trait LocalExplainer extends Transformer with HasExplainTarget with HasOutputCol with HasModel with ComplexParamsWritable

Linear Supertypes
ComplexParamsWritable, MLWritable, HasModel, HasOutputCol, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
ImageLIME, ImageSHAP, KernelSHAPBase, LIMEBase, TabularLIME, TabularSHAP, TextLIME, TextSHAP, VectorLIME, VectorSHAP
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  2. By Inheritance
Inherited
  1. LocalExplainer
  2. ComplexParamsWritable
  3. MLWritable
  4. HasModel
  5. HasOutputCol
  6. HasExplainTarget
  7. CanValidateSchema
  8. Transformer
  9. PipelineStage
  10. Logging
  11. Params
  12. Serializable
  13. Serializable
  14. Identifiable
  15. AnyRef
  16. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Transformer
    Definition Classes
    Transformer → PipelineStage → Params
  2. abstract def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  3. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def clear(param: Param[_]): LocalExplainer.this.type
    Definition Classes
    Params
  2. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  3. def explainParams(): String
    Definition Classes
    Params
  4. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  5. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  6. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  7. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  8. final def getModel: Transformer
    Definition Classes
    HasModel
  9. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  10. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  11. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  12. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  13. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  14. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  15. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  16. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  17. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  18. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  19. final val model: TransformerParam
    Definition Classes
    HasModel
  20. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  21. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  22. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  23. final def set[T](param: Param[T], value: T): LocalExplainer.this.type
    Definition Classes
    Params
  24. final def setModel(v: Transformer): LocalExplainer.this.type
    Definition Classes
    HasModel
  25. final def setOutputCol(value: String): LocalExplainer.this.type
  26. final def setTargetClasses(values: Array[Int]): LocalExplainer.this.type
    Definition Classes
    HasExplainTarget
  27. final def setTargetClassesCol(value: String): LocalExplainer.this.type
    Definition Classes
    HasExplainTarget
  28. final def setTargetCol(value: String): LocalExplainer.this.type
    Definition Classes
    HasExplainTarget
  29. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  30. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  31. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  32. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  33. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  34. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  35. def transformSchema(schema: StructType): StructType
    Definition Classes
    LocalExplainer → PipelineStage
  36. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable