IBatchLearner (jaicore-ml 0.1.6 API)

Type Parameters:

T - The type of the target that this IBatchLearner predicts.

I - The type of the instances stored in the data set specified by the generic parameter .

D - The type of the data set used to learn from and predict batches.

All Superinterfaces:

IPredictiveModel<T,I,D>

All Known Subinterfaces:

IDyadRanker, IOnlineLearner<T,I,D>, IPLDyadRanker

All Known Implementing Classes:

ABatchLearner, AOnlineLearner, FeatureTransformPLDyadRanker, PLNetDyadRanker, TSClassifier
```
public interface IBatchLearner<T,I,D extends IDataset<I>>
extends IPredictiveModel<T,I,D>
```
The IBatchLearner models a learning algorithm which works in a batch fashion, i.e. takes a whole AILabeledAttributeArrayDataset as training input. It can be trained based on an AILabeledAttributeArrayDataset in order to make predictions.

- Method Summary
  
  All Methods Instance Methods Abstract Methods
  Modifier and Type Method Description
  
  void train(D dataset)
  Trains this IBatchLearner using the given AILabeledAttributeArrayDataset.
  - Methods inherited from interface ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModel
    getConfiguration, predict, predict, setConfiguration

- Method Detail
  - train
```
void train(D dataset)
    throws TrainingException
```
    Trains this IBatchLearner using the given AILabeledAttributeArrayDataset.
    
    Parameters:
    
    dataset - The AILabeledAttributeArrayDataset which should be used for the training.
    
    Throws:
    
    TrainingException - If something fails during the training process.