Packages

class DistributionBalanceMeasure extends Transformer with DataBalanceParams with ComplexParamsWritable with Wrappable with SynapseMLLogging

This transformer computes data balance measures based on a reference distribution. For now, we only support a uniform reference distribution.

The output is a dataframe that contains two columns:

  • The sensitive feature name.
  • A struct containing measure names and their values showing differences between the observed and reference distributions. The following measures are computed:
    • Kullback-Leibler Divergence - https://en.wikipedia.org/wiki/Kullback%E2%80%93Leibler_divergence
    • Jensen-Shannon Distance - https://en.wikipedia.org/wiki/Jensen%E2%80%93Shannon_divergence
    • Wasserstein Distance - https://en.wikipedia.org/wiki/Wasserstein_metric
    • Infinity Norm Distance - https://en.wikipedia.org/wiki/Chebyshev_distance
    • Total Variation Distance - https://en.wikipedia.org/wiki/Total_variation_distance_of_probability_measures
    • Chi-Squared Test - https://en.wikipedia.org/wiki/Chi-squared_test

The output dataframe contains a row per sensitive feature.

Annotations
@Experimental()
Linear Supertypes
SynapseMLLogging, Wrappable, DotnetWrappable, RWrappable, PythonWrappable, BaseWrappable, ComplexParamsWritable, MLWritable, DataBalanceParams, HasOutputCol, Transformer, PipelineStage, Logging, Params, Serializable, Serializable, Identifiable, AnyRef, Any
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Inherited
  1. DistributionBalanceMeasure
  2. SynapseMLLogging
  3. Wrappable
  4. DotnetWrappable
  5. RWrappable
  6. PythonWrappable
  7. BaseWrappable
  8. ComplexParamsWritable
  9. MLWritable
  10. DataBalanceParams
  11. HasOutputCol
  12. Transformer
  13. PipelineStage
  14. Logging
  15. Params
  16. Serializable
  17. Serializable
  18. Identifiable
  19. AnyRef
  20. Any
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Visibility
  1. Public
  2. All

Instance Constructors

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

    uid

    The unique ID.

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
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  4. final def ==(arg0: Any): Boolean
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  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[_]): DistributionBalanceMeasure.this.type
    Definition Classes
    Params
  8. def clone(): AnyRef
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    protected[lang]
    Definition Classes
    AnyRef
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    @throws( ... ) @native()
  9. def companionModelClassName: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  10. def copy(extra: ParamMap): Transformer
    Definition Classes
    DistributionBalanceMeasure → Transformer → PipelineStage → Params
  11. def copyValues[T <: Params](to: T, extra: ParamMap): T
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  12. lazy val copyrightLines: String
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    BaseWrappable
  13. final def defaultCopy[T <: Params](extra: ParamMap): T
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  14. def dotnetAdditionalMethods: String
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    DotnetWrappable
  15. def dotnetClass(): String
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  16. lazy val dotnetClassName: String
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  17. lazy val dotnetClassNameString: String
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  18. lazy val dotnetClassWrapperName: String
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  20. def dotnetExtraEstimatorImports: String
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  22. lazy val dotnetInternalWrapper: Boolean
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  23. def dotnetMLReadWriteMethods: String
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  24. lazy val dotnetNamespace: String
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  25. lazy val dotnetObjectBaseClass: String
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  26. def dotnetParamGetter(p: Param[_]): String
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  27. def dotnetParamGetters: String
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  28. def dotnetParamSetter(p: Param[_]): String
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  29. def dotnetParamSetters: String
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  30. def dotnetWrapAsTypeMethod: String
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  31. val emptyReferenceDistribution: Array[Map[String, Double]]
  32. final def eq(arg0: AnyRef): Boolean
    Definition Classes
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  33. def equals(arg0: Any): Boolean
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  34. def explainParam(param: Param[_]): String
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  35. def explainParams(): String
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  36. final def extractParamMap(): ParamMap
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  37. final def extractParamMap(extra: ParamMap): ParamMap
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  38. val featureNameCol: Param[String]
  39. def finalize(): Unit
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  40. final def get[T](param: Param[T]): Option[T]
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  41. final def getClass(): Class[_]
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  42. final def getDefault[T](param: Param[T]): Option[T]
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  43. def getFeatureNameCol: String
  44. final def getOrDefault[T](param: Param[T]): T
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  45. final def getOutputCol: String
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    HasOutputCol
  46. def getParam(paramName: String): Param[Any]
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  47. def getParamInfo(p: Param[_]): ParamInfo[_]
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  48. def getPayload(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], exception: Option[Exception]): Map[String, String]
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    SynapseMLLogging
  49. def getReferenceDistribution: Array[Map[String, Double]]
  50. def getSensitiveCols: Array[String]
    Definition Classes
    DataBalanceParams
  51. def getVerbose: Boolean
    Definition Classes
    DataBalanceParams
  52. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
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  53. def hasParam(paramName: String): Boolean
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  54. def hashCode(): Int
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  55. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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  56. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  57. final def isDefined(param: Param[_]): Boolean
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  58. final def isInstanceOf[T0]: Boolean
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  59. final def isSet(param: Param[_]): Boolean
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  60. def isTraceEnabled(): Boolean
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  61. def log: Logger
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  62. def logBase(info: Map[String, String], featureName: Option[String]): Unit
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  63. def logBase(methodName: String, numCols: Option[Int], executionSeconds: Option[Double], featureName: Option[String]): Unit
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  64. def logClass(featureName: String): Unit
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  65. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  67. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  69. def logErrorBase(methodName: String, e: Exception): Unit
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  70. def logFit[T](f: ⇒ T, columns: Int): T
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  71. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  73. def logName: String
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  74. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  76. def logTransform[T](f: ⇒ T, columns: Int): T
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  77. def logVerb[T](verb: String, f: ⇒ T, columns: Option[Int] = None): T
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  78. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  79. def logWarning(msg: ⇒ String): Unit
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  80. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
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  81. def makePyFile(conf: CodegenConfig): Unit
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  82. def makeRFile(conf: CodegenConfig): Unit
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  83. final def ne(arg0: AnyRef): Boolean
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  84. final def notify(): Unit
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  85. final def notifyAll(): Unit
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  86. final val outputCol: Param[String]
    Definition Classes
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  87. lazy val params: Array[Param[_]]
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  88. def pyAdditionalMethods: String
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  89. lazy val pyClassDoc: String
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  90. lazy val pyClassName: String
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  91. def pyExtraEstimatorImports: String
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  93. lazy val pyInheritedClasses: Seq[String]
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  94. def pyInitFunc(): String
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  95. lazy val pyInternalWrapper: Boolean
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  96. lazy val pyObjectBaseClass: String
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  97. def pyParamArg[T](p: Param[T]): String
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  98. def pyParamDefault[T](p: Param[T]): Option[String]
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  101. def pyParamsArgs: String
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  102. def pyParamsDefaults: String
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  103. lazy val pyParamsDefinitions: String
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  104. def pyParamsGetters: String
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  106. def pythonClass(): String
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  107. def rClass(): String
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  109. def rExtraBodyLines: String
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  110. def rExtraInitLines: String
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  111. lazy val rFuncName: String
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  113. def rParamArg[T](p: Param[T]): String
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  114. def rParamsArgs: String
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  115. def rSetterLines: String
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  116. val referenceDistribution: ArrayMapParam
  117. def save(path: String): Unit
    Definition Classes
    MLWritable
    Annotations
    @Since( "1.6.0" ) @throws( ... )
  118. val sensitiveCols: StringArrayParam
    Definition Classes
    DataBalanceParams
  119. final def set(paramPair: ParamPair[_]): DistributionBalanceMeasure.this.type
    Attributes
    protected
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    Params
  120. final def set(param: String, value: Any): DistributionBalanceMeasure.this.type
    Attributes
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  121. final def set[T](param: Param[T], value: T): DistributionBalanceMeasure.this.type
    Definition Classes
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  122. final def setDefault(paramPairs: ParamPair[_]*): DistributionBalanceMeasure.this.type
    Attributes
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  123. final def setDefault[T](param: Param[T], value: T): DistributionBalanceMeasure.this.type
    Attributes
    protected[org.apache.spark.ml]
    Definition Classes
    Params
  124. def setFeatureNameCol(value: String): DistributionBalanceMeasure.this.type
  125. def setOutputCol(value: String): DistributionBalanceMeasure.this.type
    Definition Classes
    DataBalanceParams
  126. def setReferenceDistribution(value: ArrayList[HashMap[String, Double]]): DistributionBalanceMeasure.this.type
  127. def setReferenceDistribution(value: Array[Map[String, Double]]): DistributionBalanceMeasure.this.type
  128. def setSensitiveCols(values: Array[String]): DistributionBalanceMeasure.this.type
    Definition Classes
    DataBalanceParams
  129. def setVerbose(value: Boolean): DistributionBalanceMeasure.this.type
    Definition Classes
    DataBalanceParams
  130. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  131. val thisStage: Params
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    BaseWrappable
  132. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  133. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    DistributionBalanceMeasure → Transformer
  134. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  135. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  136. def transformSchema(schema: StructType): StructType
    Definition Classes
    DistributionBalanceMeasure → PipelineStage
  137. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
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    @DeveloperApi()
  138. val uid: String
    Definition Classes
    DistributionBalanceMeasure → SynapseMLLogging → Identifiable
  139. def validateSchema(schema: StructType): Unit
    Definition Classes
    DistributionBalanceMeasure → DataBalanceParams
  140. val verbose: BooleanParam
    Definition Classes
    DataBalanceParams
  141. final def wait(): Unit
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    @throws( ... )
  142. final def wait(arg0: Long, arg1: Int): Unit
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  143. final def wait(arg0: Long): Unit
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  144. def write: MLWriter
    Definition Classes
    ComplexParamsWritable → MLWritable

Inherited from SynapseMLLogging

Inherited from Wrappable

Inherited from DotnetWrappable

Inherited from RWrappable

Inherited from PythonWrappable

Inherited from BaseWrappable

Inherited from ComplexParamsWritable

Inherited from MLWritable

Inherited from DataBalanceParams

Inherited from HasOutputCol

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