Package ai.libs.jaicore.ml.dyadranking.activelearning

Class UCBPoolBasedActiveDyadRanker

java.lang.Object

ai.libs.jaicore.ml.dyadranking.activelearning.ActiveDyadRanker

ai.libs.jaicore.ml.dyadranking.activelearning.ARandomlyInitializingDyadRanker

ai.libs.jaicore.ml.dyadranking.activelearning.UCBPoolBasedActiveDyadRanker

public class UCBPoolBasedActiveDyadRanker
extends ARandomlyInitializingDyadRanker

A prototypical active dyad ranker based on the UCB decision rule. During the learning procedure, it keeps track over the standard deviation of the skill values predicted for a dyad. First a constant number of random queries is sampled at the beginning. Then the sampling strategy randomly selects problem instances and picks the two dyads with largest skill + standard deviation for pairwise comparison. On each query step, this is repeated a constant number of times to create a minibatch.

Field Summary

Fields inherited from class ai.libs.jaicore.ml.dyadranking.activelearning.ActiveDyadRanker

poolProvider, ranker

Constructor Summary

Constructors

Constructor	Description
UCBPoolBasedActiveDyadRanker(PLNetDyadRanker ranker, IDyadRankingPoolProvider poolProvider, int seed, int numberRandomQueriesAtStart, int minibatchSize)

Method Summary

Modifier and Type	Method	Description
void	activelyTrainWithOneInstance()

Methods inherited from class ai.libs.jaicore.ml.dyadranking.activelearning.ARandomlyInitializingDyadRanker

activelyTrain, getDyadStats, getInstanceFeatures, getIteration, getMinibatchSize, getNumberRandomQueriesAtStart, getRandom, updateRanker

Methods inherited from class ai.libs.jaicore.ml.dyadranking.activelearning.ActiveDyadRanker

getPoolProvider, getRanker, setPoolProvider, setRanker

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

UCBPoolBasedActiveDyadRanker

public UCBPoolBasedActiveDyadRanker(PLNetDyadRanker ranker,
                                    IDyadRankingPoolProvider poolProvider,
                                    int seed,
                                    int numberRandomQueriesAtStart,
                                    int minibatchSize)

Method Detail

activelyTrainWithOneInstance

public void activelyTrainWithOneInstance()
                                  throws TrainingException

Specified by:

activelyTrainWithOneInstance in class ARandomlyInitializingDyadRanker

Throws:

TrainingException