Packages

class FeatureBalanceMeasure extends Transformer with DataBalanceParams with HasLabelCol with ComplexParamsWritable with Wrappable with SynapseMLLogging

This transformer computes a set of balance measures from the given dataframe and sensitive features.

The output is a dataframe that contains four columns:

  • The sensitive feature name.
  • A feature value within the sensitive feature.
  • Another feature value within the sensitive feature.
  • A struct containing measure names and their values showing parities between the two feature values. The following measures are computed:
    • Demographic Parity - https://en.wikipedia.org/wiki/Fairness_(machine_learning)
    • Pointwise Mutual Information - https://en.wikipedia.org/wiki/Pointwise_mutual_information
    • Sorensen-Dice Coefficient - https://en.wikipedia.org/wiki/S%C3%B8rensen%E2%80%93Dice_coefficient
    • Jaccard Index - https://en.wikipedia.org/wiki/Jaccard_index
    • Kendall Rank Correlation - https://en.wikipedia.org/wiki/Kendall_rank_correlation_coefficient
    • Log-Likelihood Ratio - https://en.wikipedia.org/wiki/Likelihood_function#Likelihood_ratio
    • t-test - https://en.wikipedia.org/wiki/Student's_t-test

The output dataframe contains a row per combination of feature values for each sensitive feature.

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

Instance Constructors

  1. new FeatureBalanceMeasure()
  2. new FeatureBalanceMeasure(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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    Params
  4. final def ==(arg0: Any): Boolean
    Definition Classes
    AnyRef → Any
  5. final def asInstanceOf[T0]: T0
    Definition Classes
    Any
  6. val classACol: Param[String]
  7. val classBCol: Param[String]
  8. lazy val classNameHelper: String
    Attributes
    protected
    Definition Classes
    BaseWrappable
  9. final def clear(param: Param[_]): FeatureBalanceMeasure.this.type
    Definition Classes
    Params
  10. def clone(): AnyRef
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    protected[lang]
    Definition Classes
    AnyRef
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    @throws( ... ) @native()
  11. def companionModelClassName: String
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    Definition Classes
    BaseWrappable
  12. def copy(extra: ParamMap): Transformer
    Definition Classes
    FeatureBalanceMeasure → Transformer → PipelineStage → Params
  13. def copyValues[T <: Params](to: T, extra: ParamMap): T
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  14. lazy val copyrightLines: String
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    BaseWrappable
  15. final def defaultCopy[T <: Params](extra: ParamMap): T
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    Params
  16. def dotnetAdditionalMethods: String
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    DotnetWrappable
  17. def dotnetClass(): String
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    DotnetWrappable
  18. lazy val dotnetClassName: String
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  19. lazy val dotnetClassNameString: String
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  20. lazy val dotnetClassWrapperName: String
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  21. lazy val dotnetCopyrightLines: String
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  22. def dotnetExtraEstimatorImports: String
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  23. def dotnetExtraMethods: String
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  24. lazy val dotnetInternalWrapper: Boolean
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  25. def dotnetMLReadWriteMethods: String
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  26. lazy val dotnetNamespace: String
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  27. lazy val dotnetObjectBaseClass: String
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  28. def dotnetParamGetter(p: Param[_]): String
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  29. def dotnetParamGetters: String
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  30. def dotnetParamSetter(p: Param[_]): String
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  31. def dotnetParamSetters: String
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  32. def dotnetWrapAsTypeMethod: String
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  33. final def eq(arg0: AnyRef): Boolean
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  34. def equals(arg0: Any): Boolean
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  35. def explainParam(param: Param[_]): String
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    Params
  36. def explainParams(): String
    Definition Classes
    Params
  37. final def extractParamMap(): ParamMap
    Definition Classes
    Params
  38. final def extractParamMap(extra: ParamMap): ParamMap
    Definition Classes
    Params
  39. val featureNameCol: Param[String]
  40. def finalize(): Unit
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  41. final def get[T](param: Param[T]): Option[T]
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  42. final def getClass(): Class[_]
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    @native()
  43. def getClassACol: String
  44. def getClassBCol: String
  45. final def getDefault[T](param: Param[T]): Option[T]
    Definition Classes
    Params
  46. def getFeatureNameCol: String
  47. final def getLabelCol: String
    Definition Classes
    HasLabelCol
  48. final def getOrDefault[T](param: Param[T]): T
    Definition Classes
    Params
  49. final def getOutputCol: String
    Definition Classes
    HasOutputCol
  50. def getParam(paramName: String): Param[Any]
    Definition Classes
    Params
  51. def getParamInfo(p: Param[_]): ParamInfo[_]
    Definition Classes
    BaseWrappable
  52. def getSensitiveCols: Array[String]
    Definition Classes
    DataBalanceParams
  53. def getVerbose: Boolean
    Definition Classes
    DataBalanceParams
  54. final def hasDefault[T](param: Param[T]): Boolean
    Definition Classes
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  55. def hasParam(paramName: String): Boolean
    Definition Classes
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  56. def hashCode(): Int
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    @native()
  57. def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean
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    Logging
  58. def initializeLogIfNecessary(isInterpreter: Boolean): Unit
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  59. final def isDefined(param: Param[_]): Boolean
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  60. final def isInstanceOf[T0]: Boolean
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  61. final def isSet(param: Param[_]): Boolean
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  62. def isTraceEnabled(): Boolean
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  63. final val labelCol: Param[String]
    Definition Classes
    HasLabelCol
  64. def log: Logger
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  65. def logBase(info: SynapseMLLogInfo): Unit
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    SynapseMLLogging
  66. def logBase(methodName: String, columns: Option[Int]): Unit
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  67. def logClass(): Unit
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  68. def logDebug(msg: ⇒ String, throwable: Throwable): Unit
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  69. def logDebug(msg: ⇒ String): Unit
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  70. def logError(msg: ⇒ String, throwable: Throwable): Unit
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  71. def logError(msg: ⇒ String): Unit
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  72. def logErrorBase(methodName: String, e: Exception): Unit
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  73. def logFit[T](f: ⇒ T, columns: Int): T
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  74. def logInfo(msg: ⇒ String, throwable: Throwable): Unit
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  75. def logInfo(msg: ⇒ String): Unit
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  76. def logName: String
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  77. def logTrace(msg: ⇒ String, throwable: Throwable): Unit
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  78. def logTrace(msg: ⇒ String): Unit
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  79. def logTrain[T](f: ⇒ T, columns: Int): T
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    SynapseMLLogging
  80. def logTransform[T](f: ⇒ T, columns: Int): T
    Definition Classes
    SynapseMLLogging
  81. def logVerb[T](verb: String, f: ⇒ T, columns: Int = -1): T
    Definition Classes
    SynapseMLLogging
  82. def logWarning(msg: ⇒ String, throwable: Throwable): Unit
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  83. def logWarning(msg: ⇒ String): Unit
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  84. def makeDotnetFile(conf: CodegenConfig): Unit
    Definition Classes
    DotnetWrappable
  85. def makePyFile(conf: CodegenConfig): Unit
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  86. def makeRFile(conf: CodegenConfig): Unit
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  87. final def ne(arg0: AnyRef): Boolean
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  88. final def notify(): Unit
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    @native()
  89. final def notifyAll(): Unit
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    @native()
  90. final val outputCol: Param[String]
    Definition Classes
    HasOutputCol
  91. lazy val params: Array[Param[_]]
    Definition Classes
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  92. def pyAdditionalMethods: String
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  93. lazy val pyClassDoc: String
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  94. lazy val pyClassName: String
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  95. def pyExtraEstimatorImports: String
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  97. lazy val pyInheritedClasses: Seq[String]
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  98. def pyInitFunc(): String
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  99. lazy val pyInternalWrapper: Boolean
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  100. lazy val pyObjectBaseClass: String
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  101. def pyParamArg[T](p: Param[T]): String
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  102. def pyParamDefault[T](p: Param[T]): Option[String]
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  103. def pyParamGetter(p: Param[_]): String
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  104. def pyParamSetter(p: Param[_]): String
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  105. def pyParamsArgs: String
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  106. def pyParamsDefaults: String
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  107. lazy val pyParamsDefinitions: String
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  108. def pyParamsGetters: String
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  109. def pyParamsSetters: String
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  110. def pythonClass(): String
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  111. def rClass(): String
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  112. def rDocString: String
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  113. def rExtraBodyLines: String
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  114. def rExtraInitLines: String
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  115. lazy val rFuncName: String
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  116. lazy val rInternalWrapper: Boolean
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  117. def rParamArg[T](p: Param[T]): String
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  118. def rParamsArgs: String
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  119. def rSetterLines: String
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  120. def save(path: String): Unit
    Definition Classes
    MLWritable
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    @Since( "1.6.0" ) @throws( ... )
  121. val sensitiveCols: StringArrayParam
    Definition Classes
    DataBalanceParams
  122. final def set(paramPair: ParamPair[_]): FeatureBalanceMeasure.this.type
    Attributes
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    Params
  123. final def set(param: String, value: Any): FeatureBalanceMeasure.this.type
    Attributes
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  124. final def set[T](param: Param[T], value: T): FeatureBalanceMeasure.this.type
    Definition Classes
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  125. def setClassACol(value: String): FeatureBalanceMeasure.this.type
  126. def setClassBCol(value: String): FeatureBalanceMeasure.this.type
  127. final def setDefault(paramPairs: ParamPair[_]*): FeatureBalanceMeasure.this.type
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  128. final def setDefault[T](param: Param[T], value: T): FeatureBalanceMeasure.this.type
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  129. def setFeatureNameCol(value: String): FeatureBalanceMeasure.this.type
  130. def setLabelCol(value: String): FeatureBalanceMeasure.this.type
  131. def setOutputCol(value: String): FeatureBalanceMeasure.this.type
    Definition Classes
    DataBalanceParams
  132. def setSensitiveCols(values: Array[String]): FeatureBalanceMeasure.this.type
    Definition Classes
    DataBalanceParams
  133. def setVerbose(value: Boolean): FeatureBalanceMeasure.this.type
    Definition Classes
    DataBalanceParams
  134. final def synchronized[T0](arg0: ⇒ T0): T0
    Definition Classes
    AnyRef
  135. val thisStage: Params
    Attributes
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    BaseWrappable
  136. def toString(): String
    Definition Classes
    Identifiable → AnyRef → Any
  137. def transform(dataset: Dataset[_]): DataFrame
    Definition Classes
    FeatureBalanceMeasure → Transformer
  138. def transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" )
  139. def transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
    Definition Classes
    Transformer
    Annotations
    @Since( "2.0.0" ) @varargs()
  140. def transformSchema(schema: StructType): StructType
    Definition Classes
    FeatureBalanceMeasure → PipelineStage
  141. def transformSchema(schema: StructType, logging: Boolean): StructType
    Attributes
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    Definition Classes
    PipelineStage
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    @DeveloperApi()
  142. val uid: String
    Definition Classes
    FeatureBalanceMeasure → SynapseMLLogging → Identifiable
  143. def validateSchema(schema: StructType): Unit
    Definition Classes
    FeatureBalanceMeasure → DataBalanceParams
  144. val verbose: BooleanParam
    Definition Classes
    DataBalanceParams
  145. final def wait(): Unit
    Definition Classes
    AnyRef
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    @throws( ... )
  146. final def wait(arg0: Long, arg1: Int): Unit
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  147. final def wait(arg0: Long): Unit
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    @throws( ... ) @native()
  148. 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 HasLabelCol

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