class SparkUdfDerivation extends SparkUdfDerivationStrategy
This class executes custom derivation logic defined in an implementation of FeatureDerivationFunctionSpark.
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- SparkUdfDerivationStrategy
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- new SparkUdfDerivation()
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def
apply(keyTags: Seq[Int], keyTagList: Seq[String], df: DataFrame, derivedFeature: DerivedFeature, derivationFunction: FeatureDerivationFunctionSpark, mvelContext: Option[FeathrExpressionExecutionContext]): DataFrame
Calculate a user customized derived feature.
Calculate a user customized derived feature.
- keyTags
key tags of the current join stage
- keyTagList
all key tags of the current feature join job
- df
input context dataframe
- derivedFeature
derived feature to calculate
- derivationFunction
derivation function to be applied
- returns
context dataframe with the derived feature column appended
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- SparkUdfDerivation → DerivationStrategy
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