Class

org.apache.spark.ml.odkl

RegressionEvaluator

Related Doc: package odkl

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class RegressionEvaluator extends Evaluator[RegressionEvaluator]

Simple evaluator based on the mllib.RegressionMetrics.

TODO: Add unit tests

Linear Supertypes
Evaluator[RegressionEvaluator], HasPredictionCol, HasLabelCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RegressionEvaluator
  2. Evaluator
  3. HasPredictionCol
  4. HasLabelCol
  5. Transformer
  6. PipelineStage
  7. Logging
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RegressionEvaluator()

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  2. new RegressionEvaluator(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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    Attributes
    protected
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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[_]): RegressionEvaluator.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): RegressionEvaluator

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    Definition Classes
    RegressionEvaluator → Evaluator → 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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    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. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  14. def explainParams(): String

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

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    Params

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

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    AnyRef → Any

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

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    Definition Classes
    Params

  21. final def getLabelCol: String

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    Definition Classes
    HasLabelCol

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

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  24. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  25. def getThroughOrigin: Boolean

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

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    Params

  27. def hasParam(paramName: String): Boolean

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    Params

  28. def hashCode(): Int

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    AnyRef → Any

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

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    protected
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    Logging

  30. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Logging

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

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    Params

  32. final def isInstanceOf[T0]: Boolean

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    Any

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

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    Params

  34. def isTraceEnabled(): Boolean

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    Attributes
    protected
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    Logging

  35. final val labelCol: Param[String]

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    Definition Classes
    HasLabelCol

  36. def log: Logger

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    protected
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    Logging

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

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    Logging

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

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    Logging

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

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

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

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    Logging

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

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    Logging

  43. def logName: String

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    Logging

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

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    Logging

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

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    Logging

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

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    Logging

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

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    protected
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    Logging

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

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    Definition Classes
    AnyRef

  49. final def notify(): Unit

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    Definition Classes
    AnyRef

  50. final def notifyAll(): Unit

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    AnyRef

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

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    Definition Classes
    Params

  52. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  53. final def set(paramPair: ParamPair[_]): RegressionEvaluator.this.type

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    Params

  54. final def set(param: String, value: Any): RegressionEvaluator.this.type

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

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    Params

  56. final def setDefault(paramPairs: ParamPair[_]*): RegressionEvaluator.this.type

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

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    Params

  58. def setLabelColumn(value: String): RegressionEvaluator.this.type

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    Definition Classes
    Evaluator

  59. def setPredictionColumn(value: String): RegressionEvaluator.this.type

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    Definition Classes
    Evaluator

  60. def setThroughOrigin(value: Boolean): RegressionEvaluator.this.type

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

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    Definition Classes
    AnyRef

  62. val throughOrigin: BooleanParam

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  63. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

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

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    Definition Classes
    RegressionEvaluator → Transformer

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

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

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

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

  67. def transformSchema(schema: StructType): StructType

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    Definition Classes
    RegressionEvaluator → PipelineStage
    Annotations
    @DeveloperApi()

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

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    Attributes
    protected
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    PipelineStage
    Annotations
    @DeveloperApi()

  69. val uid: String

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    Definition Classes
    RegressionEvaluator → Evaluator → Identifiable

  70. final def wait(): Unit

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    @throws( ... )

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

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    @throws( ... )

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

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    @throws( ... )

Inherited from Evaluator[RegressionEvaluator]

Inherited from HasPredictionCol

Inherited from HasLabelCol

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