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| Class Summary | |
|---|---|
| Classifier | Interface for fragment classification. |
| ClassifierParams | in an attempt to generalise the classifiers and keep them separate from anything whistle specific, use this abstract class to hold classifier specific parameters and cast it into something more concrete when it's used by a particular class; |
| GroupMeans | Many classification functions need the mean values of each parameter from a group of training data. |
| LinearClassifier | Train and run linear classification |
| LinearClassifierParams | |
| MahalanobisClassifier | |
| MahalanobisParams | |
| Enum Summary | |
|---|---|
| Classifier.ProbabilityType | Type of probability that will be returned by this classifier. |
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