Trait

org.apache.spark.ml.automl.feature

BinaryEncoderBase

Related Doc: package feature

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trait BinaryEncoderBase extends Params with HasHandleInvalid with HasInputCols with HasOutputCols

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HasOutputCols, HasInputCols, HasHandleInvalid, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. BinaryEncoderBase
  2. HasOutputCols
  3. HasInputCols
  4. HasHandleInvalid
  5. Params
  6. Serializable
  7. Serializable
  8. Identifiable
  9. AnyRef
  10. Any
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params
  2. abstract val uid: String

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    Definition Classes
    Identifiable

Concrete Value Members

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

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    AnyRef → Any
  2. final def ##(): Int

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  3. final def $[T](param: Param[T]): T

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    Params
  4. final def ==(arg0: Any): Boolean

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    AnyRef → Any
  5. final def asInstanceOf[T0]: T0

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  6. final def clear(param: Param[_]): BinaryEncoderBase.this.type

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  7. def clone(): AnyRef

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    @throws( ... )
  8. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Params
  9. final def defaultCopy[T <: Params](extra: ParamMap): T

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

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  11. def equals(arg0: Any): Boolean

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  12. def explainParam(param: Param[_]): String

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  13. def explainParams(): String

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    Definition Classes
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  14. final def extractParamMap(): ParamMap

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  15. final def extractParamMap(extra: ParamMap): ParamMap

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  16. def finalize(): Unit

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    @throws( classOf[java.lang.Throwable] )
  17. final def get[T](param: Param[T]): Option[T]

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

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  19. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  20. final def getHandleInvalid: String

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    Definition Classes
    HasHandleInvalid
  21. final def getInputCols: Array[String]

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    Definition Classes
    HasInputCols
  22. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  23. final def getOutputCols: Array[String]

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    Definition Classes
    HasOutputCols
  24. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  25. val handleInvalid: Param[String]

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    Configuration of the Parameter for handling invalid entries in a previously modeled feature column.

    Configuration of the Parameter for handling invalid entries in a previously modeled feature column.

    Definition Classes
    BinaryEncoderBase → HasHandleInvalid
  26. final def hasDefault[T](param: Param[T]): Boolean

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  27. def hasParam(paramName: String): Boolean

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  28. def hashCode(): Int

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  29. final val inputCols: StringArrayParam

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    Definition Classes
    HasInputCols
  30. final def isDefined(param: Param[_]): Boolean

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  31. final def isInstanceOf[T0]: Boolean

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  32. final def isSet(param: Param[_]): Boolean

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

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  34. final def notify(): Unit

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  35. final def notifyAll(): Unit

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  36. final val outputCols: StringArrayParam

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    Definition Classes
    HasOutputCols
  37. lazy val params: Array[Param[_]]

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    Params
  38. final def set(paramPair: ParamPair[_]): BinaryEncoderBase.this.type

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  39. final def set(param: String, value: Any): BinaryEncoderBase.this.type

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  40. final def set[T](param: Param[T], value: T): BinaryEncoderBase.this.type

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  41. final def setDefault(paramPairs: ParamPair[_]*): BinaryEncoderBase.this.type

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  42. final def setDefault[T](param: Param[T], value: T): BinaryEncoderBase.this.type

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

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  44. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  45. def validateAndTransformSchema(schema: StructType, keepInvalid: Boolean): StructType

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    Method for validating the resultant schema from the application of building and transforming using this encoder package.

    Method for validating the resultant schema from the application of building and transforming using this encoder package. The purpose of validation is to ensure that the supplied input columns are of the correct binary or nominal (ordinal numeric) type and that the output columns will contain the correct number of columns based on the configuration set.

    schema

    The schema of the dataset supplied for training of the model or used in transforming using the model

    keepInvalid

    Boolean flag for whether to allow for an additional binary encoding value to be used for any values that were unknown at the time of model training, which will summarily be converted to a 'max binary value' of the encoding length + 1 with maximum n * "1" values.

    returns

    StructType that represents the transformed schema with additional output columns appended to the dataset structure.

    Attributes
    protected
    Annotations
    @throws( ... )
    Since

    0.5.3

    Exceptions thrown

    UnsupportedOperationException if the configured input cols and output cols do not match one another in length.

  46. final def wait(): Unit

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

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

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Inherited from HasOutputCols

Inherited from HasInputCols

Inherited from HasHandleInvalid

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped