Class/Object

com.microsoft.ml.spark.lime

TabularLIMEModel

Related Docs: object TabularLIMEModel | package lime

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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, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
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 additionalPythonMethods(): String

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    Definition Classes
    Wrappable
  6. def arrToMat(dvs: Seq[DenseVector]): DenseMatrix

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    Attributes
    protected
    Definition Classes
    LIMEBase
  7. val arrToMatUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase
  8. def arrToVect(ds: Seq[Double]): DenseVector

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    Attributes
    protected
    Definition Classes
    LIMEBase
  9. val arrToVectUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase
  10. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any
  11. final def clear(param: Param[_]): TabularLIMEModel.this.type

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    Definition Classes
    Params
  12. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  13. val columnMeans: DoubleArrayParam

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  14. val columnSTDs: DoubleArrayParam

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  15. def copy(extra: ParamMap): TabularLIMEModel

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    Definition Classes
    TabularLIMEModel → Model → Transformer → PipelineStage → Params
  16. def copyValues[T <: Params](to: T, extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  17. final def defaultCopy[T <: Params](extra: ParamMap): T

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    Attributes
    protected
    Definition Classes
    Params
  18. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  19. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any
  20. def explainParam(param: Param[_]): String

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    Definition Classes
    Params
  21. def explainParams(): String

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    Definition Classes
    Params
  22. final def extractParamMap(): ParamMap

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    Definition Classes
    Params
  23. final def extractParamMap(extra: ParamMap): ParamMap

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    Definition Classes
    Params
  24. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  25. val fitLassoUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase
  26. final def get[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  27. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any
  28. def getColumnMeans: Array[Double]

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  29. def getColumnSTDs: Array[Double]

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

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    Definition Classes
    Params
  31. def getInputCol: String

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    Definition Classes
    HasInputCol
  32. def getModel: Transformer

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    Definition Classes
    LIMEParams
  33. def getNSamples: Int

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    Definition Classes
    LIMEParams
  34. final def getOrDefault[T](param: Param[T]): T

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    Definition Classes
    Params
  35. def getOutputCol: String

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    Definition Classes
    HasOutputCol
  36. def getParam(paramName: String): Param[Any]

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    Definition Classes
    Params
  37. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol
  38. def getRegularization: Double

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    Definition Classes
    LIMEParams
  39. val getSampleUDF: UserDefinedFunction

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    Attributes
    protected
    Definition Classes
    LIMEBase
  40. def getSamples(n: Int): Seq[Seq[Boolean]]

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    Attributes
    protected
    Definition Classes
    LIMEBase
  41. def getSamplingFraction: Double

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    Definition Classes
    LIMEParams
  42. final def hasDefault[T](param: Param[T]): Boolean

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    Definition Classes
    Params
  43. def hasParam(paramName: String): Boolean

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    Definition Classes
    Params
  44. def hasParent: Boolean

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    Definition Classes
    Model
  45. def hashCode(): Int

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    Definition Classes
    AnyRef → Any
  46. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  47. def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  48. val inputCol: Param[String]

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    The name of the input column

    The name of the input column

    Definition Classes
    HasInputCol
  49. final def isDefined(param: Param[_]): Boolean

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    Definition Classes
    Params
  50. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any
  51. final def isSet(param: Param[_]): Boolean

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    Definition Classes
    Params
  52. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  53. def log: Logger

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    Attributes
    protected
    Definition Classes
    Logging
  54. def logDebug(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  55. def logDebug(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  56. def logError(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  57. def logError(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  58. def logInfo(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  59. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  60. def logName: String

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    Attributes
    protected
    Definition Classes
    Logging
  61. def logTrace(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  62. def logTrace(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  63. def logWarning(msg: ⇒ String, throwable: Throwable): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  64. def logWarning(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  65. val model: TransformerParam

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    Definition Classes
    LIMEParams
  66. val nSamples: IntParam

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    Definition Classes
    LIMEParams
  67. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef
  68. final def notify(): Unit

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    Definition Classes
    AnyRef
  69. final def notifyAll(): Unit

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    Definition Classes
    AnyRef
  70. val outputCol: Param[String]

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    The name of the output column

    The name of the output column

    Definition Classes
    HasOutputCol
  71. lazy val params: Array[Param[_]]

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    Definition Classes
    Params
  72. var parent: Estimator[TabularLIMEModel]

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    Definition Classes
    Model
  73. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol
  74. val regularization: DoubleParam

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    Definition Classes
    LIMEParams
  75. val samplingFraction: DoubleParam

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    Definition Classes
    LIMEParams
  76. def save(path: String): Unit

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    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  77. final def set(paramPair: ParamPair[_]): TabularLIMEModel.this.type

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    Attributes
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    Definition Classes
    Params
  78. final def set(param: String, value: Any): TabularLIMEModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  79. final def set[T](param: Param[T], value: T): TabularLIMEModel.this.type

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    Definition Classes
    Params
  80. def setColumnMeans(v: Array[Double]): TabularLIMEModel.this.type

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

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

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    Attributes
    protected
    Definition Classes
    Params
  83. final def setDefault[T](param: Param[T], value: T): TabularLIMEModel.this.type

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    Attributes
    protected
    Definition Classes
    Params
  84. def setInputCol(value: String): TabularLIMEModel.this.type

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    Definition Classes
    HasInputCol
  85. def setModel(v: Transformer): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams
  86. def setNSamples(v: Int): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams
  87. def setOutputCol(value: String): TabularLIMEModel.this.type

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    Definition Classes
    HasOutputCol
  88. def setParent(parent: Estimator[TabularLIMEModel]): TabularLIMEModel

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    Definition Classes
    Model
  89. def setPredictionCol(v: String): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams
  90. def setRegularization(v: Double): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams
  91. def setSamplingFraction(d: Double): TabularLIMEModel.this.type

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    Definition Classes
    LIMEParams
  92. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef
  93. def toString(): String

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    Definition Classes
    Identifiable → AnyRef → Any
  94. def transform(dataset: Dataset[_]): DataFrame

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    Definition Classes
    TabularLIMEModel → Transformer
  95. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  96. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame

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    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  97. def transformSchema(schema: StructType): StructType

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    Definition Classes
    TabularLIMEModel → PipelineStage
  98. def transformSchema(schema: StructType, logging: Boolean): StructType

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    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  99. val uid: String

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    Definition Classes
    TabularLIMEModel → Identifiable
  100. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  101. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  102. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  103. 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 Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

getParam

param

setParam

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