Class/Object

org.apache.spark.ml.odkl

UnwrappedStage

Related Docs: object UnwrappedStage | package odkl

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class UnwrappedStage[M <: ModelWithSummary[M], T <: ModelTransformer[M, T]] extends Estimator[M] with SummarizableEstimator[M]

In case if we can avoid certain stages used during training while predicting we need to propagate some changes to the model (eg. unscale weights or remove intercept). Also useful for extending summary blocks (eg. during evaluation/cross-validation).

This class is used as a typical pipeline stage while training (fits and applies transformer, then calls the nested estimator), but it automatically eliminates itself from the resulting model by applying model transformer.

Linear Supertypes
SummarizableEstimator[M], Estimator[M], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. UnwrappedStage
  2. SummarizableEstimator
  3. Estimator
  4. PipelineStage
  5. Logging
  6. Params
  7. Serializable
  8. Serializable
  9. Identifiable
  10. AnyRef
  11. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new UnwrappedStage(estimator: Estimator[M], transformer: T)

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  2. new UnwrappedStage(estimator: Estimator[M], transformerTrainer: Estimator[T])

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  3. new UnwrappedStage(estimator: Estimator[M], transformerTrainer: Estimator[T], uid: String)

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    estimator

    Nested estimator to pass control

    transformerTrainer

    Estimator for fitting data AND model transformer.

Value Members

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

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    Definition Classes
    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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    Any

  6. def cacheTransformed: BooleanParam

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  7. final def clear(param: Param[_]): UnwrappedStage.this.type

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    Definition Classes
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  8. def clone(): AnyRef

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    protected[java.lang]
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    AnyRef
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    @throws( ... )

  9. def copy(extra: ParamMap): SummarizableEstimator[M]

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    Definition Classes
    UnwrappedStage → SummarizableEstimator → Estimator → PipelineStage → Params

  10. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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    AnyRef

  13. def equals(arg0: Any): Boolean

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    AnyRef → Any

  14. val estimator: Estimator[M]

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    Nested estimator to pass control

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

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    Params

  16. def explainParams(): String

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    Params

  17. final def extractParamMap(): ParamMap

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    Params

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

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  19. def finalize(): Unit

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    protected[java.lang]
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    @throws( classOf[java.lang.Throwable] )

  20. def fit(dataset: Dataset[_]): M

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    Definition Classes
    UnwrappedStage → Estimator

  21. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[M]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  22. def fit(dataset: Dataset[_], paramMap: ParamMap): M

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    Definition Classes
    Estimator
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    @Since( "2.0.0" )

  23. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): M

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  24. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

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

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    AnyRef → Any

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

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  27. final def getOrDefault[T](param: Param[T]): T

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  28. def getParam(paramName: String): Param[Any]

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  29. final def hasDefault[T](param: Param[T]): Boolean

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  30. def hasParam(paramName: String): Boolean

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  31. def hashCode(): Int

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    AnyRef → Any

  32. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
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    Logging

  33. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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  34. final def isDefined(param: Param[_]): Boolean

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  35. final def isInstanceOf[T0]: Boolean

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

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  37. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  38. def log: Logger

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    Logging

  39. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  40. def logDebug(msg: ⇒ String): Unit

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    Logging

  41. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  42. def logError(msg: ⇒ String): Unit

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    Logging

  43. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  44. def logInfo(msg: ⇒ String): Unit

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    Logging

  45. def logName: String

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    Logging

  46. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  47. def logTrace(msg: ⇒ String): Unit

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    Logging

  48. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Logging

  49. def logWarning(msg: ⇒ String): Unit

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    Logging

  50. def materializeCached: BooleanParam

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

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    AnyRef

  52. final def notify(): Unit

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    AnyRef

  53. final def notifyAll(): Unit

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  54. lazy val params: Array[Param[_]]

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    Params

  55. final def set(paramPair: ParamPair[_]): UnwrappedStage.this.type

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  56. final def set(param: String, value: Any): UnwrappedStage.this.type

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

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  58. def setCacheTransformed(value: Boolean = true): UnwrappedStage.this.type

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  59. final def setDefault(paramPairs: ParamPair[_]*): UnwrappedStage.this.type

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

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  61. def setMaterializeCached(value: Boolean = true): UnwrappedStage.this.type

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

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    Definition Classes
    AnyRef

  63. def toString(): String

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    Identifiable → AnyRef → Any

  64. def transformSchema(schema: StructType): StructType

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    Definition Classes
    UnwrappedStage → PipelineStage
    Annotations
    @DeveloperApi()

  65. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  66. val transformerTrainer: Estimator[T]

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    Estimator for fitting data AND model transformer.

  67. val uid: String

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    Definition Classes
    UnwrappedStage → Identifiable

  68. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from SummarizableEstimator[M]

Inherited from Estimator[M]

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped