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

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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)

Abstract Value Members

  1. abstract def createSamples(df: DataFrame, idCol: String, coalitionCol: String, weightCol: String, targetClassesCol: String): DataFrame
    Attributes
    protected

Concrete Value Members

  1. final def !=(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int
    Definition Classes
    AnyRef → Any
  3. final def $[T](param: Param[T]): T
    Attributes
    protected
    Definition Classes
    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  7. final def clear(param: Param[_]): KernelSHAPBase.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  9. val coalitionField: String
    Attributes
    protected
  10. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  11. def copy(extra: ParamMap): Transformer
    Definition Classes
    KernelSHAPBase → Transformer → PipelineStage → Params
  12. def copyValues[T <: Params](to: T, extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  13. lazy val copyrightLines: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  14. final def defaultCopy[T <: Params](extra: ParamMap): T
    Attributes
    protected
    Definition Classes
    Params
  15. final def eq(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  16. def equals(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  17. def explainParam(param: Param[_]): String
    Definition Classes
    Params
  18. def explainParams(): String
    Definition Classes
    Params
  19. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  20. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  21. def finalize(): Unit
    Attributes
    protected[lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  22. final def get[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  23. final def getClass(): Class[_]
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  24. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  25. def getInfWeight: Double
    Definition Classes
    KernelSHAPParams
  26. final def getMetricsCol: String
    Definition Classes
    HasMetricsCol
  27. final def getModel: Transformer
    Definition Classes
    HasModel
  28. final def getNumSamples: Int
    Definition Classes
    HasNumSamples
  29. final def getNumSamplesOpt: Option[Int]
    Definition Classes
    HasNumSamples
  30. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  31. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  32. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  33. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  34. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  35. def getSampleSchema(sampleType: DataType): DataType
    Attributes
    protected
  36. final def getTargetClasses: Array[Int]
    Definition Classes
    HasExplainTarget
  37. final def getTargetClassesCol: String
    Definition Classes
    HasExplainTarget
  38. final def getTargetCol: String
    Definition Classes
    HasExplainTarget
  39. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
    Params
  40. def hasParam(paramName: String): Boolean
    Definition Classes
    Params
  41. def hashCode(): Int
    Definition Classes
    AnyRef → Any
    Annotations
    @native()
  42. val infWeight: DoubleParam
    Definition Classes
    KernelSHAPParams
  43. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  44. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
    Attributes
    protected
    Definition Classes
    Logging
  45. final def isDefined(param: Param[_]): Boolean
    Definition Classes
    Params
  46. final def isInstanceOf[T0]: Boolean
    Definition Classes
    Any
  47. final def isSet(param: Param[_]): Boolean
    Definition Classes
    Params
  48. def isTraceEnabled(): Boolean
    Attributes
    protected
    Definition Classes
    Logging
  49. def log: Logger
    Attributes
    protected
    Definition Classes
    Logging
  50. def logBase(info: Map[String, String], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  51. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  52. def logClass(featureName: String): Unit
    Definition Classes
    SynapseMLLogging
  53. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  54. def logDebug(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  55. def logError(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  56. def logError(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  57. def logErrorBase(methodName: String, e: Exception): Unit
    Attributes
    protected
    Definition Classes
    SynapseMLLogging
  58. def logFit[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  59. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  60. def logInfo(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  61. def logName: String
    Attributes
    protected
    Definition Classes
    Logging
  62. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  63. def logTrace(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  64. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  65. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
    Definition Classes
    SynapseMLLogging
  66. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
    Attributes
    protected
    Definition Classes
    Logging
  67. def logWarning(msg: ⇒ String): Unit
    Attributes
    protected
    Definition Classes
    Logging
  68. def makePyFile(conf: CodegenConfig): Unit
    Definition Classes
    PythonWrappable
  69. def makeRFile(conf: CodegenConfig): Unit
    Definition Classes
    RWrappable
  70. final val metricsCol: Param[String]
    Definition Classes
    HasMetricsCol
  71. final val model: TransformerParam
    Definition Classes
    HasModel
  72. final def ne(arg0: AnyRef): Boolean
    Definition Classes
    AnyRef
  73. final def notify(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  74. final def notifyAll(): Unit
    Definition Classes
    AnyRef
    Annotations
    @native()
  75. final val numSamples: IntParam
    Definition Classes
    HasNumSamples
  76. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  77. lazy val params: Array[Param[_]]
    Definition Classes
    Params
  78. def preprocess(df: DataFrame): DataFrame
    Attributes
    protected
    Definition Classes
    LocalExplainer
  79. def pyAdditionalMethods: String
    Definition Classes
    PythonWrappable
  80. lazy val pyClassDoc: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  81. lazy val pyClassName: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  82. def pyExtraEstimatorImports: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  83. def pyExtraEstimatorMethods: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  84. lazy val pyInheritedClasses: Seq[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  85. def pyInitFunc(): String
    Definition Classes
    PythonWrappable
  86. lazy val pyInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    PythonWrappable
  87. lazy val pyObjectBaseClass: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  88. def pyParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  89. def pyParamDefault[T](p: Param[T]): Option[String]
    Attributes
    protected
    Definition Classes
    PythonWrappable
  90. def pyParamGetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  91. def pyParamSetter(p: Param[_]): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  92. def pyParamsArgs: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  93. def pyParamsDefaults: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  94. lazy val pyParamsDefinitions: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  95. def pyParamsGetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  96. def pyParamsSetters: String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  97. def pythonClass(): String
    Attributes
    protected
    Definition Classes
    PythonWrappable
  98. def rClass(): String
    Attributes
    protected
    Definition Classes
    RWrappable
  99. def rDocString: String
    Attributes
    protected
    Definition Classes
    RWrappable
  100. def rExtraBodyLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  101. def rExtraInitLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  102. lazy val rFuncName: String
    Attributes
    protected
    Definition Classes
    RWrappable
  103. lazy val rInternalWrapper: Boolean
    Attributes
    protected
    Definition Classes
    RWrappable
  104. def rParamArg[T](p: Param[T]): String
    Attributes
    protected
    Definition Classes
    RWrappable
  105. def rParamsArgs: String
    Attributes
    protected
    Definition Classes
    RWrappable
  106. def rSetterLines: String
    Attributes
    protected
    Definition Classes
    RWrappable
  107. val sampleField: String
    Attributes
    protected
  108. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  109. final def set(paramPair: ParamPair[_]): KernelSHAPBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  110. final def set(param: String, value: Any): KernelSHAPBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  111. final def set[T](param: Param[T], value: T): KernelSHAPBase.this.type
    Definition Classes
    Params
  112. final def setDefault(paramPairs: ParamPair[_]*): KernelSHAPBase.this.type
    Attributes
    protected
    Definition Classes
    Params
  113. final def setDefault[T](param: Param[T], value: T): KernelSHAPBase.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  114. def setInfWeight(value: Double): KernelSHAPBase.this.type
    Definition Classes
    KernelSHAPParams
  115. final def setMetricsCol(v: String): KernelSHAPBase.this.type
    Definition Classes
    HasMetricsCol
  116. final def setModel(v: Transformer): KernelSHAPBase.this.type
    Definition Classes
    HasModel
  117. final def setNumSamples(value: Int): KernelSHAPBase.this.type
    Definition Classes
    HasNumSamples
  118. final def setOutputCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    LocalExplainer
  119. final def setTargetClasses(values: Array[Int]): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  120. final def setTargetClassesCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  121. final def setTargetCol(value: String): KernelSHAPBase.this.type
    Definition Classes
    HasExplainTarget
  122. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  123. final val targetClasses: IntArrayParam
    Definition Classes
    HasExplainTarget
  124. final val targetClassesCol: Param[String]
    Definition Classes
    HasExplainTarget
  125. final val targetCol: Param[String]
    Definition Classes
    HasExplainTarget
  126. val thisStage: Params
    Attributes
    protected
    Definition Classes
    BaseWrappable
  127. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  128. def transform(instances: Dataset[_]): DataFrame
    Definition Classes
    KernelSHAPBase → Transformer
  129. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  130. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  131. def transformSchema(schema: StructType): StructType
    Definition Classes
    KernelSHAPBaseLocalExplainer → PipelineStage
  132. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
    protected
    Definition Classes
    PipelineStage
    Annotations
    @DeveloperApi()
  133. val uid: String
    Definition Classes
    KernelSHAPBaseSynapseMLLogging → Identifiable
  134. def validateSchema(inputSchema: StructType): Unit
    Attributes
    protected
    Definition Classes
    HasMetricsColCanValidateSchema
  135. final def wait(): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  136. final def wait(arg0: Long, arg1: Int): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  137. final def wait(arg0: Long): Unit
    Definition Classes
    AnyRef
    Annotations
    @throws( ... ) @native()
  138. val weightField: String
    Attributes
    protected
  139. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Wrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from KernelSHAPParams

Inherited from HasMetricsCol

Inherited from HasNumSamples

Inherited from LocalExplainer

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from HasModel

Inherited from HasOutputCol

Inherited from HasExplainTarget

Inherited from CanValidateSchema

Inherited from Transformer

Inherited from PipelineStage

Inherited from Logging

Inherited from Params

Inherited from Serializable

Inherited from Serializable

Inherited from Identifiable

Inherited from AnyRef

Inherited from Any

Ungrouped