataFrame, columnName: String): DataFrame

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    This abstract function defines how to anonymize the column.

    This abstract function defines how to anonymize the column. The object inheriting this abstract class should override this function.

    src

    dataframe to anonymize

    columnName

    Column to be anonymized

    returns

    DataFrame The dataframe which replaces original column with anonymized column

  2. abstract def operate(d: DataFrame): DataFrame

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    Definition Classes
    BaseGenericOperator → BaseGenericMutantOperator
    Annotations
    @DeveloperApi()

Concrete 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. def anonymize(src: DataFrame, columnNames: Array[String]): DataFrame

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  5. def anonymize(src: DataFrame, columnName: String): DataFrame

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    Anonymizes the column specified in src dataframe using generic 'Type' method.

    Anonymizes the column specified in src dataframe using generic 'Type' method. The 'Type' is decided by inherited object module.

    src

    Dataframe to anonymize

    columnName

    Column to be anonymized

    returns

    DataFrame The dataframe which replaces original column with anonymized column

  6. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  7. def clone(): AnyRef

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

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

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    Definition Classes
    AnyRef → Any
  12. def getColumnName(src: DataFrame, columnId: Int): String

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    Returns column name from src dataframe specified by the column ID defined by protobuf.

    Returns column name from src dataframe specified by the column ID defined by protobuf.

    src

    dataframe to get names of columns.

    columnId

    column ID to anonymize.

    returns

    String.

    Definition Classes
    DataFrameCheck
  13. def getColumnNames(src: DataFrame, columnIDs: Array[Int]): Array[String]

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    Returns column names from src dataframe specified by column IDs.

    Returns column names from src dataframe specified by column IDs. Note that the column with invalid IDs are ignored.

    src

    dataframe to get names of columns.

    returns

    Array[String].

    Definition Classes
    DataFrameCheck
  14. def getQuasiColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

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    Definition Classes
    DataFrameCheck
  15. def getSensColumnIDs(fieldInfos: Array[FieldInfo]): Array[Int]

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    Definition Classes
    DataFrameCheck
  16. def getValidColumnIDs(src: DataFrame, columnIDs: Array[Int]): Array[Int]

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    Definition Classes
    DataFrameCheck
  17. def hashCode(): Int

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

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    Definition Classes
    Any
  19. def isValidColumnID(src: DataFrame, columnID: Int): Boolean

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    Checks the given column ID is valid.

    Checks the given column ID is valid.

    src

    dataframe to get names of columns.

    returns

    Boolean.

    Definition Classes
    DataFrameCheck
  20. def isValidColumnName(src: DataFrame, columnName: String): Boolean

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    Checks the given column Name is valid.

    Checks the given column Name is valid.

    src

    dataframe to get names of columns.

    columnName

    column Name.

    returns

    Boolean.

    Definition Classes
    DataFrameCheck
  21. val logger: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  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 privacy: PrivacyCheckInfo

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  26. def stop: Unit

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    Definition Classes
    BaseGenericOperator → BaseGenericMutantOperator
  27. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  28. def toString(): String

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    Definition Classes
    AnyRef → Any
  29. final def wait(): Unit

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  31. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataFrameCheck

Inherited from BaseDataOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericOperator[StreamOperatorInfo, DataFrame]

Inherited from BaseGenericMutantOperator[StreamOperatorInfo, DataFrame, DataFrame]

Inherited from BaseDoer

Inherited from Logging

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

Ungrouped