Uses of Class
org.apache.mahout.ep.State

Packages that use State
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 State in org.apache.mahout.classifier.sgd
 

Methods in org.apache.mahout.classifier.sgd that return State
 State<AdaptiveLogisticRegression.Wrapper> AdaptiveLogisticRegression.getBest()
           
 State<AdaptiveLogisticRegression.Wrapper> AdaptiveLogisticRegression.getSeed()
           
 

Methods in org.apache.mahout.classifier.sgd with parameters of type State
 void AdaptiveLogisticRegression.Wrapper.freeze(State<AdaptiveLogisticRegression.Wrapper> s)
           
 void AdaptiveLogisticRegression.setBest(State<AdaptiveLogisticRegression.Wrapper> best)
           
 void AdaptiveLogisticRegression.Wrapper.setMappings(State<AdaptiveLogisticRegression.Wrapper> x)
           
 void AdaptiveLogisticRegression.setSeed(State<AdaptiveLogisticRegression.Wrapper> seed)
           
 

Uses of State in org.apache.mahout.ep
 

Methods in org.apache.mahout.ep that return State
 State<?> ThreadedEvolutionaryProcess.EvalTask.call()
          Computes a result, or throws an exception if unable to do so.
 State<T> State.copy()
          Deep copies a state, useful in mutation.
 State<T> State.mutate()
          Clones this state with a random change in position.
 State<?> ThreadedEvolutionaryProcess.optimize(ThreadedEvolutionaryProcess.Function f, int dim, long timeLimit, int parentDepth)
           
 State<T> EvolutionaryProcess.parallelDo(EvolutionaryProcess.Function<T> fn)
          Execute an operation on all of the members of the population with many threads.
 

Methods in org.apache.mahout.ep that return types with arguments of type State
 java.util.List<State<T>> EvolutionaryProcess.getPopulation()
           
 

Methods in org.apache.mahout.ep with parameters of type State
 void EvolutionaryProcess.add(State<T> value)
           
 int State.compareTo(State<T> other)
          Natural order is to sort in descending order of score.
 

Constructors in org.apache.mahout.ep with parameters of type State
EvolutionaryProcess(int threadCount, int populationSize, State<T> seed)
          Creates an evolutionary optimization framework with specified threadiness, population size and initial state.
ThreadedEvolutionaryProcess.EvalTask(ThreadedEvolutionaryProcess.Function f, State<?> what)
           
 



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