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

Linear Supertypes
BasicLogging, ComplexParamsWritable, MLWritable, Wrappable, DotnetWrappable, 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. DotnetWrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. Model
  11. Transformer
  12. PipelineStage
  13. Logging
  14. Params
  15. Serializable
  16. Serializable
  17. Identifiable
  18. AnyRef
  19. 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: ModelParam
  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 dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  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. def getBestModel: Model[_ <: Model[_]]

  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  13. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  14. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  15. def getValidationMetrics: Seq[_]

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