| Class | Description |
|---|---|
| AbstractWekaClassifier | |
| 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;
|
| ClassifierTypes |
Class to serve up classifier types to the Whistle classifier
|
| 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 | |
| WekaClassifier | |
| WekaClassifierParams | |
| WekaOptionsDialog | |
| WekaRandomForest | |
| WekaRegressionTree |
| Enum | Description |
|---|---|
| Classifier.ProbabilityType |
Type of probability that will be returned by this classifier.
|