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

Linear Supertypes
SynapseMLLogging, 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. SynapseMLLogging
  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: 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 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[_ <: 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 getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  14. def getValidationMetrics: Seq[_]

  15. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  16. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  17. def hasParent: Boolean
    Definition Classes
    Model
  18. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  19. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  20. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  21. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  22. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  23. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  24. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  25. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  26. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  27. var parent: Estimator[RankingTrainValidationSplitModel]
    Definition Classes
    Model
  28. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  29. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  30. def recommendForAllItems(numUsers: Int): DataFrame
  31. def recommendForAllUsers(numItems: Int): DataFrame
  32. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  33. final def set[T](param: Param[T], value: T): RankingTrainValidationSplitModel.this.type
    Definition Classes
    Params
  34. def setBestModel(value: Model[_]): RankingTrainValidationSplitModel.this.type
  35. def setParent(parent: Estimator[RankingTrainValidationSplitModel]): RankingTrainValidationSplitModel
    Definition Classes
    Model
  36. def setValidationMetrics(value: Seq[Double]): RankingTrainValidationSplitModel.this.type
  37. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  38. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    RankingTrainValidationSplitModel → Transformer
  39. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  40. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  41. def transformSchema(schema: StructType): StructType
    Definition Classes
    RankingTrainValidationSplitModel → PipelineStage
  42. val uid: String
    Definition Classes
    RankingTrainValidationSplitModel → SynapseMLLogging → Identifiable
  43. val validationMetrics: TypedDoubleArrayParam
  44. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable