Packages

trait LIMEParams extends HasInputCol with HasOutputCol with HasPredictionCol

Linear Supertypes
HasPredictionCol, HasOutputCol, HasInputCol, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
LIMEBase, ImageLIME, TabularLIME, TabularLIMEModel, TextLIME
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. LIMEParams
  2. HasPredictionCol
  3. HasOutputCol
  4. HasInputCol
  5. Params
  6. Serializable
  7. Serializable
  8. Identifiable
  9. AnyRef
  10. Any
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Visibility
  1. Public
  2. All

Abstract Value Members

  1. abstract def copy(extra: ParamMap): Params
    Definition Classes
    Params
  2. abstract val uid: String
    Definition Classes
    Identifiable

Concrete Value Members

  1. final def clear(param: Param[_]): LIMEParams.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. def getInputCol: String

    Definition Classes
    HasInputCol
  9. def getModel: Transformer
  10. def getNSamples: Int
  11. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  12. def getOutputCol: String

    Definition Classes
    HasOutputCol
  13. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  14. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  15. def getRegularization: Double
  16. def getSamplingFraction: Double
  17. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  18. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  19. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  20. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  21. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  22. val model: TransformerParam
  23. val nSamples: IntParam
  24. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  25. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  26. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  27. val regularization: DoubleParam
  28. val samplingFraction: DoubleParam
  29. final def set[T](param: Param[T], value: T): LIMEParams.this.type
    Definition Classes
    Params
  30. def setInputCol(value: String): LIMEParams.this.type

    Definition Classes
    HasInputCol
  31. def setModel(v: Transformer): LIMEParams.this.type
  32. def setNSamples(v: Int): LIMEParams.this.type
  33. def setOutputCol(value: String): LIMEParams.this.type

    Definition Classes
    HasOutputCol
  34. def setPredictionCol(v: String): LIMEParams.this.type
  35. def setRegularization(v: Double): LIMEParams.this.type
  36. def setSamplingFraction(d: Double): LIMEParams.this.type
  37. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any