Class

org.apache.spark.ml.odkl

MLWrapper

Related Doc: package odkl

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class MLWrapper[M <: Model[M]] extends Estimator[MLWrapperModel[M]] with SummarizableEstimator[MLWrapperModel[M]]

Utility used to bridge default spark ML models into our advanced pipelines. TODO: Provide summary extractors

Linear Supertypes
SummarizableEstimator[MLWrapperModel[M]], Estimator[MLWrapperModel[M]], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. MLWrapper
  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 MLWrapper(nested: Estimator[M])

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  2. new MLWrapper(nested: Estimator[M], summaryExtractor: (M) ⇒ Map[Block, DataFrame])

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  3. new MLWrapper(nested: Estimator[M], summaryExtractor: (M) ⇒ Map[Block, DataFrame], uid: String)

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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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    AnyRef → Any

  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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    Definition Classes
    Any

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

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

  8. def copy(extra: ParamMap): MLWrapper[M]

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    Definition Classes
    MLWrapper → SummarizableEstimator → Estimator → PipelineStage → Params

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

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    Params

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

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    AnyRef → Any

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

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    Params

  14. def explainParams(): String

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    Params

  15. final def extractParamMap(): ParamMap

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    Params

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

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    Params

  17. def finalize(): Unit

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

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

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    Definition Classes
    MLWrapper → Estimator

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

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

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

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

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    Definition Classes
    Params

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

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    AnyRef → Any

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

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

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

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

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  28. def hasParam(paramName: String): Boolean

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  29. def hashCode(): Int

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    AnyRef → Any

  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
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    Logging

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

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  32. final def isInstanceOf[T0]: Boolean

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

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  34. def isTraceEnabled(): Boolean

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    Logging

  35. def log: Logger

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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

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

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    Logging

  42. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    AnyRef

  48. val nested: Estimator[M]

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  49. final def notify(): Unit

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  50. final def notifyAll(): Unit

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

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    Params

  52. final def set(paramPair: ParamPair[_]): MLWrapper.this.type

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  53. final def set(param: String, value: Any): MLWrapper.this.type

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

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  55. final def setDefault(paramPairs: ParamPair[_]*): MLWrapper.this.type

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

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  57. val summaryExtractor: (M) ⇒ Map[Block, DataFrame]

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

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    Definition Classes
    AnyRef

  59. def toString(): String

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    Identifiable → AnyRef → Any

  60. def transformSchema(schema: StructType): StructType

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    Definition Classes
    MLWrapper → PipelineStage

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

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    PipelineStage
    Annotations
    @DeveloperApi()

  62. val uid: String

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    Definition Classes
    MLWrapper → Identifiable

  63. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from SummarizableEstimator[MLWrapperModel[M]]

Inherited from Estimator[MLWrapperModel[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