| Class | Description |
|---|---|
| AccuracyMeter |
Measures classification accuracy of a reduced set.
|
| HandlerCSVM |
HandlerCSVM for C support vector machine algorithm.
|
| HandlerNB |
Handler for Naive Bayes algorithm.
|
| HandlerSMO |
Handler for SMO algorithm.
|
| NormalDistribution |
Implements a normal distribution function.
|
| NumericalNaiveBayes |
Numerical Naive Bayes algorithm.
|
| ParametersC45 |
Class to implement Parameters the C4.5 algorithm.
|
| ParametersSMO |
Class to implement Parameters the SMO algorithm
|
| Prototype |
Representation of a prototype.
|
| PrototypeGenerationAlgorithm<T extends PrototypeGenerator> |
Template used by children classes to executes its algorithms.
|
| PrototypeGenerator |
Implements a generic Semi-supervised method
|
| PrototypeSet |
Represents a prototype set.
|
| Utilidades |
Utilities class.
|