ai.libs.jaicore.ml.core.predictivemodel

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

Type Parameters:

T - The type of the target that this IOnlineLearner 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:

IBatchLearner<T,I,D>, IPredictiveModel<T,I,D>

All Known Implementing Classes:

AOnlineLearner, PLNetDyadRanker

public interface IOnlineLearner<T,I,D extends IDataset<I>>
extends IBatchLearner<T,I,D>

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.

Method Summary

Modifier and Type	Method and Description
void	update(I instance) Updates this IOnlineLearner based on the given IInstance.
void	update(java.util.Set<I> instances) Updates this IOnlineLearner based on the given Set of IInstances.

Methods inherited from interface ai.libs.jaicore.ml.core.predictivemodel.IBatchLearner

train

Methods inherited from interface ai.libs.jaicore.ml.core.predictivemodel.IPredictiveModel

getConfiguration, predict, predict, setConfiguration

Method Detail

update

void update(java.util.Set<I> instances)
     throws TrainingException

Updates this IOnlineLearner based on the given Set of IInstances.

Parameters:

instances - The Set of IInstances the update should be based on.

Throws:

TrainingException - If something fails during the update process.

update

void update(I instance)
     throws TrainingException

Updates this IOnlineLearner based on the given IInstance.

Parameters:

instance - The IInstance the update should be based on.

Throws:

TrainingException - If something fails during the update process.