class ImageLIME extends LIMEBase with ImageLIMEParams with ImageExplainer

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  2. By Inheritance
Inherited
  1. ImageLIME
  2. ImageExplainer
  3. ImageLIMEParams
  4. HasSuperpixelCol
  5. HasInputCol
  6. HasModifier
  7. HasCellSize
  8. HasSamplingFraction
  9. LIMEBase
  10. SynapseMLLogging
  11. Wrappable
  12. DotnetWrappable
  13. RWrappable
  14. PythonWrappable
  15. BaseWrappable
  16. LIMEParams
  17. HasMetricsCol
  18. HasNumSamples
  19. LocalExplainer
  20. ComplexParamsWritable
  21. MLWritable
  22. HasModel
  23. HasOutputCol
  24. HasExplainTarget
  25. CanValidateSchema
  26. Transformer
  27. PipelineStage
  28. Logging
  29. Params
  30. Serializable
  31. Serializable
  32. Identifiable
  33. AnyRef
  34. Any
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new ImageLIME()
  2. new ImageLIME(uid: String)

Value Members

  1. val cellSize: DoubleParam
    Definition Classes
    HasCellSize
  2. final def clear(param: Param[_]): ImageLIME.this.type
    Definition Classes
    Params
  3. def copy(extra: ParamMap): Transformer
    Definition Classes
    LIMEBase → Transformer → PipelineStage → Params
  4. def dotnetAdditionalMethods: String
    Definition Classes
    DotnetWrappable
  5. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  6. def explainParams(): String
    Definition Classes
    Params
  7. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  8. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  9. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  10. def getCellSize: Double
    Definition Classes
    HasCellSize
  11. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  12. final def getInputCol: String
    Definition Classes
    HasInputCol
  13. def getKernelWidth: Double
    Definition Classes
    LIMEParams
  14. final def getMetricsCol: String
    Definition Classes
    HasMetricsCol
  15. final def getModel: Transformer
    Definition Classes
    HasModel
  16. def getModifier: Double
    Definition Classes
    HasModifier
  17. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  18. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  19. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  20. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  21. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  22. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  23. def getRegularization: Double
    Definition Classes
    LIMEParams
  24. final def getSamplingFraction: Double
    Definition Classes
    HasSamplingFraction
  25. final def getSuperpixelCol: String
    Definition Classes
    HasSuperpixelCol
  26. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  27. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  28. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  29. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  30. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  31. final val inputCol: Param[String]
    Definition Classes
    HasInputCol
  32. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  33. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  34. val kernelWidth: DoubleParam
    Definition Classes
    LIMEParams
  35. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  36. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  37. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  38. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  39. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  40. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  41. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  42. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  43. final val model: TransformerParam
    Definition Classes
    HasModel
  44. val modifier: DoubleParam
    Definition Classes
    HasModifier
  45. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  46. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  47. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  48. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  49. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  50. val regularization: DoubleParam
    Definition Classes
    LIMEParams
  51. final val samplingFraction: DoubleParam
    Definition Classes
    HasSamplingFraction
  52. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  53. final def set[T](param: Param[T], value: T): ImageLIME.this.type
    Definition Classes
    Params
  54. def setCellSize(v: Double): ImageLIME.this.type
    Definition Classes
    HasCellSize
  55. def setInputCol(value: String): ImageLIME.this.type
    Definition Classes
    ImageLIMEParams
  56. def setKernelWidth(v: Double): ImageLIME.this.type
    Definition Classes
    LIMEParams
  57. final def setMetricsCol(v: String): ImageLIME.this.type
    Definition Classes
    HasMetricsCol
  58. final def setModel(v: Transformer): ImageLIME.this.type
    Definition Classes
    HasModel
  59. def setModifier(v: Double): ImageLIME.this.type
    Definition Classes
    HasModifier
  60. final def setNumSamples(value: Int): ImageLIME.this.type
    Definition Classes
    HasNumSamples
  61. final def setOutputCol(value: String): ImageLIME.this.type
    Definition Classes
    LocalExplainer
  62. def setRegularization(v: Double): ImageLIME.this.type
    Definition Classes
    LIMEParams
  63. final def setSamplingFraction(d: Double): ImageLIME.this.type
    Definition Classes
    HasSamplingFraction
  64. final def setSuperpixelCol(v: String): ImageLIME.this.type
    Definition Classes
    HasSuperpixelCol
  65. final def setTargetClasses(values: Array[Int]): ImageLIME.this.type
    Definition Classes
    HasExplainTarget
  66. final def setTargetClassesCol(value: String): ImageLIME.this.type
    Definition Classes
    HasExplainTarget
  67. final def setTargetCol(value: String): ImageLIME.this.type
    Definition Classes
    HasExplainTarget
  68. final val superpixelCol: Param[String]
    Definition Classes
    HasSuperpixelCol
  69. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  70. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  71. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  72. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  73. final def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    LIMEBase → Transformer
  74. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  75. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  76. def transformSchema(schema: StructType): StructType
    Definition Classes
    ImageLIMELIMEBaseLocalExplainer → PipelineStage
  77. val uid: String
    Definition Classes
    ImageLIMELIMEBaseSynapseMLLogging → Identifiable
  78. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable