BooleanCategory |
A category for one-class classifiers.
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ClassificationTester<S extends Observation,T extends Category> |
Classes implementing this interface provide the means to test a training mechanism
for performance.
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CrossValidator<S extends Observation,T extends Category> |
Performs cross-validation in a classifier, i.e.
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DefaultObservation |
A default observation is a vector of double values.
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DoubleCategory |
A category for multi-class classification using a double as identifier.
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GridSearchParameterLearner<S extends Observation,T extends Category> |
A grid-search approach for learning parameters.
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ParameterSet |
A set of parameters that can be given to a trainer to
specifiy the training task.
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ParameterTrainer<S extends Observation,T extends Category> |
Performs a parameter training on a given trainer, i.e.
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TrainingParameter |
A single parameter for a training method.
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TrainingSet<S extends Observation,T extends Category> |
A set of observations together with their category.
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