Packages

class TextLIME extends Model[TextLIME] with LIMEBase with Wrappable with BasicLogging

Distributed implementation of Local Interpretable Model-Agnostic Explanations (LIME)

https://arxiv.org/pdf/1602.04938v1.pdf

Annotations
@deprecated
Deprecated

(Since version 1.0.0-rc3) Please use 'com.microsoft.azure.synapse.ml.explainers.TextLIME'.

Linear Supertypes
BasicLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, LIMEBase, ComplexParamsWritable, MLWritable, LIMEParams, HasPredictionCol, HasOutputCol, HasInputCol, Model[TextLIME], Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TextLIME
  2. BasicLogging
  3. Wrappable
  4. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. LIMEBase
  8. ComplexParamsWritable
  9. MLWritable
  10. LIMEParams
  11. HasPredictionCol
  12. HasOutputCol
  13. HasInputCol
  14. Model
  15. Transformer
  16. PipelineStage
  17. Logging
  18. Params
  19. Serializable
  20. Serializable
  21. Identifiable
  22. AnyRef
  23. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): TextLIME.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): TextLIME
    Definition Classes
    TextLIME → Model → 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 getInputCol: String

    Definition Classes
    HasInputCol
  10. def getModel: Transformer
    Definition Classes
    LIMEParams
  11. def getNSamples: Int
    Definition Classes
    LIMEParams
  12. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  13. def getOutputCol: String

    Definition Classes
    HasOutputCol
  14. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  15. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  16. def getRegularization: Double
    Definition Classes
    LIMEParams
  17. def getSamplingFraction: Double
    Definition Classes
    LIMEParams
  18. def getTokenCol: String
  19. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  20. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  21. def hasParent: Boolean
    Definition Classes
    Model
  22. val inputCol: Param[String]

    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  23. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  24. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  25. def logClass(): Unit
    Definition Classes
    BasicLogging
  26. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  27. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  28. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  29. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  30. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  31. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  32. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  33. val model: TransformerParam
    Definition Classes
    LIMEParams
  34. val nSamples: IntParam
    Definition Classes
    LIMEParams
  35. val outputCol: Param[String]

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  36. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  37. var parent: Estimator[TextLIME]
    Definition Classes
    Model
  38. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  39. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  40. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  41. val regularization: DoubleParam
    Definition Classes
    LIMEParams
  42. val samplingFraction: DoubleParam
    Definition Classes
    LIMEParams
  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): TextLIME.this.type
    Definition Classes
    Params
  45. def setInputCol(value: String): TextLIME.this.type

    Definition Classes
    HasInputCol
  46. def setModel(v: Transformer): TextLIME.this.type
    Definition Classes
    LIMEParams
  47. def setNSamples(v: Int): TextLIME.this.type
    Definition Classes
    LIMEParams
  48. def setOutputCol(value: String): TextLIME.this.type

    Definition Classes
    HasOutputCol
  49. def setParent(parent: Estimator[TextLIME]): TextLIME
    Definition Classes
    Model
  50. def setPredictionCol(v: String): TextLIME.this.type
    Definition Classes
    LIMEParams
  51. def setRegularization(v: Double): TextLIME.this.type
    Definition Classes
    LIMEParams
  52. def setSamplingFraction(d: Double): TextLIME.this.type
    Definition Classes
    LIMEParams
  53. def setTokenCol(v: String): TextLIME.this.type
  54. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  55. val tokenCol: Param[String]
  56. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    TextLIME → Transformer
  57. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  58. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  59. def transformSchema(schema: StructType): StructType
    Definition Classes
    TextLIME → PipelineStage
  60. val uid: String
    Definition Classes
    TextLIME → BasicLogging → Identifiable
  61. val ver: String
    Definition Classes
    BasicLogging
  62. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable