class VectorSHAP extends KernelSHAPBase with HasInputCol with HasBackgroundData

Linear Supertypes
HasBackgroundData, HasInputCol, KernelSHAPBase, SynapseMLLogging, Wrappable, RWrappable, PythonWrappable, BaseWrappable, KernelSHAPParams, HasMetricsCol, HasNumSamples, LocalExplainer, ComplexParamsWritable, MLWritable, HasModel, HasOutputCol, HasExplainTarget, CanValidateSchema, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. VectorSHAP
  2. HasBackgroundData
  3. HasInputCol
  4. KernelSHAPBase
  5. SynapseMLLogging
  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
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

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

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

Inherited from HasBackgroundData

Inherited from HasInputCol

Inherited from KernelSHAPBase

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