Class

org.apache.spark.ml.odkl.Evaluator

EvaluatingTransformer

Related Doc: package Evaluator

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class EvaluatingTransformer[M <: ModelWithSummary[M], E <: Evaluator[E]] extends ModelOnlyTransformer[M, EvaluatingTransformer[M, E]] with HasMetricsBlock

Utility used for transparent injection of the evaluator into training chain. Evaluator is applied only while fitting (it adds an extra summary block), but has no other traces in the final model (does not affect predictions).

Linear Supertypes
HasMetricsBlock, ModelOnlyTransformer[M, EvaluatingTransformer[M, E]], DefaultParamsWritable, MLWritable, ModelTransformer[M, EvaluatingTransformer[M, E]], Model[EvaluatingTransformer[M, E]], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. EvaluatingTransformer
  2. HasMetricsBlock
  3. ModelOnlyTransformer
  4. DefaultParamsWritable
  5. MLWritable
  6. ModelTransformer
  7. Model
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new EvaluatingTransformer(evaluator: E)

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  2. new EvaluatingTransformer(evaluator: E, uid: String)

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    evaluator

    Evaluator for calculating metrics)

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 $[T](param: Param[T]): T

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    Params

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

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  7. def clone(): AnyRef

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

  8. def copy(extra: ParamMap): EvaluatingTransformer[M, E]

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    Definition Classes
    EvaluatingTransformer → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
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    Params

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

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    Attributes
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    Params

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

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. val evaluator: E

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    Evaluator for calculating metrics)

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

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    Definition Classes
    Params

  15. def explainParams(): String

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    Definition Classes
    Params

  16. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  18. def finalize(): Unit

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

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

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    Definition Classes
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  20. final def getClass(): Class[_]

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

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

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

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

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    Params

  25. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  26. def hasParent: Boolean

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    Definition Classes
    Model

  27. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
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    Logging

  29. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging

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

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  31. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Params

  33. def isTraceEnabled(): Boolean

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    Logging

  34. def log: Logger

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

  41. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    Attributes
    protected
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    Logging

  46. val metrics: Block

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    Definition Classes
    HasMetricsBlock

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

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    Definition Classes
    AnyRef

  48. final def notify(): Unit

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    Definition Classes
    AnyRef

  49. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

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

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    Definition Classes
    Params

  51. var parent: Estimator[EvaluatingTransformer[M, E]]

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    Definition Classes
    Model

  52. def release(originalData: DataFrame, transformedData: DataFrame): Unit

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    Definition Classes
    ModelTransformer

  53. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  54. final def set(paramPair: ParamPair[_]): EvaluatingTransformer.this.type

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  55. final def set(param: String, value: Any): EvaluatingTransformer.this.type

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

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  57. final def setDefault(paramPairs: ParamPair[_]*): EvaluatingTransformer.this.type

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

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    Params

  59. def setParent(parent: Estimator[EvaluatingTransformer[M, E]]): EvaluatingTransformer[M, E]

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    Definition Classes
    Model

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

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    Definition Classes
    AnyRef

  61. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  62. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    ModelOnlyTransformer → Transformer

  63. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  64. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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

  65. def transformModel(model: M, originalData: DataFrame): M

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    Definition Classes
    EvaluatingTransformer → ModelTransformer

  66. def transformSchema(schema: StructType): StructType

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    Definition Classes
    ModelOnlyTransformer → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
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    PipelineStage
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    @DeveloperApi()

  68. val uid: String

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    Definition Classes
    EvaluatingTransformer → ModelOnlyTransformer → Identifiable

  69. final def wait(): Unit

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    AnyRef
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    @throws( ... )

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

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    AnyRef
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    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  72. def write: MLWriter

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    Definition Classes
    DefaultParamsWritable → MLWritable

Inherited from HasMetricsBlock

Inherited from ModelOnlyTransformer[M, EvaluatingTransformer[M, E]]

Inherited from DefaultParamsWritable

Inherited from MLWritable

Inherited from ModelTransformer[M, EvaluatingTransformer[M, E]]

Inherited from Model[EvaluatingTransformer[M, E]]

Inherited from Transformer

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