class VectorSHAP extends KernelSHAPBase with HasInputCol with HasBackgroundData

Linear Supertypes
HasBackgroundData, HasInputCol, KernelSHAPBase, BasicLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, KernelSHAPParams, HasMetricsCol, HasNumSamples, LocalExplainer, ComplexParamsWritable, MLWritable, HasModel, HasOutputCol, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. VectorSHAP
  2. HasBackgroundData
  3. HasInputCol
  4. KernelSHAPBase
  5. BasicLogging
  6. Wrappable
  7. RWrappable
  8. PythonWrappable
  9. BaseWrappable
  10. KernelSHAPParams
  11. HasMetricsCol
  12. HasNumSamples
  13. LocalExplainer
  14. ComplexParamsWritable
  15. MLWritable
  16. HasModel
  17. HasOutputCol
  18. HasExplainTarget
  19. CanValidateSchema
  20. Transformer
  21. PipelineStage
  22. Logging
  23. Params
  24. Serializable
  25. Serializable
  26. Identifiable
  27. AnyRef
  28. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

Value Members

  1. final val backgroundData: DataFrameParam
    Definition Classes
    HasBackgroundData
  2. final def clear(param: Param[_]): VectorSHAP.this.type
    Definition Classes
    Params
  3. def copy(extra: ParamMap): Transformer
    Definition Classes
    KernelSHAPBase → Transformer → PipelineStage → Params
  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 getBackgroundData: DataFrame
    Definition Classes
    HasBackgroundData
  10. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  11. def getInfWeight: Double
    Definition Classes
    KernelSHAPParams
  12. final def getInputCol: String
    Definition Classes
    HasInputCol
  13. final def getMetricsCol: String
    Definition Classes
    HasMetricsCol
  14. final def getModel: Transformer
    Definition Classes
    HasModel
  15. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  16. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  17. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  18. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  19. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  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. val infWeight: DoubleParam
    Definition Classes
    KernelSHAPParams
  26. final val inputCol: Param[String]
    Definition Classes
    HasInputCol
  27. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  28. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  29. def logClass(): Unit
    Definition Classes
    BasicLogging
  30. def logFit[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  31. def logPredict[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  32. def logTrain[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  33. def logTransform[T](f: ⇒ T): T
    Definition Classes
    BasicLogging
  34. def logVerb[T](verb: String, f: ⇒ T): T
    Definition Classes
    BasicLogging
  35. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  36. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  37. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  38. final val model: TransformerParam
    Definition Classes
    HasModel
  39. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  40. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  41. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  42. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  43. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  44. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  45. final def set[T](param: Param[T], value: T): VectorSHAP.this.type
    Definition Classes
    Params
  46. final def setBackgroundData(value: DataFrame): VectorSHAP.this.type
    Definition Classes
    HasBackgroundData
  47. def setInfWeight(value: Double): VectorSHAP.this.type
    Definition Classes
    KernelSHAPParams
  48. def setInputCol(value: String): VectorSHAP.this.type
  49. final def setMetricsCol(v: String): VectorSHAP.this.type
    Definition Classes
    HasMetricsCol
  50. final def setModel(v: Transformer): VectorSHAP.this.type
    Definition Classes
    HasModel
  51. final def setNumSamples(value: Int): VectorSHAP.this.type
    Definition Classes
    HasNumSamples
  52. final def setOutputCol(value: String): VectorSHAP.this.type
    Definition Classes
    LocalExplainer
  53. final def setTargetClasses(values: Array[Int]): VectorSHAP.this.type
    Definition Classes
    HasExplainTarget
  54. final def setTargetClassesCol(value: String): VectorSHAP.this.type
    Definition Classes
    HasExplainTarget
  55. final def setTargetCol(value: String): VectorSHAP.this.type
    Definition Classes
    HasExplainTarget
  56. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  57. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  58. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  59. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  60. def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    KernelSHAPBase → Transformer
  61. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  62. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  63. def transformSchema(schema: StructType): StructType
    Definition Classes
    KernelSHAPBase → LocalExplainer → PipelineStage
  64. val uid: String
    Definition Classes
    VectorSHAP → KernelSHAPBase → BasicLogging → Identifiable
  65. val ver: String
    Definition Classes
    BasicLogging
  66. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable