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org.apache.spark.ml.recommendation

RankingTrainValidationSplitParams

trait RankingTrainValidationSplitParams extends Wrappable with HasSeed

Linear Supertypes
HasSeed, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
RankingTrainValidationSplit
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Inherited
  1. RankingTrainValidationSplitParams
  2. HasSeed
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. Params
  8. Serializable
  9. Serializable
  10. Identifiable
  11. AnyRef
  12. 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. val estimator: EstimatorParam
  3. val estimatorParamMaps: ArrayParamMapParam
  4. val evaluator: EvaluatorParam
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getEstimator: Estimator[_ <: Model[_]]

  12. def getEstimatorParamMaps: Array[ParamMap]

  13. def getEvaluator: Evaluator

  14. def getMinRatingsI: Int

  15. def getMinRatingsU: Int

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

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