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org.apache.spark.ml.recommendation

RankingTrainValidationSplitParams

trait RankingTrainValidationSplitParams extends Wrappable with HasSeed

Linear Supertypes
HasSeed, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
RankingTrainValidationSplit
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Inherited
  1. RankingTrainValidationSplitParams
  2. HasSeed
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. Params
  9. Serializable
  10. Serializable
  11. Identifiable
  12. AnyRef
  13. Any
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Visibility
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Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params
    Definition Classes
    Params
  2. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def clear(param: Param[_]): RankingTrainValidationSplitParams.this.type
    Definition Classes
    Params
  2. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  3. val estimator: EstimatorParam
  4. val estimatorParamMaps: ArrayParamMapParam
  5. val evaluator: EvaluatorParam
  6. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  7. def explainParams(): String
    Definition Classes
    Params
  8. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  9. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  10. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. def getEstimator: Estimator[_ <: Model[_]]

  13. def getEstimatorParamMaps: Array[ParamMap]

  14. def getEvaluator: Evaluator

  15. def getMinRatingsI: Int

  16. def getMinRatingsU: Int

  17. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  20. final def getSeed: Long
    Definition Classes
    HasSeed
  21. def getTrainRatio: Double

  22. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  23. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  24. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  25. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  26. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  27. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  28. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  29. val minRatingsI: IntParam
  30. val minRatingsU: IntParam
  31. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  32. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  33. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  34. final val seed: LongParam
    Definition Classes
    HasSeed
  35. final def set[T](param: Param[T], value: T): RankingTrainValidationSplitParams.this.type
    Definition Classes
    Params
  36. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  37. val trainRatio: DoubleParam

    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