class TabularLIME extends LIMEBase with HasInputCols with HasBackgroundData

Linear Supertypes
HasBackgroundData, HasInputCols, LIMEBase, BasicLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, LIMEParams, HasMetricsCol, HasNumSamples, LocalExplainer, ComplexParamsWritable, MLWritable, HasModel, HasOutputCol, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TabularLIME
  2. HasBackgroundData
  3. HasInputCols
  4. LIMEBase
  5. BasicLogging
  6. Wrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. LIMEParams
  11. HasMetricsCol
  12. HasNumSamples
  13. LocalExplainer
  14. ComplexParamsWritable
  15. MLWritable
  16. HasModel
  17. HasOutputCol
  18. HasExplainTarget
  19. CanValidateSchema
  20. Transformer
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final val backgroundData: DataFrameParam
    Definition Classes
    HasBackgroundData
  2. val categoricalFeatures: StringArrayParam
  3. final def clear(param: Param[_]): TabularLIME.this.type
    Definition Classes
    Params
  4. def copy(extra: ParamMap): Transformer
    Definition Classes
    LIMEBase → Transformer → PipelineStage → Params
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. final def getBackgroundData: DataFrame
    Definition Classes
    HasBackgroundData
  11. def getCategoricalFeatures: Array[String]
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. final def getInputCols: Array[String]
    Definition Classes
    HasInputCols
  14. def getKernelWidth: Double
    Definition Classes
    LIMEParams
  15. final def getMetricsCol: String
    Definition Classes
    HasMetricsCol
  16. final def getModel: Transformer
    Definition Classes
    HasModel
  17. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  18. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  19. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  20. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  21. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  22. def getRegularization: Double
    Definition Classes
    LIMEParams
  23. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  24. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  25. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  26. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  27. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  28. final val inputCols: StringArrayParam
    Definition Classes
    HasInputCols
  29. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  30. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  31. val kernelWidth: DoubleParam
    Definition Classes
    LIMEParams
  32. def logClass(): Unit
    Definition Classes
    BasicLogging
  33. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  34. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  35. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  36. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  37. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  38. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  39. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  40. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  41. final val model: TransformerParam
    Definition Classes
    HasModel
  42. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  43. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  44. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  45. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  46. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  47. val regularization: DoubleParam
    Definition Classes
    LIMEParams
  48. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  49. final def set[T](param: Param[T], value: T): TabularLIME.this.type
    Definition Classes
    Params
  50. final def setBackgroundData(value: DataFrame): TabularLIME.this.type
    Definition Classes
    HasBackgroundData
  51. def setCategoricalFeatures(values: Array[String]): TabularLIME.this.type
  52. def setInputCols(values: Array[String]): TabularLIME.this.type
  53. def setKernelWidth(v: Double): TabularLIME.this.type
    Definition Classes
    LIMEParams
  54. final def setMetricsCol(v: String): TabularLIME.this.type
    Definition Classes
    HasMetricsCol
  55. final def setModel(v: Transformer): TabularLIME.this.type
    Definition Classes
    HasModel
  56. final def setNumSamples(value: Int): TabularLIME.this.type
    Definition Classes
    HasNumSamples
  57. final def setOutputCol(value: String): TabularLIME.this.type
    Definition Classes
    LocalExplainer
  58. def setRegularization(v: Double): TabularLIME.this.type
    Definition Classes
    LIMEParams
  59. final def setTargetClasses(values: Array[Int]): TabularLIME.this.type
    Definition Classes
    HasExplainTarget
  60. final def setTargetClassesCol(value: String): TabularLIME.this.type
    Definition Classes
    HasExplainTarget
  61. final def setTargetCol(value: String): TabularLIME.this.type
    Definition Classes
    HasExplainTarget
  62. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  63. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  64. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  65. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  66. final def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    LIMEBase → Transformer
  67. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  68. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  69. def transformSchema(schema: StructType): StructType
    Definition Classes
    LIMEBase → LocalExplainer → PipelineStage
  70. val uid: String
    Definition Classes
    TabularLIME → LIMEBase → BasicLogging → Identifiable
  71. val ver: String
    Definition Classes
    BasicLogging
  72. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable