c
com.microsoft.azure.synapse.ml.exploratory
AggregateBalanceMeasure
Companion object AggregateBalanceMeasure
class AggregateBalanceMeasure extends Transformer with DataBalanceParams with ComplexParamsWritable with Wrappable with BasicLogging
This transformer computes a set of aggregated balance measures that represents how balanced the given dataframe is along the given sensitive features.
The output is a dataframe that contains one column:
- A struct containing measure names and their values showing higher notions of inequality.
The following measures are computed:
- Atkinson Index - https://en.wikipedia.org/wiki/Atkinson_index
- Theil Index (L and T) - https://en.wikipedia.org/wiki/Theil_index
The output dataframe contains one row.
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clear(param: Param[_]): AggregateBalanceMeasure.this.type
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copy(extra: ParamMap): Transformer
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copyValues[T <: Params](to: T, extra: ParamMap): T
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getSensitiveCols: Array[String]
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getVerbose: Boolean
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val
sensitiveCols: StringArrayParam
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- DataBalanceParams
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final
def
set(paramPair: ParamPair[_]): AggregateBalanceMeasure.this.type
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final
def
set(param: String, value: Any): AggregateBalanceMeasure.this.type
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final
def
set[T](param: Param[T], value: T): AggregateBalanceMeasure.this.type
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final
def
setDefault(paramPairs: ParamPair[_]*): AggregateBalanceMeasure.this.type
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final
def
setDefault[T](param: Param[T], value: T): AggregateBalanceMeasure.this.type
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- def setEpsilon(value: Double): AggregateBalanceMeasure.this.type
- def setErrorTolerance(value: Double): AggregateBalanceMeasure.this.type
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def
setOutputCol(value: String): AggregateBalanceMeasure.this.type
- Definition Classes
- DataBalanceParams
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def
setSensitiveCols(values: Array[String]): AggregateBalanceMeasure.this.type
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- DataBalanceParams
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def
setVerbose(value: Boolean): AggregateBalanceMeasure.this.type
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
transform(dataset: Dataset[_]): DataFrame
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- AggregateBalanceMeasure → Transformer
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def
transform(dataset: Dataset[_], paramMap: ParamMap): DataFrame
- Definition Classes
- Transformer
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- @Since( "2.0.0" )
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def
transform(dataset: Dataset[_], firstParamPair: ParamPair[_], otherParamPairs: ParamPair[_]*): DataFrame
- Definition Classes
- Transformer
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- @Since( "2.0.0" ) @varargs()
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def
transformSchema(schema: StructType): StructType
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- AggregateBalanceMeasure → PipelineStage
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def
transformSchema(schema: StructType, logging: Boolean): StructType
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val
uid: String
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- AggregateBalanceMeasure → BasicLogging → Identifiable
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def
validateSchema(schema: StructType): Unit
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- DataBalanceParams
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val
ver: String
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val
verbose: BooleanParam
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wait(): Unit
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wait(arg0: Long): Unit
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def
write: MLWriter
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