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| Packages that use Payload | |
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| 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 |
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| Classes in org.apache.mahout.classifier.sgd that implement Payload | |
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static class |
AdaptiveLogisticRegression.Wrapper
Provides a shim between the EP optimization stuff and the CrossFoldLearner. |
| Uses of Payload in org.apache.mahout.ep |
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| Classes in org.apache.mahout.ep with type parameters of type Payload | |
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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 | |
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Payload<T> |
Payload.copy()
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| Method parameters in org.apache.mahout.ep with type arguments of type Payload | |
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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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