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java.lang.Objectedu.udo.cs.yale.operator.Operator
edu.udo.cs.yale.operator.learner.AbstractLearner
edu.udo.cs.yale.operator.learner.kernel.evosvm.PSOSVM
public class PSOSVM
This is a SVM implementation using a particle swarm optimization (PSO) approach to solve the dual optimization problem of a SVM. It turns out that on many datasets this simple implementation is as fast and accurate as the usual SVM implementations.
| Constructor Summary | |
|---|---|
PSOSVM(OperatorDescription description)
Creates a new SVM which uses a particle swarm optimization approach for optimization. |
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| Method Summary | |
|---|---|
java.util.List<ParameterType> |
getParameterTypes()
Returns a list of ParameterTypes describing the parameters of this operator. |
Model |
learn(ExampleSet exampleSet)
Learns and returns a model. |
boolean |
supportsCapability(LearnerCapability lc)
Returns true for numerical attributes, binominal classes, and numerical target attributes. |
| Methods inherited from class edu.udo.cs.yale.operator.learner.AbstractLearner |
|---|
apply, checkLearnerCapabilities, getEstimatedPerformance, getInputClasses, getInputDescription, getOptimizationPerformance, getOutputClasses, getWeights, shouldCalculateWeights, shouldDeliverOptimizationPerformance, shouldEstimatePerformance |
| Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
| Methods inherited from interface edu.udo.cs.yale.operator.learner.Learner |
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getName |
| Constructor Detail |
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public PSOSVM(OperatorDescription description)
| Method Detail |
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public Model learn(ExampleSet exampleSet)
throws OperatorException
OperatorExceptionpublic boolean supportsCapability(LearnerCapability lc)
public java.util.List<ParameterType> getParameterTypes()
Operator
getParameterTypes in class Operator
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