class RankingAdapter extends Estimator[RankingAdapterModel] with ComplexParamsWritable with RankingParams with Mode with Wrappable with BasicLogging

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

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): RankingAdapter.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): RankingAdapter
    Definition Classes
    RankingAdapter → Estimator → 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. def fit(dataset: Dataset[_]): RankingAdapterModel
    Definition Classes
    RankingAdapter → Estimator
  9. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RankingAdapterModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], paramMap: ParamMap): RankingAdapterModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  11. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingAdapterModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  12. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  14. def getItemCol: String

    Definition Classes
    RankingAdapter → HasRecommenderCols
  15. def getK: Int

    Definition Classes
    hasK
  16. def getLabelCol: String

    Definition Classes
    HasLabelCol
  17. def getMinRatingsPerItem: Int

    Definition Classes
    RankingParams
  18. def getMinRatingsPerUser: Int

    Definition Classes
    RankingParams
  19. def getMode: String

    Definition Classes
    Mode
  20. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  21. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  22. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  23. def getRatingCol: String

    Definition Classes
    RankingAdapter → HasRecommenderCols
  24. def getRecommender: Estimator[_ <: Model[_]]

    Definition Classes
    RankingParams
  25. def getUserCol: String

    Definition Classes
    RankingAdapter → HasRecommenderCols
  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  29. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  30. val itemCol: Param[String]
    Definition Classes
    HasRecommenderCols
  31. val k: IntParam
    Definition Classes
    hasK
  32. val labelCol: Param[String]

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  33. def logClass(): Unit
    Definition Classes
    BasicLogging
  34. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  35. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  36. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  37. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  38. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  39. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  40. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  41. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  42. val minRatingsPerItem: IntParam
    Definition Classes
    RankingParams
  43. val minRatingsPerUser: IntParam
    Definition Classes
    RankingParams
  44. val mode: Param[String]
    Definition Classes
    Mode
  45. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  46. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  47. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  48. val ratingCol: Param[String]
    Definition Classes
    HasRecommenderCols
  49. val recommender: EstimatorParam
    Definition Classes
    RankingParams
  50. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  51. final def set[T](param: Param[T], value: T): RankingAdapter.this.type
    Definition Classes
    Params
  52. def setItemCol(value: String): RankingAdapter.this.type

    Definition Classes
    HasRecommenderCols
  53. def setK(value: Int): RankingAdapter.this.type

    Definition Classes
    hasK
  54. def setLabelCol(value: String): RankingAdapter.this.type

    Definition Classes
    HasLabelCol
  55. def setMinRatingsPerItem(value: Int): RankingAdapter.this.type

    Definition Classes
    RankingParams
  56. def setMinRatingsPerUser(value: Int): RankingAdapter.this.type

    Definition Classes
    RankingParams
  57. def setMode(value: String): RankingAdapter.this.type

    Definition Classes
    Mode
  58. def setRatingCol(value: String): RankingAdapter.this.type

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

    Definition Classes
    RankingParams
  60. def setUserCol(value: String): RankingAdapter.this.type

    Definition Classes
    HasRecommenderCols
  61. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  62. def transformSchema(schema: StructType): StructType
    Definition Classes
    Mode
  63. val uid: String
    Definition Classes
    RankingAdapter → BasicLogging → Identifiable
  64. val userCol: Param[String]
    Definition Classes
    HasRecommenderCols
  65. val ver: String
    Definition Classes
    BasicLogging
  66. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable