Class/Object

com.microsoft.ml.spark

TabularLIMEModel

Related Docs: object TabularLIMEModel | package spark

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class TabularLIMEModel extends Model[TabularLIMEModel] with LIMEBase with Wrappable

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

Instance Constructors

  1. new TabularLIMEModel()

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  2. new TabularLIMEModel(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. def arrToMat(dvs: Seq[DenseVector]): DenseMatrix

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    Attributes
    protected
    Definition Classes
    LIMEBase

  6. val arrToMatUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase

  7. def arrToVect(ds: Seq[Double]): DenseVector

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    Attributes
    protected
    Definition Classes
    LIMEBase

  8. val arrToVectUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase

  9. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  10. final def clear(param: Param[_]): TabularLIMEModel.this.type

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    Definition Classes
    Params

  11. def clone(): AnyRef

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

  12. val columnMeans: DoubleArrayParam

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  13. val columnSTDs: DoubleArrayParam

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  14. def copy(extra: ParamMap): TabularLIMEModel

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    Definition Classes
    TabularLIMEModel → Model → Transformer → PipelineStage → Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    AnyRef

  18. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  20. def explainParams(): String

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    Definition Classes
    Params

  21. final def extractParamMap(): ParamMap

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    Definition Classes
    Params

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

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    Definition Classes
    Params

  23. def finalize(): Unit

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

  24. val fitLassoUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase

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

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    Definition Classes
    Params

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

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    Definition Classes
    AnyRef → Any

  27. def getColumnMeans: Array[Double]

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  28. def getColumnSTDs: Array[Double]

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

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    Definition Classes
    Params

  30. def getInputCol: String

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    Definition Classes
    HasInputCol

  31. def getModel: Transformer

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    Definition Classes
    LIMEParams

  32. def getNSamples: Int

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    Definition Classes
    LIMEParams

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

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    Definition Classes
    Params

  34. def getOutputCol: String

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    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  36. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol

  37. def getRegularization: Double

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    Definition Classes
    LIMEParams

  38. val getSampleUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase

  39. def getSamples(n: Int): Seq[Seq[Boolean]]

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    Attributes
    protected
    Definition Classes
    LIMEBase

  40. def getSamplingFraction: Double

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    Definition Classes
    LIMEParams

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

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    Definition Classes
    Params

  42. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params

  43. def hasParent: Boolean

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    Definition Classes
    Model

  44. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

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

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    Attributes
    protected
    Definition Classes
    Logging

  46. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging

  47. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol

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

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    Definition Classes
    Params

  49. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

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

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    Definition Classes
    Params

  51. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging

  52. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  59. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

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

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    Attributes
    protected
    Definition Classes
    Logging

  64. val model: TransformerParam

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    Definition Classes
    LIMEParams

  65. val nSamples: IntParam

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    Definition Classes
    LIMEParams

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

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    Definition Classes
    AnyRef

  67. final def notify(): Unit

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    Definition Classes
    AnyRef

  68. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  69. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol

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

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    Definition Classes
    Params

  71. var parent: Estimator[TabularLIMEModel]

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    Definition Classes
    Model

  72. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol

  73. val regularization: DoubleParam

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    Definition Classes
    LIMEParams

  74. val samplingFraction: DoubleParam

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    Definition Classes
    LIMEParams

  75. def save(path: String): Unit

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

  76. final def set(paramPair: ParamPair[_]): TabularLIMEModel.this.type

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    Attributes
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    Params

  77. final def set(param: String, value: Any): TabularLIMEModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  79. def setColumnMeans(v: Array[Double]): TabularLIMEModel.this.type

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  80. def setColumnSTDs(v: Array[Double]): TabularLIMEModel.this.type

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  81. final def setDefault(paramPairs: ParamPair[_]*): TabularLIMEModel.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  83. def setInputCol(value: String): TabularLIMEModel.this.type

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    Definition Classes
    HasInputCol

  84. def setModel(v: Transformer): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams

  85. def setNSamples(v: Int): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams

  86. def setOutputCol(value: String): TabularLIMEModel.this.type

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    Definition Classes
    HasOutputCol

  87. def setParent(parent: Estimator[TabularLIMEModel]): TabularLIMEModel

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    Definition Classes
    Model

  88. def setPredictionCol(v: String): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams

  89. def setRegularization(v: Double): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams

  90. def setSamplingFraction(d: Double): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams

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

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    Definition Classes
    AnyRef

  92. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any

  93. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    TabularLIMEModel → Transformer

  94. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )

  95. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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

  96. def transformSchema(schema: StructType): StructType

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    Definition Classes
    TabularLIMEModel → PipelineStage

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

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()

  98. val uid: String

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    Definition Classes
    TabularLIMEModel → Identifiable

  99. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

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

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  102. def write: MLWriter

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    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from LIMEBase

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from LIMEParams

Inherited from HasPredictionCol

Inherited from HasOutputCol

Inherited from HasInputCol

Inherited from Wrappable

Inherited from Model[TabularLIMEModel]

Inherited from Transformer

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