See: Description
| Interface | Description |
|---|---|
| IBatchLearner<T,I,D extends IDataset<I>> |
The
IBatchLearner models a learning algorithm which works in a batch
fashion, i.e. takes a whole AILabeledAttributeArrayDataset as training input. |
| ICertaintyProvider<T,I,D extends IDataset<I>> |
The
ICertaintyProvider models an IPredictiveModel that
provides uncertainty information for queries in form of IInstances. |
| IOnlineLearner<T,I,D extends IDataset<I>> |
The
IOnlineLearner models a learning algorithm which works in an
online fashion, i.e. takes either a single IInstance or a Set
thereof as training input. |
| IPredictiveModel<T,I,D extends IDataset<I>> |
The
IPredictiveModel corresponds to a model which can be used to make
predictions based on given IInstancees. |
| IPredictiveModelConfiguration |
The
IPredictiveModelConfiguration models a configuration of an IPredictiveModel. |
| Class | Description |
|---|---|
| ABatchLearner<T,V,I,D extends IDataset<I>> |
Abstract extension of
IBatchLearner to be able to construct
prediction of the given |
| AOnlineLearner<T,V,I,D extends IDataset<I>> |
Abstract extension of
IOnlineLearner to be able to construct
prediction of the given |
| APredictiveModel<T,V,I,D extends IDataset<I>> |
Abstract extension of
IPredictiveModel to be able to construct
prediction of the given |