class TextSHAP extends KernelSHAPBase with TextSHAPParams with TextExplainer

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Inherited
  1. TextSHAP
  2. TextExplainer
  3. TextSHAPParams
  4. HasTokensCol
  5. HasInputCol
  6. KernelSHAPBase
  7. BasicLogging
  8. Wrappable
  9. RWrappable
  10. PythonWrappable
  11. BaseWrappable
  12. KernelSHAPParams
  13. HasMetricsCol
  14. HasNumSamples
  15. LocalExplainer
  16. ComplexParamsWritable
  17. MLWritable
  18. HasModel
  19. HasOutputCol
  20. HasExplainTarget
  21. CanValidateSchema
  22. Transformer
  23. PipelineStage
  24. Logging
  25. Params
  26. Serializable
  27. Serializable
  28. Identifiable
  29. AnyRef
  30. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

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