class RankingTrainValidationSplitModel extends Model[RankingTrainValidationSplitModel] with Wrappable with ComplexParamsWritable with BasicLogging

Linear Supertypes
BasicLogging, ComplexParamsWritable, MLWritable, Wrappable, RWrappable, PythonWrappable, BaseWrappable, Model[RankingTrainValidationSplitModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingTrainValidationSplitModel
  2. BasicLogging
  3. ComplexParamsWritable
  4. MLWritable
  5. Wrappable
  6. RWrappable
  7. PythonWrappable
  8. BaseWrappable
  9. Model
  10. Transformer
  11. PipelineStage
  12. Logging
  13. Params
  14. Serializable
  15. Serializable
  16. Identifiable
  17. AnyRef
  18. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RankingTrainValidationSplitModel()
  2. new RankingTrainValidationSplitModel(uid: String)

Value Members

  1. val bestModel: TransformerParam
  2. final def clear(param: Param[_]): RankingTrainValidationSplitModel.this.type
    Definition Classes
    Params
  3. def copy(extra: ParamMap): RankingTrainValidationSplitModel
    Definition Classes
    RankingTrainValidationSplitModel → Model → Transformer → PipelineStage → Params
  4. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  5. def explainParams(): String
    Definition Classes
    Params
  6. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  7. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  8. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  9. def getBestModel: Model[_]

  10. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  12. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  13. def getValidationMetrics: Seq[_]

  14. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  15. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  16. def hasParent: Boolean
    Definition Classes
    Model
  17. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  18. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  19. def logClass(): Unit
    Definition Classes
    BasicLogging
  20. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  21. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  22. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  23. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  24. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  25. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  26. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  27. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  28. var parent: Estimator[RankingTrainValidationSplitModel]
    Definition Classes
    Model
  29. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  30. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  31. def recommendForAllItems(numUsers: Int): DataFrame
  32. def recommendForAllUsers(numItems: Int): DataFrame
  33. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  34. final def set[T](param: Param[T], value: T): RankingTrainValidationSplitModel.this.type
    Definition Classes
    Params
  35. def setBestModel(value: Model[_]): RankingTrainValidationSplitModel.this.type
  36. def setParent(parent: Estimator[RankingTrainValidationSplitModel]): RankingTrainValidationSplitModel
    Definition Classes
    Model
  37. def setValidationMetrics(value: Seq[Double]): RankingTrainValidationSplitModel.this.type
  38. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  39. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    RankingTrainValidationSplitModel → Transformer
  40. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  41. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  42. def transformSchema(schema: StructType): StructType
    Definition Classes
    RankingTrainValidationSplitModel → PipelineStage
  43. val uid: String
    Definition Classes
    RankingTrainValidationSplitModel → BasicLogging → Identifiable
  44. val validationMetrics: TypedArrayParam[Double]
  45. val ver: String
    Definition Classes
    BasicLogging
  46. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable