class RecommendationIndexer extends Estimator[RecommendationIndexerModel] with RecommendationIndexerBase with Wrappable with SynapseMLLogging

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Inherited
  1. RecommendationIndexer
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. RecommendationIndexerBase
  9. ComplexParamsWritable
  10. MLWritable
  11. Estimator
  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 RecommendationIndexer()
  2. new RecommendationIndexer(uid: String)

Value Members

  1. final def clear(param: Param[_]): RecommendationIndexer.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Estimator[RecommendationIndexerModel]
    Definition Classes
    RecommendationIndexer → 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[_]): RecommendationIndexerModel
    Definition Classes
    RecommendationIndexer → Estimator
  9. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RecommendationIndexerModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], paramMap: ParamMap): RecommendationIndexerModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  11. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RecommendationIndexerModel
    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 getItemInputCol: String

    Definition Classes
    RecommendationIndexerBase
  15. def getItemOutputCol: String

    Definition Classes
    RecommendationIndexerBase
  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
    RecommendationIndexerBase
  20. def getUserInputCol: String

    Definition Classes
    RecommendationIndexerBase
  21. def getUserOutputCol: String

    Definition Classes
    RecommendationIndexerBase
  22. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  23. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  24. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  25. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  26. val itemInputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  27. val itemOutputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  28. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  29. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  30. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  31. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  32. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  33. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  34. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  35. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  36. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  37. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  38. val ratingCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  39. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  40. final def set[T](param: Param[T], value: T): RecommendationIndexer.this.type
    Definition Classes
    Params
  41. def setItemInputCol(value: String): RecommendationIndexer.this.type

    Definition Classes
    RecommendationIndexerBase
  42. def setItemOutputCol(value: String): RecommendationIndexer.this.type

    Definition Classes
    RecommendationIndexerBase
  43. def setRatingCol(value: String): RecommendationIndexer.this.type

    Definition Classes
    RecommendationIndexerBase
  44. def setUserInputCol(value: String): RecommendationIndexer.this.type

    Definition Classes
    RecommendationIndexerBase
  45. def setUserOutputCol(value: String): RecommendationIndexer.this.type

    Definition Classes
    RecommendationIndexerBase
  46. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  47. def transformSchema(schema: StructType): StructType
    Definition Classes
    RecommendationIndexerBase
  48. val uid: String
    Definition Classes
    RecommendationIndexerSynapseMLLogging → Identifiable
  49. val userInputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  50. val userOutputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  51. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable