class VectorSHAP extends KernelSHAPBase with HasInputCol with HasBackgroundData

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