class TextSHAP extends KernelSHAPBase with TextSHAPParams with TextExplainer

Linear Supertypes
TextExplainer, TextSHAPParams, HasTokensCol, HasInputCol, KernelSHAPBase, SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, KernelSHAPParams, HasMetricsCol, HasNumSamples, LocalExplainer, ComplexParamsWritable, MLWritable, HasModel, HasOutputCol, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TextSHAP
  2. TextExplainer
  3. TextSHAPParams
  4. HasTokensCol
  5. HasInputCol
  6. KernelSHAPBase
  7. SynapseMLLogging
  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. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  19. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  20. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  21. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  22. final def getTokensCol: String
    Definition Classes
    HasTokensCol
  23. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  24. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  25. val infWeight: DoubleParam
    Definition Classes
    KernelSHAPParams
  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. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  30. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  31. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  32. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  33. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  34. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  35. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  36. final val model: TransformerParam
    Definition Classes
    HasModel
  37. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  38. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  39. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  40. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  41. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  42. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  43. final def set[T](param: Param[T], value: T): TextSHAP.this.type
    Definition Classes
    Params
  44. def setInfWeight(value: Double): TextSHAP.this.type
    Definition Classes
    KernelSHAPParams
  45. def setInputCol(value: String): TextSHAP.this.type
    Definition Classes
    TextSHAPParams
  46. final def setMetricsCol(v: String): TextSHAP.this.type
    Definition Classes
    HasMetricsCol
  47. final def setModel(v: Transformer): TextSHAP.this.type
    Definition Classes
    HasModel
  48. final def setNumSamples(value: Int): TextSHAP.this.type
    Definition Classes
    HasNumSamples
  49. final def setOutputCol(value: String): TextSHAP.this.type
    Definition Classes
    LocalExplainer
  50. final def setTargetClasses(values: Array[Int]): TextSHAP.this.type
    Definition Classes
    HasExplainTarget
  51. final def setTargetClassesCol(value: String): TextSHAP.this.type
    Definition Classes
    HasExplainTarget
  52. final def setTargetCol(value: String): TextSHAP.this.type
    Definition Classes
    HasExplainTarget
  53. final def setTokensCol(v: String): TextSHAP.this.type
    Definition Classes
    HasTokensCol
  54. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  55. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  56. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  57. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  58. final val tokensCol: Param[String]
    Definition Classes
    HasTokensCol
  59. def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    KernelSHAPBase → Transformer
  60. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  61. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  62. def transformSchema(schema: StructType): StructType
    Definition Classes
    TextSHAP → KernelSHAPBase → LocalExplainer → PipelineStage
  63. val uid: String
    Definition Classes
    TextSHAP → KernelSHAPBase → SynapseMLLogging → Identifiable
  64. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable