Packages

class TabularLIME extends Estimator[TabularLIMEModel] with LIMEParams with Wrappable with ComplexParamsWritable with BasicLogging

Annotations
@deprecated
Deprecated

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

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

Instance Constructors

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

Value Members

  1. final def clear(param: Param[_]): TabularLIME.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): TabularLIME
    Definition Classes
    TabularLIME → Estimator → 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. def fit(dataset: Dataset[_]): TabularLIMEModel
    Definition Classes
    TabularLIME → Estimator
  8. def fit(dataset: Dataset[_], paramMaps: Seq[ParamMap]): Seq[TabularLIMEModel]
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  9. def fit(dataset: Dataset[_], paramMap: ParamMap): TabularLIMEModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )
  10. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TabularLIMEModel
    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()
  11. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  13. def getInputCol: String

    Definition Classes
    HasInputCol
  14. def getModel: Transformer
    Definition Classes
    LIMEParams
  15. def getNSamples: Int
    Definition Classes
    LIMEParams
  16. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  17. def getOutputCol: String

    Definition Classes
    HasOutputCol
  18. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  19. final def getPredictionCol: String
    Definition Classes
    HasPredictionCol
  20. def getRegularization: Double
    Definition Classes
    LIMEParams
  21. def getSamplingFraction: Double
    Definition Classes
    LIMEParams
  22. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  23. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  24. val inputCol: Param[String]

    The name of the input column

    The name of the input column

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

    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  38. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  39. final val predictionCol: Param[String]
    Definition Classes
    HasPredictionCol
  40. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  41. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  42. val regularization: DoubleParam
    Definition Classes
    LIMEParams
  43. val samplingFraction: DoubleParam
    Definition Classes
    LIMEParams
  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): TabularLIME.this.type
    Definition Classes
    Params
  46. def setInputCol(value: String): TabularLIME.this.type

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

    Definition Classes
    HasOutputCol
  50. def setPredictionCol(v: String): TabularLIME.this.type
    Definition Classes
    LIMEParams
  51. def setRegularization(v: Double): TabularLIME.this.type
    Definition Classes
    LIMEParams
  52. def setSamplingFraction(d: Double): TabularLIME.this.type
    Definition Classes
    LIMEParams
  53. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  54. def transformSchema(schema: StructType): StructType
    Definition Classes
    TabularLIME → PipelineStage
  55. val uid: String
    Definition Classes
    TabularLIME → BasicLogging → Identifiable
  56. val ver: String
    Definition Classes
    BasicLogging
  57. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable