class VectorLIME extends LIMEBase with HasInputCol with HasBackgroundData

Linear Supertypes
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. VectorLIME
  2. HasBackgroundData
  3. HasInputCol
  4. LIMEBase
  5. SynapseMLLogging
  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
  1. Hide All
  2. Show All
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 getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  21. def getRegularization: Double
    Definition Classes
    LIMEParams
  22. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  23. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  24. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  25. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  26. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  27. final val inputCol: Param[String]
    Definition Classes
    HasInputCol
  28. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  29. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  30. val kernelWidth: DoubleParam
    Definition Classes
    LIMEParams
  31. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  32. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  33. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  34. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  35. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  36. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  37. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  38. final val model: TransformerParam
    Definition Classes
    HasModel
  39. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  40. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  41. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  42. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  43. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  44. val regularization: DoubleParam
    Definition Classes
    LIMEParams
  45. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  46. final def set[T](param: Param[T], value: T): VectorLIME.this.type
    Definition Classes
    Params
  47. final def setBackgroundData(value: DataFrame): VectorLIME.this.type
    Definition Classes
    HasBackgroundData
  48. def setInputCol(value: String): VectorLIME.this.type
  49. def setKernelWidth(v: Double): VectorLIME.this.type
    Definition Classes
    LIMEParams
  50. final def setMetricsCol(v: String): VectorLIME.this.type
    Definition Classes
    HasMetricsCol
  51. final def setModel(v: Transformer): VectorLIME.this.type
    Definition Classes
    HasModel
  52. final def setNumSamples(value: Int): VectorLIME.this.type
    Definition Classes
    HasNumSamples
  53. final def setOutputCol(value: String): VectorLIME.this.type
    Definition Classes
    LocalExplainer
  54. def setRegularization(v: Double): VectorLIME.this.type
    Definition Classes
    LIMEParams
  55. final def setTargetClasses(values: Array[Int]): VectorLIME.this.type
    Definition Classes
    HasExplainTarget
  56. final def setTargetClassesCol(value: String): VectorLIME.this.type
    Definition Classes
    HasExplainTarget
  57. final def setTargetCol(value: String): VectorLIME.this.type
    Definition Classes
    HasExplainTarget
  58. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  59. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  60. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  61. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  62. final def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    LIMEBase → Transformer
  63. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  64. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  65. def transformSchema(schema: StructType): StructType
    Definition Classes
    LIMEBaseLocalExplainer → PipelineStage
  66. val uid: String
    Definition Classes
    VectorLIMELIMEBaseSynapseMLLogging → Identifiable
  67. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable