Trait

org.apache.spark.ml.recommendation

RankingTrainValidationSplitParams

Related Doc: package recommendation

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trait RankingTrainValidationSplitParams extends Wrappable with HasSeed

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HasSeed, Wrappable, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  1. RankingTrainValidationSplitParams
  2. HasSeed
  3. Wrappable
  4. Params
  5. Serializable
  6. Serializable
  7. Identifiable
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params

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    Definition Classes
    Params
  2. abstract val uid: String

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    Identifiable

Concrete Value Members

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

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  2. final def ##(): Int

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

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

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  5. final def asInstanceOf[T0]: T0

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

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  7. def clone(): AnyRef

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    protected[java.lang]
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    @throws( ... )
  8. def copyValues[T <: Params](to: T, extra: ParamMap): T

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

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

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  11. def equals(arg0: Any): Boolean

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  12. val estimator: EstimatorParam

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  13. val estimatorParamMaps: ArrayParamMapParam

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  14. val evaluator: EvaluatorParam

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

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  16. def explainParams(): String

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  17. final def extractParamMap(): ParamMap

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

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

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

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  23. def getEstimator: Estimator[_ <: Model[_]]

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  24. def getEstimatorParamMaps: Array[ParamMap]

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  25. def getEvaluator: Evaluator

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  26. def getMinRatingsI: Int

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  27. def getMinRatingsU: Int

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

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

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  30. final def getSeed: Long

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    HasSeed
  31. def getTrainRatio: Double

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

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  33. def hasParam(paramName: String): Boolean

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  34. def hashCode(): Int

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

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  36. final def isInstanceOf[T0]: Boolean

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

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  38. def logTuningParams(instrumentation: Instrumentation): Unit

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    Instrumentation logging for tuning params including the inner estimator and evaluator info.

    Instrumentation logging for tuning params including the inner estimator and evaluator info.

    Attributes
    protected
  39. val minRatingsI: IntParam

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  40. val minRatingsU: IntParam

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

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  42. final def notify(): Unit

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  43. final def notifyAll(): Unit

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

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  45. final val seed: LongParam

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    HasSeed
  46. final def set(paramPair: ParamPair[_]): RankingTrainValidationSplitParams.this.type

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  47. final def set(param: String, value: Any): RankingTrainValidationSplitParams.this.type

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

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  49. final def setDefault(paramPairs: ParamPair[_]*): RankingTrainValidationSplitParams.this.type

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

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

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  52. def toString(): String

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    Identifiable → AnyRef → Any
  53. val trainRatio: DoubleParam

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    Param for ratio between train and validation data.

    Param for ratio between train and validation data. Must be between 0 and 1. Default: 0.75

  54. def transformSchemaImpl(schema: StructType): StructType

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    Attributes
    protected
  55. final def wait(): Unit

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

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

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Inherited from HasSeed

Inherited from Wrappable

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

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