abstract class LIMEBase extends Transformer with LocalExplainer with LIMEParams with Wrappable with SynapseMLLogging

Linear Supertypes
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. LIMEBase
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. LIMEParams
  9. HasMetricsCol
  10. HasNumSamples
  11. LocalExplainer
  12. ComplexParamsWritable
  13. MLWritable
  14. HasModel
  15. HasOutputCol
  16. HasExplainTarget
  17. CanValidateSchema
  18. Transformer
  19. PipelineStage
  20. Logging
  21. Params
  22. Serializable
  23. Serializable
  24. Identifiable
  25. AnyRef
  26. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new LIMEBase(uid: String)

Concrete Value Members

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