Class/Object

com.microsoft.ml.spark

ImageLIME

Related Docs: object ImageLIME | package spark

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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, org.apache.spark.internal.Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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  3. 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 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. val cellSize: DoubleParam

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    Definition Classes
    HasCellSize
  11. final def clear(param: Param[_]): ImageLIME.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. def copy(extra: ParamMap): Transformer

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

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

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

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

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

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    Definition Classes
    Params
  19. def explainParams(): String

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

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

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    Definition Classes
    Params
  22. def finalize(): Unit

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

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

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    Definition Classes
    Params
  25. def getCellSize: Double

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

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    Definition Classes
    AnyRef → Any
  27. final def getDefault[T](param: Param[T]): Option[T]

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    Definition Classes
    Params
  28. def getInputCol: String

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    Definition Classes
    HasInputCol
  29. def getModel: Transformer

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    Definition Classes
    LIMEParams
  30. def getModifier: Double

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    Definition Classes
    HasModifier
  31. def getNSamples: Int

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

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    Definition Classes
    Params
  33. def getOutputCol: String

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

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    Definition Classes
    Params
  35. final def getPredictionCol: String

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    Definition Classes
    HasPredictionCol
  36. def getRegularization: Double

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    Definition Classes
    LIMEParams
  37. val getSampleUDF: UserDefinedFunction

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

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    Attributes
    protected
    Definition Classes
    LIMEBase
  39. def getSamplingFraction: Double

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    Definition Classes
    LIMEParams
  40. def getSuperpixelCol: String

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  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 hashCode(): Int

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

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

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

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    The name of the input column

    The name of the input column

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

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

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

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    Definition Classes
    Params
  50. def isTraceEnabled(): Boolean

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    Attributes
    protected
    Definition Classes
    Logging
  51. def log: Logger

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

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

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

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

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

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    Attributes
    protected
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    Logging
  57. def logInfo(msg: ⇒ String): Unit

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    Attributes
    protected
    Definition Classes
    Logging
  58. def logName: String

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

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

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

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

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    Attributes
    protected
    Definition Classes
    Logging
  63. val model: TransformerParam

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    Definition Classes
    LIMEParams
  64. val modifier: DoubleParam

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    Definition Classes
    HasModifier
  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. final val predictionCol: Param[String]

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    Definition Classes
    HasPredictionCol
  72. val regularization: DoubleParam

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    Definition Classes
    LIMEParams
  73. val samplingFraction: DoubleParam

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

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

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    Attributes
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    Params
  76. final def set(param: String, value: Any): ImageLIME.this.type

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    Attributes
    protected
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    Params
  77. final def set[T](param: Param[T], value: T): ImageLIME.this.type

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    Definition Classes
    Params
  78. def setCellSize(v: Double): ImageLIME.this.type

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    Definition Classes
    HasCellSize
  79. final def setDefault(paramPairs: ParamPair[_]*): ImageLIME.this.type

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    Attributes
    protected
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    Params
  80. final def setDefault[T](param: Param[T], value: T): ImageLIME.this.type

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    Attributes
    protected
    Definition Classes
    Params
  81. def setInputCol(value: String): ImageLIME.this.type

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    Definition Classes
    HasInputCol
  82. def setModel(v: Transformer): ImageLIME.this.type

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    Definition Classes
    LIMEParams
  83. def setModifier(v: Double): ImageLIME.this.type

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    Definition Classes
    HasModifier
  84. def setNSamples(v: Int): ImageLIME.this.type

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    Definition Classes
    LIMEParams
  85. def setOutputCol(value: String): ImageLIME.this.type

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    Definition Classes
    HasOutputCol
  86. def setPredictionCol(v: String): ImageLIME.this.type

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    Definition Classes
    LIMEParams
  87. def setRegularization(v: Double): ImageLIME.this.type

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    Definition Classes
    LIMEParams
  88. def setSamplingFraction(d: Double): ImageLIME.this.type

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    Definition Classes
    LIMEParams
  89. def setSuperpixelCol(v: String): ImageLIME.this.type

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  90. val superpixelCol: Param[String]

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  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
    ImageLIME → 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
    ImageLIME → 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
    ImageLIME → 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 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 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