Deprecated API

Contents

• Deprecated Interfaces
• Deprecated Classes
• Deprecated Methods
• Deprecated Constructors

Deprecated Interfaces

Interface and Description
org.grouplens.lenskit.GlobalRatingPredictor It's unclear that this is useful, and it has not been refactored to match RatingPredictor.
org.grouplens.lenskit.RecommenderEngineFactory How you get a RecommenderEngine is implementation-specific.

Deprecated Classes

Class and Description
org.grouplens.lenskit.mf.funksvd.FunkSVDRecommender Just use TopNItemRecommender.
org.grouplens.lenskit.knn.item.ItemItemGlobalRecommender Use TopNGlobalItemRecommender directly instead.
org.grouplens.lenskit.knn.item.ItemItemRecommender Just use TopNItemRecommender instead.
org.grouplens.lenskit.core.LenskitRecommenderEngineFactory Use LenskitConfiguration and LenskitRecommenderEngine.build(DAOFactory, LenskitConfiguration) instead.
org.grouplens.lenskit.eval.maven.RScriptMojo Run R from within the eval script, using the Ant exec task instead.
org.grouplens.lenskit.core.ScoreBasedGlobalItemRecommender Use TopNGlobalItemRecommender instead.
org.grouplens.lenskit.core.ScoreBasedItemRecommender Use TopNItemRecommender instead.
org.grouplens.lenskit.slopeone.SlopeOneRecommender Just use TopNItemRecommender.
org.grouplens.lenskit.knn.user.UserUserRecommender Just use TopNItemRecommender.
org.grouplens.lenskit.vectors.Vectors.EntryPair Use Vectors.intersect(SparseVector, SparseVector).

Deprecated Methods

Method and Description
org.grouplens.lenskit.transform.quantize.ValueArrayQuantizer.apply(double)
org.grouplens.lenskit.transform.quantize.Quantizer.apply(double) Use Quantizer.index(double val)
org.grouplens.lenskit.vectors.MutableSparseVector.clear(long) Use MutableSparseVector.unset(long) instead.
org.grouplens.lenskit.vectors.MutableSparseVector.clear(VectorEntry) Use MutableSparseVector.unset(VectorEntry) instead.
org.grouplens.lenskit.data.Event.copy() Copy the event directly using an appropriate builder. This method was an overly-leaky abstraction. Events are immutable; if you have a mutable event, it is from a fast collection, and the client code or iterator implementation is responsible to know what to do.
org.grouplens.lenskit.data.pref.Preference.copy() Use PreferenceBuilder.copy(Preference).
org.grouplens.lenskit.data.event.SimpleRating.copy()
org.grouplens.lenskit.data.event.SimpleNullRating.copy()
org.grouplens.lenskit.data.event.Rating.copy()
org.grouplens.lenskit.data.event.MutableRating.copy()
org.grouplens.lenskit.data.event.AbstractEventCursor.copy(E) This implementation will be removed in LensKit 2.0.
org.grouplens.lenskit.eval.AbstractTask.getEvalConfig() Use EvalProject.getConfig() directly.
org.grouplens.lenskit.eval.algorithm.LenskitAlgorithmInstanceBuilder.getFactory() Use LenskitAlgorithmInstanceBuilder.getConfig() instead.
org.grouplens.lenskit.eval.algorithm.AlgorithmInstanceBuilderDelegate.getFactory()
org.grouplens.lenskit.eval.traintest.TestUser.getHistory() use TestUser.getTrainHistory()
org.grouplens.lenskit.core.LenskitRecommenderEngineFactory.getInitialGraph(Class) Use LenskitConfiguration.buildGraph(Class).
org.grouplens.lenskit.core.LenskitRecommenderEngineFactory.getInstantiatedGraph(Class) Use RecommenderInstantiator.simulate().
org.grouplens.lenskit.mf.funksvd.FunkSVDModel.getItemFeatures()
org.grouplens.lenskit.core.LenskitRecommender.getRatingDataAccessObject() Use LenskitRecommender.getDataAccessObject().
org.grouplens.lenskit.mf.funksvd.FunkSVDModel.getUserFeatures()
org.grouplens.lenskit.transform.quantize.ValueArrayQuantizer.getValue(int)
org.grouplens.lenskit.transform.quantize.Quantizer.getValue(int) Use Quantizer.getIndexValue(int i)
org.grouplens.lenskit.core.LenskitConfigContext.in(Annotation, Class)
org.grouplens.lenskit.core.AbstractConfigContext.in(Annotation, Class)
org.grouplens.lenskit.core.LenskitConfigContext.in(Class)
org.grouplens.lenskit.core.AbstractConfigContext.in(Class)
org.grouplens.lenskit.core.LenskitConfigContext.in(Class, Class)
org.grouplens.lenskit.core.AbstractConfigContext.in(Class, Class)
org.grouplens.lenskit.iterative.ThresholdStoppingCondition.isFinished(int, double)
org.grouplens.lenskit.iterative.StoppingCondition.isFinished(int, double) The newLoop() should be used instead
org.grouplens.lenskit.iterative.IterationCountStoppingCondition.isFinished(int, double)
org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition.isFinished(int, double)
org.grouplens.lenskit.collections.ScoredLongArrayList.longIterator()
org.grouplens.lenskit.collections.ScoredLongArrayList.longListIterator()
org.grouplens.lenskit.collections.ScoredLongArrayList.longListIterator(int)
org.grouplens.lenskit.collections.ScoredLongArrayList.longSubList(int, int)
org.grouplens.lenskit.data.event.Ratings.make(long, long, double) Use Ratings.newBuilder().
org.grouplens.lenskit.data.event.Ratings.make(long, long, double, long) Use Ratings.newBuilder().
org.grouplens.lenskit.vectors.Vectors.paired(SparseVector, SparseVector) This can be implemented in terms of Vectors.union(SparseVector, SparseVector)
org.grouplens.lenskit.vectors.Vectors.pairedFast(SparseVector, SparseVector) This can be implemented in terms of Vectors.fastUnion(SparseVector, SparseVector)
org.grouplens.lenskit.vectors.Vectors.pairedFastIterator(SparseVector, SparseVector) This can be implemented in terms of Vectors.fastUnion(SparseVector, SparseVector)
org.grouplens.lenskit.vectors.Vectors.pairedIterator(SparseVector, SparseVector) This can be implemented in terms of Vectors.union(SparseVector, SparseVector)
org.grouplens.lenskit.RatingPredictor.score(long, Collection) Use RatingPredictor.predict(long, Collection)
org.grouplens.lenskit.basic.AbstractRatingPredictor.score(long, Collection)
org.grouplens.lenskit.RatingPredictor.score(long, long) Use RatingPredictor.predict(long, long)
org.grouplens.lenskit.basic.AbstractRatingPredictor.score(long, long)
org.grouplens.lenskit.RatingPredictor.score(long, MutableSparseVector) Use RatingPredictor.predict(long, MutableSparseVector)
org.grouplens.lenskit.basic.AbstractRatingPredictor.score(long, MutableSparseVector)
org.grouplens.lenskit.RatingPredictor.score(UserHistory, Collection) Use RatingPredictor.predict(UserHistory, Collection)
org.grouplens.lenskit.basic.AbstractRatingPredictor.score(UserHistory, Collection)
org.grouplens.lenskit.RatingPredictor.score(UserHistory, long) Use RatingPredictor.predict(UserHistory, long)
org.grouplens.lenskit.basic.AbstractRatingPredictor.score(UserHistory, long)
org.grouplens.lenskit.RatingPredictor.score(UserHistory, MutableSparseVector) Use RatingPredictor.predict(UserHistory, MutableSparseVector)
org.grouplens.lenskit.basic.AbstractRatingPredictor.score(UserHistory, MutableSparseVector)
org.grouplens.lenskit.eval.data.crossfold.CrossfoldTask.setHoldout(double) use CrossfoldTask.setHoldoutFraction(double) instead.
org.grouplens.lenskit.core.LenskitRecommenderEngineFactory.simulateInstantiation(Graph) Use RecommenderInstantiator.simulate().

Deprecated Constructors

Constructor and Description
org.grouplens.lenskit.data.history.BasicUserHistory(long, List) Use History.forUser(long, java.util.List) instead.
org.grouplens.lenskit.core.LenskitRecommenderEngine(DAOFactory, File) Use LenskitRecommenderEngine.load(DAOFactory, File) instead.
org.grouplens.lenskit.data.event.SimpleNullRating(long, long, long) Use RatingBuilder.
org.grouplens.lenskit.data.event.SimpleNullRating(long, long, long, long) Use RatingBuilder.
org.grouplens.lenskit.data.event.SimpleRating(long, long, long, double) Use RatingBuilder.
org.grouplens.lenskit.data.event.SimpleRating(long, long, long, double, long) Use RatingBuilder.
org.grouplens.lenskit.data.event.SimpleRating(long, long, Preference) Use RatingBuilder.
org.grouplens.lenskit.data.event.SimpleRating(long, Preference) Use RatingBuilder.