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. SynapseMLLogging
  8. Wrappable
  9. DotnetWrappable
  10. RWrappable
  11. PythonWrappable
  12. BaseWrappable
  13. KernelSHAPParams
  14. HasMetricsCol
  15. HasNumSamples
  16. LocalExplainer
  17. ComplexParamsWritable
  18. MLWritable
  19. HasModel
  20. HasOutputCol
  21. HasExplainTarget
  22. CanValidateSchema
  23. Transformer
  24. PipelineStage
  25. Logging
  26. Params
  27. Serializable
  28. Serializable
  29. Identifiable
  30. AnyRef
  31. 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 dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  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 getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getInfWeight: Double
    Definition Classes
    KernelSHAPParams
  11. final def getInputCol: String
    Definition Classes
    HasInputCol
  12. final def getMetricsCol: String
    Definition Classes
    HasMetricsCol
  13. final def getModel: Transformer
    Definition Classes
    HasModel
  14. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  15. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  16. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  17. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  20. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  21. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  22. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  23. final def getTokensCol: String
    Definition Classes
    HasTokensCol
  24. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  25. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  26. val infWeight: DoubleParam
    Definition Classes
    KernelSHAPParams
  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. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  31. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  32. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  33. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  34. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  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. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  45. final def set[T](param: Param[T], value: T): TextSHAP.this.type
    Definition Classes
    Params
  46. def setInfWeight(value: Double): TextSHAP.this.type
    Definition Classes
    KernelSHAPParams
  47. def setInputCol(value: String): TextSHAP.this.type
    Definition Classes
    TextSHAPParams
  48. final def setMetricsCol(v: String): TextSHAP.this.type
    Definition Classes
    HasMetricsCol
  49. final def setModel(v: Transformer): TextSHAP.this.type
    Definition Classes
    HasModel
  50. final def setNumSamples(value: Int): TextSHAP.this.type
    Definition Classes
    HasNumSamples
  51. final def setOutputCol(value: String): TextSHAP.this.type
    Definition Classes
    LocalExplainer
  52. final def setTargetClasses(values: Array[Int]): TextSHAP.this.type
    Definition Classes
    HasExplainTarget
  53. final def setTargetClassesCol(value: String): TextSHAP.this.type
    Definition Classes
    HasExplainTarget
  54. final def setTargetCol(value: String): TextSHAP.this.type
    Definition Classes
    HasExplainTarget
  55. final def setTokensCol(v: String): TextSHAP.this.type
    Definition Classes
    HasTokensCol
  56. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  57. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  58. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  59. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  60. final val tokensCol: Param[String]
    Definition Classes
    HasTokensCol
  61. def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    KernelSHAPBase → Transformer
  62. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  63. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  64. def transformSchema(schema: StructType): StructType
    Definition Classes
    TextSHAPKernelSHAPBaseLocalExplainer → PipelineStage
  65. val uid: String
    Definition Classes
    TextSHAPKernelSHAPBaseSynapseMLLogging → Identifiable
  66. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable