class RankingAdapterModel extends Model[RankingAdapterModel] with ComplexParamsWritable with Wrappable with RankingParams with Mode with SynapseMLLogging

Model from train validation split.

Linear Supertypes
SynapseMLLogging, Mode, RankingParams, hasK, HasLabelCol, HasRecommenderCols, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, Model[RankingAdapterModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RankingAdapterModel
  2. SynapseMLLogging
  3. Mode
  4. RankingParams
  5. hasK
  6. HasLabelCol
  7. HasRecommenderCols
  8. Wrappable
  9. DotnetWrappable
  10. RWrappable
  11. PythonWrappable
  12. BaseWrappable
  13. ComplexParamsWritable
  14. MLWritable
  15. Model
  16. Transformer
  17. PipelineStage
  18. Logging
  19. Params
  20. Serializable
  21. Serializable
  22. Identifiable
  23. AnyRef
  24. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new RankingAdapterModel()

Value Members

  1. final def clear(param: Param[_]): RankingAdapterModel.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): RankingAdapterModel
    Definition Classes
    RankingAdapterModel → Model → Transformer → PipelineStage → Params
  3. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  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. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getItemCol: String
    Definition Classes
    HasRecommenderCols
  11. def getK: Int

    Definition Classes
    hasK
  12. def getLabelCol: String

    Definition Classes
    HasLabelCol
  13. def getMinRatingsPerItem: Int

    Definition Classes
    RankingParams
  14. def getMinRatingsPerUser: Int

    Definition Classes
    RankingParams
  15. def getMode: String

    Definition Classes
    Mode
  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. def getRatingCol: String
    Definition Classes
    HasRecommenderCols
  20. def getRecommender: Estimator[_ <: Model[_]]

    Definition Classes
    RankingParams
  21. def getRecommenderModel: Model[_]
  22. def getUserCol: String
    Definition Classes
    HasRecommenderCols
  23. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  24. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  25. def hasParent: Boolean
    Definition Classes
    Model
  26. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  27. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  28. val itemCol: Param[String]
    Definition Classes
    HasRecommenderCols
  29. val k: IntParam
    Definition Classes
    hasK
  30. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  31. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  32. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  33. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  35. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  36. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  37. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  38. val minRatingsPerItem: IntParam
    Definition Classes
    RankingParams
  39. val minRatingsPerUser: IntParam
    Definition Classes
    RankingParams
  40. val mode: Param[String]
    Definition Classes
    Mode
  41. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  42. var parent: Estimator[RankingAdapterModel]
    Definition Classes
    Model
  43. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  44. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  45. val ratingCol: Param[String]
    Definition Classes
    HasRecommenderCols
  46. def recommendForAllUsers(k: Int): DataFrame
  47. val recommender: EstimatorParam
    Definition Classes
    RankingParams
  48. val recommenderModel: TransformerParam
  49. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  50. final def set[T](param: Param[T], value: T): RankingAdapterModel.this.type
    Definition Classes
    Params
  51. def setItemCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasRecommenderCols
  52. def setK(value: Int): RankingAdapterModel.this.type

    Definition Classes
    hasK
  53. def setLabelCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasLabelCol
  54. def setMinRatingsPerItem(value: Int): RankingAdapterModel.this.type

    Definition Classes
    RankingParams
  55. def setMinRatingsPerUser(value: Int): RankingAdapterModel.this.type

    Definition Classes
    RankingParams
  56. def setMode(value: String): RankingAdapterModel.this.type

    Definition Classes
    Mode
  57. def setParent(parent: Estimator[RankingAdapterModel]): RankingAdapterModel
    Definition Classes
    Model
  58. def setRatingCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasRecommenderCols
  59. def setRecommender(value: Estimator[_ <: Model[_]]): RankingAdapterModel.this.type

    Definition Classes
    RankingParams
  60. def setRecommenderModel(m: Model[_]): RankingAdapterModel.this.type
  61. def setUserCol(value: String): RankingAdapterModel.this.type

    Definition Classes
    HasRecommenderCols
  62. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  63. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    RankingAdapterModel → Transformer
  64. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  65. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  66. def transformSchema(schema: StructType): StructType
    Definition Classes
    Mode
  67. val uid: String
    Definition Classes
    RankingAdapterModel → SynapseMLLogging → Identifiable
  68. val userCol: Param[String]
    Definition Classes
    HasRecommenderCols
  69. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable