| Package | Description |
|---|---|
| net.sf.tweety.machinelearning | |
| net.sf.tweety.machinelearning.svm |
| Class and Description |
|---|
| Category
A category within the space of observations.
|
| ClassificationTester
Classes implementing this interface provide the means to test a training mechanism
for performance.
|
| Classifier
A classifier classifies observations into categories.
|
| DefaultObservation
A default observation is a vector of double values.
|
| DoubleCategory
A category for multi-class classification using a double as identifier.
|
| Observation
An observation is some data point which can be classified.
|
| ParameterSet
A set of parameters that can be given to a trainer to
specifiy the training task.
|
| ParameterTrainer
Performs a parameter training on a given trainer, i.e.
|
| Trainer |
| TrainingParameter
A single parameter for a training method.
|
| TrainingSet
A set of observations together with their category.
|
| Class and Description |
|---|
| Category
A category within the space of observations.
|
| Classifier
A classifier classifies observations into categories.
|
| DefaultObservation
A default observation is a vector of double values.
|
| DoubleCategory
A category for multi-class classification using a double as identifier.
|
| Observation
An observation is some data point which can be classified.
|
| ParameterSet
A set of parameters that can be given to a trainer to
specifiy the training task.
|
| Trainer |
| TrainingParameter
A single parameter for a training method.
|
| TrainingSet
A set of observations together with their category.
|