abstract class KernelSHAPBase extends Transformer with LocalExplainer with KernelSHAPParams with Wrappable with SynapseMLLogging

Linear Supertypes
SynapseMLLogging, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, KernelSHAPParams, HasMetricsCol, HasNumSamples, LocalExplainer, ComplexParamsWritable, MLWritable, HasModel, HasOutputCol, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Known Subclasses
ImageSHAP, TabularSHAP, TextSHAP, VectorSHAP
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. KernelSHAPBase
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. KernelSHAPParams
  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
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Visibility
  1. Public
  2. All

Instance Constructors

  1. new KernelSHAPBase(uid: String)

Concrete Value Members

  1. final def clear(param: Param[_]): KernelSHAPBase.this.type
    Definition Classes
    Params
  2. def copy(extra: ParamMap): Transformer
    Definition Classes
    KernelSHAPBase → 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 getInfWeight: Double
    Definition Classes
    KernelSHAPParams
  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. 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. val infWeight: DoubleParam
    Definition Classes
    KernelSHAPParams
  25. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  26. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  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 makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  32. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  33. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  34. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  35. final val model: TransformerParam
    Definition Classes
    HasModel
  36. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  37. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  38. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  39. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  40. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  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): KernelSHAPBase.this.type
    Definition Classes
    Params
  43. def setInfWeight(value: Double): KernelSHAPBase.this.type
    Definition Classes
    KernelSHAPParams
  44. final def setMetricsCol(v: String): KernelSHAPBase.this.type
    Definition Classes
    HasMetricsCol
  45. final def setModel(v: Transformer): KernelSHAPBase.this.type
    Definition Classes
    HasModel
  46. final def setNumSamples(value: Int): KernelSHAPBase.this.type
    Definition Classes
    HasNumSamples
  47. final def setOutputCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    LocalExplainer
  48. final def setTargetClasses(values: Array[Int]): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  49. final def setTargetClassesCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  50. final def setTargetCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  51. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  52. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  53. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  54. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  55. def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    KernelSHAPBase → Transformer
  56. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  57. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  58. def transformSchema(schema: StructType): StructType
    Definition Classes
    KernelSHAPBase → LocalExplainer → PipelineStage
  59. val uid: String
    Definition Classes
    KernelSHAPBase → SynapseMLLogging → Identifiable
  60. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable