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

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