class RecommendationIndexerModel extends Model[RecommendationIndexerModel] with RecommendationIndexerBase with Wrappable with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, RecommendationIndexerBase, ComplexParamsWritable, MLWritable, Model[RecommendationIndexerModel], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. RecommendationIndexerModel
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. RecommendationIndexerBase
  9. ComplexParamsWritable
  10. MLWritable
  11. Model
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): RecommendationIndexerModel.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): RecommendationIndexerModel
    Definition Classes
    RecommendationIndexerModel → 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 getItemIndex: Map[Int, String]
  11. def getItemIndexModel: StringIndexerModel
  12. def getItemInputCol: String

    Definition Classes
    RecommendationIndexerBase
  13. def getItemOutputCol: String

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

    Definition Classes
    RecommendationIndexerBase
  18. def getUserIndex: Map[Int, String]
  19. def getUserIndexModel: StringIndexerModel
  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. def hasParent: Boolean
    Definition Classes
    Model
  25. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  26. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  27. val itemIndexModel: TransformerParam
  28. val itemInputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  29. val itemOutputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  30. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  31. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  32. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  33. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  34. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  35. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  36. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  37. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  38. var parent: Estimator[RecommendationIndexerModel]
    Definition Classes
    Model
  39. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  40. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  41. val ratingCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  42. def recoverItem(): UserDefinedFunction
  43. def recoverUser(): UserDefinedFunction
  44. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  45. final def set[T](param: Param[T], value: T): RecommendationIndexerModel.this.type
    Definition Classes
    Params
  46. def setItemIndexModel(m: StringIndexerModel): RecommendationIndexerModel.this.type
  47. def setItemInputCol(value: String): RecommendationIndexerModel.this.type

    Definition Classes
    RecommendationIndexerBase
  48. def setItemOutputCol(value: String): RecommendationIndexerModel.this.type

    Definition Classes
    RecommendationIndexerBase
  49. def setParent(parent: Estimator[RecommendationIndexerModel]): RecommendationIndexerModel
    Definition Classes
    Model
  50. def setRatingCol(value: String): RecommendationIndexerModel.this.type

    Definition Classes
    RecommendationIndexerBase
  51. def setUserIndexModel(m: StringIndexerModel): RecommendationIndexerModel.this.type
  52. def setUserInputCol(value: String): RecommendationIndexerModel.this.type

    Definition Classes
    RecommendationIndexerBase
  53. def setUserOutputCol(value: String): RecommendationIndexerModel.this.type

    Definition Classes
    RecommendationIndexerBase
  54. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  55. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    RecommendationIndexerModel → Transformer
  56. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  57. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  58. def transformSchema(schema: StructType): StructType
    Definition Classes
    RecommendationIndexerBase
  59. val uid: String
    Definition Classes
    RecommendationIndexerModel → SynapseMLLogging → Identifiable
  60. val userIndexModel: TransformerParam
  61. val userInputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  62. val userOutputCol: Param[String]
    Definition Classes
    RecommendationIndexerBase
  63. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable