class VectorLIME extends LIMEBase with HasInputCol with HasBackgroundData

Linear Supertypes
HasBackgroundData, HasInputCol, 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. VectorLIME
  2. HasBackgroundData
  3. HasInputCol
  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 VectorLIME()
  2. new VectorLIME(uid: String)

Value Members

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