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

Linear Supertypes
SynapseMLLogging, Wrappable, 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. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. Mode
  8. RankingParams
  9. hasK
  10. HasLabelCol
  11. HasRecommenderCols
  12. ComplexParamsWritable
  13. MLWritable
  14. Estimator
  15. PipelineStage
  16. Logging
  17. Params
  18. Serializable
  19. Serializable
  20. Identifiable
  21. AnyRef
  22. 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 explainParam(param: Param[_]): String
    Definition Classes
    Params
  4. def explainParams(): String
    Definition Classes
    Params
  5. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  6. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  7. def fit(dataset: Dataset[_]): RankingAdapterModel
    Definition Classes
    RankingAdapter → Estimator
  8. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RankingAdapterModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  9. def fit(dataset: Dataset[_], paramMap: ParamMap): RankingAdapterModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RankingAdapterModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. def getItemCol: String
    Definition Classes
    HasRecommenderCols
  14. def getK: Int

    Definition Classes
    hasK
  15. def getLabelCol: String

    Definition Classes
    HasLabelCol
  16. def getMinRatingsPerItem: Int

    Definition Classes
    RankingParams
  17. def getMinRatingsPerUser: Int

    Definition Classes
    RankingParams
  18. def getMode: String

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

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

    The name of the label column

    The name of the label column

    Definition Classes
    HasLabelCol
  32. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  33. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  35. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  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. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  43. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  44. val ratingCol: Param[String]
    Definition Classes
    HasRecommenderCols
  45. val recommender: EstimatorParam
    Definition Classes
    RankingParams
  46. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  47. final def set[T](param: Param[T], value: T): RankingAdapter.this.type
    Definition Classes
    Params
  48. def setItemCol(value: String): RankingAdapter.this.type

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

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

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

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

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

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

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

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

    Definition Classes
    HasRecommenderCols
  57. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  58. def transformSchema(schema: StructType): StructType
    Definition Classes
    RankingAdapter → Mode → PipelineStage
  59. val uid: String
    Definition Classes
    RankingAdapter → SynapseMLLogging → Identifiable
  60. val userCol: Param[String]
    Definition Classes
    HasRecommenderCols
  61. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable