Package | Description |
---|---|
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.
|
Modifier and Type | Class and Description |
---|---|
static class |
AdaptiveLogisticRegression.Wrapper
Provides a shim between the EP optimization stuff and the CrossFoldLearner.
|
Modifier and Type | Class and Description |
---|---|
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.
|
Modifier and Type | Method and Description |
---|---|
Payload<T> |
Payload.copy() |
Modifier and Type | Method and Description |
---|---|
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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