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

Linear Supertypes
SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, RecommendationIndexerBase, ComplexParamsWritable, MLWritable, Estimator[RecommendationIndexerModel], PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RecommendationIndexer
  2. SynapseMLLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. RecommendationIndexerBase
  8. ComplexParamsWritable
  9. MLWritable
  10. Estimator
  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 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 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[_]): RecommendationIndexerModel
    Definition Classes
    RecommendationIndexer → Estimator
  8. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[RecommendationIndexerModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  9. def fit(dataset: Dataset[_], paramMap: ParamMap): RecommendationIndexerModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): RecommendationIndexerModel
    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 getItemInputCol: String

    Definition Classes
    RecommendationIndexerBase
  14. def getItemOutputCol: String

    Definition Classes
    RecommendationIndexerBase
  15. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  16. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  17. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  18. def getRatingCol: String

    Definition Classes
    RecommendationIndexerBase
  19. def getUserInputCol: String

    Definition Classes
    RecommendationIndexerBase
  20. def getUserOutputCol: String

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

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

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

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

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

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