ai.libs.jaicore.ml.core.predictivemodel

Interface IBatchLearner<T,I,D extends IDataset<I>>

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

Modifier and Type	Method and 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.