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

Linear Supertypes
SynapseMLLogging, Wrappable, 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. RWrappable
  5. PythonWrappable
  6. BaseWrappable
  7. KernelSHAPParams
  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 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 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 getInfWeight: Double
    Definition Classes
    KernelSHAPParams
  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. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  19. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  20. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  21. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  22. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  23. val infWeight: DoubleParam
    Definition Classes
    KernelSHAPParams
  24. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  25. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  26. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  27. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  28. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  29. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  30. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  31. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  32. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  33. final val model: TransformerParam
    Definition Classes
    HasModel
  34. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  35. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  36. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  37. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  38. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  39. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  40. final def set[T](param: Param[T], value: T): KernelSHAPBase.this.type
    Definition Classes
    Params
  41. def setInfWeight(value: Double): KernelSHAPBase.this.type
    Definition Classes
    KernelSHAPParams
  42. final def setMetricsCol(v: String): KernelSHAPBase.this.type
    Definition Classes
    HasMetricsCol
  43. final def setModel(v: Transformer): KernelSHAPBase.this.type
    Definition Classes
    HasModel
  44. final def setNumSamples(value: Int): KernelSHAPBase.this.type
    Definition Classes
    HasNumSamples
  45. final def setOutputCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    LocalExplainer
  46. final def setTargetClasses(values: Array[Int]): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  47. final def setTargetClassesCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  48. final def setTargetCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  49. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  50. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  51. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  52. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  53. def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    KernelSHAPBase → Transformer
  54. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  55. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  56. def transformSchema(schema: StructType): StructType
    Definition Classes
    KernelSHAPBase → LocalExplainer → PipelineStage
  57. val uid: String
    Definition Classes
    KernelSHAPBase → SynapseMLLogging → Identifiable
  58. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable