Class/Object

com.microsoft.ml.spark

TabularLIME

Related Docs: object TabularLIME | package spark

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

Linear Supertypes
ComplexParamsWritable, MLWritable, LIMEParams, HasPredictionCol, HasOutputCol, HasInputCol, Wrappable, Estimator[TabularLIMEModel], PipelineStage, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. TabularLIME
  2. ComplexParamsWritable
  3. MLWritable
  4. LIMEParams
  5. HasPredictionCol
  6. HasOutputCol
  7. HasInputCol
  8. Wrappable
  9. Estimator
  10. PipelineStage
  11. Logging
  12. Params
  13. Serializable
  14. Serializable
  15. Identifiable
  16. AnyRef
  17. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new TabularLIME()

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  2. new TabularLIME(uid: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def $[T](param: Param[T]): T

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    Attributes
    protected
    Definition Classes
    Params

  4. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  5. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  6. final def clear(param: Param[_]): TabularLIME.this.type

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    Definition Classes
    Params

  7. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  8. def copy(extra: ParamMap): TabularLIME

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    Definition Classes
    TabularLIME → Estimator → PipelineStage → Params

  9. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  10. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params

  11. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  12. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  13. def explainParam(param: Param[_]): String

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    Definition Classes
    Params

  14. def explainParams(): String

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    Definition Classes
    Params

  15. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

  16. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params

  17. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  18. def fit(dataset: Dataset[_]): TabularLIMEModel

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    Definition Classes
    TabularLIME → Estimator

  19. def fit(dataset: Dataset[_], paramMaps: Array[ParamMap]): Seq[TabularLIMEModel]

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  20. def fit(dataset: Dataset[_], paramMap: ParamMap): TabularLIMEModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" )

  21. def fit(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): TabularLIMEModel

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    Definition Classes
    Estimator
    Annotations
    @Since( "2.0.0" ) @varargs()

  22. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  23. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  24. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params

  25. def getInputCol: String

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    Definition Classes
    HasInputCol

  26. def getModel: Transformer

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    Definition Classes
    LIMEParams

  27. def getNSamples: Int

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    Definition Classes
    LIMEParams

  28. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params

  29. def getOutputCol: String

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    Definition Classes
    HasOutputCol

  30. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params

  31. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  32. def getRegularization: Double

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    Definition Classes
    LIMEParams

  33. def getSamplingFraction: Double

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    Definition Classes
    LIMEParams

  34. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params

  35. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  36. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  37. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  38. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  39. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

  40. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params

  41. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  42. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params

  43. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  44. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

  45. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  46. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  47. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  48. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  49. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  50. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  51. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

  52. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  53. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  54. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  55. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  56. val model: TransformerParam

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    Definition Classes
    LIMEParams

  57. val nSamples: IntParam

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    Definition Classes
    LIMEParams

  58. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  59. final def notify(): Unit

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    Definition Classes
    AnyRef

  60. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  61. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

  62. lazy val params: Array[Param[_]]

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    Definition Classes
    Params

  63. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  64. val regularization: DoubleParam

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    Definition Classes
    LIMEParams

  65. val samplingFraction: DoubleParam

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    Definition Classes
    LIMEParams

  66. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )

  67. final def set(paramPair: ParamPair[_]): TabularLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params

  68. final def set(param: String, value: Any): TabularLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params

  69. final def set[T](param: Param[T], value: T): TabularLIME.this.type

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    Definition Classes
    Params

  70. final def setDefault(paramPairs: ParamPair[_]*): TabularLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params

  71. final def setDefault[T](param: Param[T], value: T): TabularLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params

  72. def setInputCol(value: String): TabularLIME.this.type

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    Definition Classes
    HasInputCol

  73. def setModel(v: Transformer): TabularLIME.this.type

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    Definition Classes
    LIMEParams

  74. def setNSamples(v: Int): TabularLIME.this.type

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    Definition Classes
    LIMEParams

  75. def setOutputCol(value: String): TabularLIME.this.type

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    Definition Classes
    HasOutputCol

  76. def setPredictionCol(v: String): TabularLIME.this.type

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    Definition Classes
    LIMEParams

  77. def setRegularization(v: Double): TabularLIME.this.type

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    Definition Classes
    LIMEParams

  78. def setSamplingFraction(d: Double): TabularLIME.this.type

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    Definition Classes
    LIMEParams

  79. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  80. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  81. def transformSchema(schema: StructType): StructType

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    Definition Classes
    TabularLIME → PipelineStage

  82. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  83. val uid: String

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    Definition Classes
    TabularLIME → Identifiable

  84. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  85. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  86. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  87. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from LIMEParams

Inherited from HasPredictionCol

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Wrappable

Inherited from Estimator[TabularLIMEModel]

Inherited from PipelineStage

Inherited from org.apache.spark.internal.Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Parameters

A list of parameter keys this algorithm can take. Users can set and get the parameter values through setters and getters

Parameter setters

Parameter getters

Members