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
Ordering
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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
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    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