org.apache.spark.ml.odkl.Evaluator

EvaluatingTransformer

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
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Instance Constructors

  1. new EvaluatingTransformer(evaluator: E)

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

    evaluator

    Evaluator for calculating metrics)

Value Members

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

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  3. final def ##(): Int

    Definition Classes
    AnyRef → Any

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

    Attributes
    protected
    Definition Classes
    Params

  5. final def ==(arg0: AnyRef): Boolean

    Definition Classes
    AnyRef

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

    Definition Classes
    Any

  7. final def asInstanceOf[T0]: T0

    Definition Classes
    Any

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

    Definition Classes
    Params

  9. def clone(): AnyRef

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

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

    Definition Classes
    EvaluatingTransformer → ModelTransformer → Model → Transformer → PipelineStage → Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    AnyRef

  14. def equals(arg0: Any): Boolean

    Definition Classes
    AnyRef → Any

  15. val evaluator: E

    Evaluator for calculating metrics)

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

    Definition Classes
    Params

  17. def explainParams(): String

    Definition Classes
    Params

  18. final def extractParamMap(): ParamMap

    Definition Classes
    Params

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

    Definition Classes
    Params

  20. def finalize(): Unit

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

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

    Definition Classes
    Params

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

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Definition Classes
    Params

  27. def hasParam(paramName: String): Boolean

    Definition Classes
    Params

  28. def hasParent: Boolean

    Definition Classes
    Model

  29. def hashCode(): Int

    Definition Classes
    AnyRef → Any

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

    Definition Classes
    Params

  31. final def isInstanceOf[T0]: Boolean

    Definition Classes
    Any

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

    Definition Classes
    Params

  33. def isTraceEnabled(): Boolean

    Attributes
    protected
    Definition Classes
    Logging

  34. def log: Logger

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  41. def logName: String

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

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

    Attributes
    protected
    Definition Classes
    Logging

  46. val metrics: Block

    Definition Classes
    HasMetricsBlock

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

    Definition Classes
    AnyRef

  48. final def notify(): Unit

    Definition Classes
    AnyRef

  49. final def notifyAll(): Unit

    Definition Classes
    AnyRef

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

    Definition Classes
    Params

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

    Definition Classes
    Model

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

    Definition Classes
    ModelTransformer

  53. def save(path: String): Unit

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

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Attributes
    protected
    Definition Classes
    Params

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

    Definition Classes
    Model

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

    Definition Classes
    AnyRef

  61. def toString(): String

    Definition Classes
    Identifiable → AnyRef → Any

  62. def transform(dataset: DataFrame): DataFrame

    Definition Classes
    ModelOnlyTransformer → Transformer

  63. def transform(dataset: DataFrame, paramMap: ParamMap): DataFrame

    Definition Classes
    Transformer

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

    Definition Classes
    Transformer
    Annotations
    @varargs()

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

    Definition Classes
    EvaluatingTransformer → ModelTransformer

  66. def transformSchema(schema: StructType): StructType

    Definition Classes
    ModelOnlyTransformer → PipelineStage
    Annotations
    @DeveloperApi()

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

    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  68. val uid: String

    Definition Classes
    EvaluatingTransformer → ModelOnlyTransformer → Identifiable

  69. def validateParams(): Unit

    Definition Classes
    Params

  70. final def wait(): Unit

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  73. def write: MLWriter

    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