Class/Object

com.microsoft.ml.spark.lime

ImageLIME

Related Docs: object ImageLIME | package lime

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class ImageLIME extends Transformer with LIMEBase with Wrappable with HasModifier with HasCellSize

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

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

Linear Supertypes
HasCellSize, HasModifier, LIMEBase, ComplexParamsWritable, MLWritable, LIMEParams, HasPredictionCol, HasOutputCol, HasInputCol, Wrappable, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  2. By Inheritance
Inherited
  1. ImageLIME
  2. HasCellSize
  3. HasModifier
  4. LIMEBase
  5. ComplexParamsWritable
  6. MLWritable
  7. LIMEParams
  8. HasPredictionCol
  9. HasOutputCol
  10. HasInputCol
  11. Wrappable
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ImageLIME()

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  2. new ImageLIME(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. val cellSize: DoubleParam

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    Definition Classes
    HasCellSize

  12. final def clear(param: Param[_]): ImageLIME.this.type

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    Definition Classes
    Params

  13. def clone(): AnyRef

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

  14. def copy(extra: ParamMap): Transformer

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    Definition Classes
    ImageLIME → 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. def getCellSize: Double

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    Definition Classes
    HasCellSize

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

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    Definition Classes
    AnyRef → Any

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

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    Definition Classes
    Params

  29. def getInputCol: String

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    Definition Classes
    HasInputCol

  30. def getModel: Transformer

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    Definition Classes
    LIMEParams

  31. def getModifier: Double

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    Definition Classes
    HasModifier

  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. def getSuperpixelCol: String

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  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 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 modifier: DoubleParam

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    Definition Classes
    HasModifier

  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. 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[_]): ImageLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

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

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    Definition Classes
    Params

  79. def setCellSize(v: Double): ImageLIME.this.type

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    Definition Classes
    HasCellSize

  80. final def setDefault(paramPairs: ParamPair[_]*): ImageLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params

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

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    Attributes
    protected
    Definition Classes
    Params

  82. def setInputCol(value: String): ImageLIME.this.type

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    Definition Classes
    HasInputCol

  83. def setModel(v: Transformer): ImageLIME.this.type

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    Definition Classes
    LIMEParams

  84. def setModifier(v: Double): ImageLIME.this.type

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    Definition Classes
    HasModifier

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

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    Definition Classes
    LIMEParams

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

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    Definition Classes
    HasOutputCol

  87. def setPredictionCol(v: String): ImageLIME.this.type

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    Definition Classes
    LIMEParams

  88. def setRegularization(v: Double): ImageLIME.this.type

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    Definition Classes
    LIMEParams

  89. def setSamplingFraction(d: Double): ImageLIME.this.type

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    Definition Classes
    LIMEParams

  90. def setSuperpixelCol(v: String): ImageLIME.this.type

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  91. val superpixelCol: Param[String]

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  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
    ImageLIME → 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
    ImageLIME → 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
    ImageLIME → 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 HasCellSize

Inherited from HasModifier

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 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

Ungrouped