## Uses of Interface
org.apache.mahout.ep.Payload

Packages that use Payload
org.apache.mahout.classifier.sgd: Implements a variety of on-line logistric regression classifiers using SGD-based algorithms.
org.apache.mahout.ep: Provides basic evolutionary optimization using recorded-step mutation.

Uses of Payload in org.apache.mahout.classifier.sgd

Classes in org.apache.mahout.classifier.sgd that implement Payload
`static class` `AdaptiveLogisticRegression.Wrapper` Provides a shim between the EP optimization stuff and the CrossFoldLearner.

Uses of Payload in org.apache.mahout.ep

Classes in org.apache.mahout.ep with type parameters of type Payload
`class` `EvolutionaryProcess<T extends Payload<U>,U>` Allows evolutionary optimization where the state function can't be easily packaged for the optimizer to execute.
`class` `State<T extends Payload<U>,U>` Records evolutionary state and provides a mutation operation for recorded-step meta-mutation.

Methods in org.apache.mahout.ep that return Payload
`Payload<T>` `Payload.copy()`

Method parameters in org.apache.mahout.ep with type arguments of type Payload
`State<T,U>` `EvolutionaryProcess.parallelDo(EvolutionaryProcess.Function<Payload<U>> fn)` Execute an operation on all of the members of the population with many threads.

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