Index (LensKit 3.0-SNAPSHOT)

A B C D E F G H I J K L M N O P Q R S T U V W Z

A

AbsoluteThreshold - Class in org.grouplens.lenskit.transform.threshold: Checks similarity values to ensure their absolute values are over the ThresholdValue.
AbsoluteThreshold(double) - Constructor for class org.grouplens.lenskit.transform.threshold.AbsoluteThreshold: Construct a new absolute-value threshold.
AbstractBeanEntity - Class in org.lenskit.data.entities: Abstract entity implementation that uses bean methods.
AbstractBeanEntity(AbstractBeanEntity.BeanEntityLayout, EntityType, long) - Constructor for class org.lenskit.data.entities.AbstractBeanEntity: Construct a bean entity.
AbstractBeanEntity.BeanAttributeGetter - Class in org.lenskit.data.entities: Internal utility class - do not use.
AbstractBeanEntity.BeanEntityLayout - Class in org.lenskit.data.entities
AbstractBeanEntityBuilder - Class in org.lenskit.data.entities: Base class for entity builders using bean-style setters.
AbstractBeanEntityBuilder(EntityType) - Constructor for class org.lenskit.data.entities.AbstractBeanEntityBuilder
AbstractBeanEntityBuilder.AttrMethod - Class in org.lenskit.data.entities: Abstract class for accessing attribute methods.
AbstractBeanEntityBuilder.DoubleAttrMethod - Class in org.lenskit.data.entities
AbstractBeanEntityBuilder.LongAttrMethod - Class in org.lenskit.data.entities
AbstractConfigContext - Class in org.lenskit.inject: Helper for implementing Lenskit config contexts.
AbstractConfigContext() - Constructor for class org.lenskit.inject.AbstractConfigContext
AbstractDataAccessObject - Class in org.lenskit.data.dao: Helper class to make it easier to create DAOs.
AbstractDataAccessObject() - Constructor for class org.lenskit.data.dao.AbstractDataAccessObject
AbstractDescriptionWriter - Class in org.lenskit.util.describe: Base class to help implementing DescriptionWriters.
AbstractDescriptionWriter() - Constructor for class org.lenskit.util.describe.AbstractDescriptionWriter
AbstractEntity - Class in org.lenskit.data.entities: Base class to make it easier to implement entities.
AbstractEntity(EntityType, long) - Constructor for class org.lenskit.data.entities.AbstractEntity
AbstractFilteringGreedyRerankStrategy - Class in org.lenskit.rerank: Abstract class designed to make implementation of a GreedyRerankStrategy easier.
AbstractFilteringGreedyRerankStrategy() - Constructor for class org.lenskit.rerank.AbstractFilteringGreedyRerankStrategy
AbstractItemBasedItemRecommender - Class in org.lenskit.basic: Base class to make it easier to implement ItemBasedItemRecommender.
AbstractItemBasedItemRecommender() - Constructor for class org.lenskit.basic.AbstractItemBasedItemRecommender
AbstractItemBasedItemScorer - Class in org.lenskit.basic: Base class to make it easier to implement ItemBasedItemScorer.
AbstractItemBasedItemScorer() - Constructor for class org.lenskit.basic.AbstractItemBasedItemScorer
AbstractItemRecommender - Class in org.lenskit.basic: Base class to ease implementation of item recommenders.
AbstractItemRecommender() - Constructor for class org.lenskit.basic.AbstractItemRecommender
AbstractItemScorer - Class in org.lenskit.basic: Base class to make item scorers easier to implement.
AbstractItemScorer() - Constructor for class org.lenskit.basic.AbstractItemScorer
AbstractItemVectorNormalizer - Class in org.lenskit.transform.normalize: Abstract item vector normalizer implementation.
AbstractItemVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.AbstractItemVectorNormalizer
AbstractObjectStream<T> - Class in org.lenskit.util.io: Base class to make ObjectStreams easier to implement.
AbstractObjectStream() - Constructor for class org.lenskit.util.io.AbstractObjectStream
AbstractRatingPredictor - Class in org.lenskit.basic: Base class to make item scorers easier to implement.
AbstractRatingPredictor() - Constructor for class org.lenskit.basic.AbstractRatingPredictor
AbstractRatingVectorPDAO - Class in org.lenskit.data.ratings: Base class for helping construct rating vector proxy DAOs.
AbstractRatingVectorPDAO(DataAccessObject) - Constructor for class org.lenskit.data.ratings.AbstractRatingVectorPDAO
AbstractResult - Class in org.lenskit.results: Base class for basic result types.
AbstractResult(long, double) - Constructor for class org.lenskit.results.AbstractResult: Create a new result.
AbstractResult() - Constructor for class org.lenskit.results.AbstractResult: Create a new, uninitialized result.
AbstractScoringGreedyRerankStrategy - Class in org.lenskit.rerank: Abstract class designed to make implementation of a GreedyRerankStrategy easier.
AbstractScoringGreedyRerankStrategy() - Constructor for class org.lenskit.rerank.AbstractScoringGreedyRerankStrategy
AbstractTableWriter - Class in org.lenskit.util.table.writer: Abstract helper class for implementing table writers.
AbstractTableWriter() - Constructor for class org.lenskit.util.table.writer.AbstractTableWriter
AbstractUserVectorNormalizer - Class in org.lenskit.transform.normalize: Abstract user vector normalizer implementation.
AbstractUserVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.AbstractUserVectorNormalizer
AbstractVectorNormalizer - Class in org.lenskit.transform.normalize: Abstract vector normalizer implementation.
AbstractVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.AbstractVectorNormalizer
acquireSemaphore(Semaphore) - Static method in class org.lenskit.util.parallel.Blockers: Acquire a semaphore, coordinating with the fork-join pool if one is running.
adaptFromType(MethodVisitor, Class<?>) - Static method in class org.lenskit.util.reflect.CGUtils: Emit instructions that adapt the current stack contents to Object.
adaptToType(MethodVisitor, Class<?>) - Static method in class org.lenskit.util.reflect.CGUtils: Emit instructions that adapt the current stack (an Object) to a possibly primitive target type.
add(Entity) - Method in class org.lenskit.data.store.EntityCollectionBuilder: Add an entity to the collection.
add(Entity, boolean) - Method in class org.lenskit.data.store.EntityCollectionBuilder: Add an entity to the collection.
add(long, double, int, double) - Method in class org.lenskit.knn.item.ItemItemScoreAccumulator: Add a score to the accumulator.
add(Result) - Method in class org.lenskit.results.ResultAccumulator: Add a result to the accumulator.
add(long, double) - Method in class org.lenskit.results.ResultAccumulator: Add a basic result to the accumulator.
add(int, long) - Method in class org.lenskit.util.collections.CompactableLongArrayList
add(long) - Method in class org.lenskit.util.collections.CompactableLongArrayList
add(T) - Method in class org.lenskit.util.collections.SortedListAccumulator: Add an item to the accumulator.
add(T) - Method in class org.lenskit.util.keys.KeyedObjectMapBuilder
add(T...) - Method in class org.lenskit.util.keys.KeyedObjectMapBuilder
add(String, Object) - Method in class org.lenskit.util.table.RowBuilder: Add a single column by name.
addAlgorithm(AlgorithmInstance) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Adds an algorithmInfo to the experiment being built.
addAlgorithm(String, LenskitConfiguration) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: An algorithm instance constructed with a name and Lenskit configuration
addAlgorithm(AlgorithmInstance) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add an algorithm to the experiment.
addAlgorithm(String, Closure<?>) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add an algorithm configured by a Groovy closure.
addAlgorithm(String, Path) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add one or more algorithms by loading a config file.
addAlgorithms(List<AlgorithmInstance>) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add multiple algorithm instances.
addAlgorithms(Path) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add one or more algorithms from a configuration file.
addAll(int, Collection<? extends Long>) - Method in class org.lenskit.util.collections.CompactableLongArrayList
addAll(Collection<? extends Long>) - Method in class org.lenskit.util.collections.CompactableLongArrayList
addAll(Iterable<? extends T>) - Method in class org.lenskit.util.keys.KeyedObjectMapBuilder
addAll(Map<String, ?>) - Method in class org.lenskit.util.table.RowBuilder: Add several columns from a map.
addArgument(String) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a command line argument.
addArguments(Collection<String>) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add some command line arguments.
addArguments(String...) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add some command line arguments.
addAttribute(TypedName<?>) - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Add an attribute to the list of expected attributes.
addAttribute(String, TypedName<?>) - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Add an attribute to the list of expected attributes, with a JSON field name.
addBindings(BindingFunctionBuilder) - Method in class org.lenskit.inject.RecommenderGraphBuilder: Add bindings to the graph builder.
addColumn(TypedName<?>) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Associate an attribute with the next column.
addColumn(String, TypedName<?>) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Add a column.
addColumn(String) - Method in class org.lenskit.util.table.TableLayoutBuilder: Add a column to the table layout.
addColumns(TypedName<?>...) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Add columns to a format.
addColumns(Iterable<String>) - Method in class org.lenskit.util.table.TableLayoutBuilder: Add columns to the layout.
addColumns(String...) - Method in class org.lenskit.util.table.TableLayoutBuilder: Add columns to the layout.
addComponent(Object) - Method in class org.lenskit.config.BindingDSL
addComponent(Object) - Method in class org.lenskit.inject.AbstractConfigContext
addComponent(Class<?>) - Method in class org.lenskit.inject.AbstractConfigContext
addComponent(Object) - Method in interface org.lenskit.LenskitConfigContext: Add a component object to the injector.
addComponent(Class<?>) - Method in interface org.lenskit.LenskitConfigContext: Add a component type to the injector.
addConfiguration(LenskitConfiguration) - Method in class org.lenskit.inject.RecommenderGraphBuilder: Add a recommender configuration.
addConfiguration(LenskitConfiguration) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Add a configuration to be included in the recommender engine.
addConfiguration(LenskitConfiguration, ModelDisposition) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Add a configuration to be used when building the engine.
addConfiguration(LenskitConfiguration) - Method in class org.lenskit.LenskitRecommenderEngineLoader: Add a configuration to use when loading the configuration.
addDataSet(Crossfolder) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Adds a crossfolder’s results to the experiment.
addDataSet(String, StaticDataSource, int, double) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Add a new data set to be cross-folded.
addDataSet(StaticDataSource, int, double) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Add a new data set to be cross-folded.
addDataSet(String, StaticDataSource, int) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Add a new data set to be cross-folded.
addDataSet(StaticDataSource, int) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Add a new data set to be cross-folded.
addDataSet(DataSet) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Adds a single DataSet to the TrainTestExperiment.
addDataSet(StaticDataSource, StaticDataSource) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Add a data set to the experiment.
addDataSet(DataSet) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add a data set.
addDataSets(List<DataSet>) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add several data sets.
addDefaultIndex(TypedName<Long>) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Add an attribute to index by default on all entities.
addDerivedEntity(EntityType, EntityType, TypedName<Long>) - Method in class org.lenskit.data.dao.file.StaticDataSource: Add a derived entity to the data source.
addDerivedEntity(EntityDerivation) - Method in class org.lenskit.data.dao.file.StaticDataSource: Add a derived entity to the data source.
addEntities(Entity...) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Add multiple entities.
addEntities(Iterable<? extends Entity>) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Add multiple entities.
addEntity(Entity) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Add an entity to the DAO.
addEntityLayout(EntityType, AttributeSet) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Set a layout for an entity type.
addEntityLayout(EntityType, AttributeSet, Class<? extends EntityBuilder>) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Set a layout for an entity type.
addFilterField(TypedName<A>, A) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add a filter condition to the builder.
addFilterField(Attribute<?>) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add a filter condition to the builder.
addFilterFields(List<Attribute<?>>) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add a filter condition to the builder.
addHint(String, Object...) - Method in exception org.lenskit.RecommenderConfigurationException
addIndex(EntityType, TypedName<?>) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Index entities by an attribute.
addIndex(EntityType, TypedName<?>) - Method in class org.lenskit.data.dao.file.StaticDataSource: Index entities by an attribute.
addIndex(TypedName<T>) - Method in class org.lenskit.data.store.EntityCollectionBuilder: Add an index to an entity collection to speed up lookups.
addIndex(String) - Method in class org.lenskit.data.store.EntityCollectionBuilder: Add an index to an entity collection to speed up lookups.
addItemFileArgument(LongSet, String) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a list of items as a command-line argument.
addItemFileArgument(LongSet) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a list of items as a command-line argument.
addLoggingGroup(ArgumentParser) - Static method in class org.lenskit.cli.util.Logging
addMetric(PredictMetric<?>) - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask: Add a prediction metric.
addMetric(TopNMetric<?>) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Add a prediction metric.
addMetric(PredictMetric<?>) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Add a metric to the experiment.
addRatingFileArgument(DataAccessObject, String) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a list of ratings as a command-line argument.
addRatingFileArgument(DataAccessObject) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a list of ratings as a command-line argument.
addResults(long, Result...) - Method in class org.lenskit.basic.PrecomputedItemScorer.Builder: Add results for a user.
addRoot(Class<?>) - Method in class org.lenskit.LenskitConfiguration: Add the specified component type as a root component.
addRoots(Iterable<Class<?>>) - Method in class org.lenskit.inject.RecommenderGraphBuilder: Add roots to the graph builder.
addRow(List<?>) - Method in class org.lenskit.util.table.TableBuilder: Add a row to the table.
addRow(Object...) - Method in class org.lenskit.util.table.TableBuilder: Add a row to the table.
addScalar(Long2DoubleMap, double) - Static method in class org.lenskit.util.math.Vectors: Add a scalar to each element of a vector.
addScore(long, long, double) - Method in class org.lenskit.basic.PrecomputedItemScorer.Builder: Add a score.
addSortKey(TypedName<? extends Comparable>) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add an ascending sort key.
addSortKey(TypedName<? extends Comparable>, SortOrder) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add a sort key.
addSortKey(SortKey) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add a sort key.
addSortKeys(Iterable<SortKey>) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Add multiple sort keys.
addSource(Collection<? extends Entity>) - Method in class org.lenskit.data.dao.file.StaticDataSource: Add a collection data source.
addSource(Collection<? extends Entity>, Map<String, Object>) - Method in class org.lenskit.data.dao.file.StaticDataSource: Add a collection data source.
addSource(EntitySource) - Method in class org.lenskit.data.dao.file.StaticDataSource: Add an entity source.
addTask(EvalTask) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Add an evaluation task.
addTask(ForkJoinTask<?>) - Method in class org.lenskit.util.parallel.TaskGroup: Add a task to be executed.
addTestEntity(Entity...) - Method in class org.lenskit.eval.traintest.TestUserBuilder
addTestRating(long, double) - Method in class org.lenskit.eval.traintest.TestUserBuilder
addTrainEntity(Entity...) - Method in class org.lenskit.eval.traintest.TestUserBuilder
addUserFileArgument(LongSet, String) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a list of users as a command-line argument.
addUserFileArgument(LongSet) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Add a list of users as a command-line argument.
advance() - Method in class org.lenskit.util.ProgressLogger: Record that an item has been completed.
AggregateResult(TopNMAPMetric.Context) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMAPMetric.AggregateResult
AggregateResult(TopNMRRMetric.Context) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMRRMetric.AggregateResult
algorithm(Closure<?>) - Method in class org.lenskit.eval.traintest.MultiAlgorithmDSL
algorithm(String, Closure<?>) - Method in class org.lenskit.eval.traintest.MultiAlgorithmDSL: Create a new algorithm in this file.
AlgorithmInstance - Class in org.lenskit.eval.traintest: An instance of a recommender algorithm to be trained and measured.
AlgorithmInstance(String, LenskitConfiguration) - Constructor for class org.lenskit.eval.traintest.AlgorithmInstance: Construct a new algorithm instance.
AlgorithmInstance(String, List<LenskitConfiguration>, Map<String, Object>) - Constructor for class org.lenskit.eval.traintest.AlgorithmInstance: Construct a new algorithm instance.
AlgorithmInstanceBuilder - Class in org.lenskit.eval.traintest: Builder for algorithm instances.
AlgorithmInstanceBuilder() - Constructor for class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Construct a new algorithm instance builder.
AlgorithmInstanceBuilder(String) - Constructor for class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Construct a new algorithm instance builder with a name.
allItems() - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector
allMatch(Predicate<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
anyMatch(Predicate<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
apply(long, long, double) - Method in interface org.grouplens.lenskit.transform.clamp.ClampingFunction: Clamp a value.
apply(long, long, double) - Method in class org.grouplens.lenskit.transform.clamp.IdentityClampingFunction
apply(long, long, double) - Method in class org.grouplens.lenskit.transform.clamp.RatingRangeClampingFunction
apply(Entity) - Method in class org.lenskit.data.dao.EntityQuery: Call EntityQuery.matches(Entity).
apply(String) - Method in class org.lenskit.data.dao.file.LineEntityParser
apply(List<? extends Rating>, Random) - Method in enum org.lenskit.eval.crossfold.SortOrder: Apply the ordering.
apply(DAGNode<Component, Dependency>) - Method in class org.lenskit.inject.NodeInstantiator
applyReversedTransform(InvertibleFunction<Long2DoubleMap, Long2DoubleMap>) - Method in class org.lenskit.knn.item.ItemItemScoreAccumulator: Apply the reverse of a transform to the results.
as(Class<T>) - Method in interface org.lenskit.api.Result: Convert this result to the specified type, if possible.
as(Class<T>) - Method in class org.lenskit.basic.FallbackResult: Convert this result to another type.
as(Class<T>) - Method in class org.lenskit.results.AbstractResult: Convert this result to the specified type, if possible.
as(Class<T>) - Method in class org.lenskit.results.RescoredResult: Convert this type.
asLong2DoubleFunction(Map<Long, Double>) - Static method in class org.lenskit.util.collections.LongUtils: Deprecated.
see LongUtils.asLong2DoubleMap(Map)
asLong2DoubleMap(Map<Long, Double>) - Static method in class org.lenskit.util.collections.LongUtils: Wrap or cast a long-to-double map into Fastutil.
asLongCollection(Collection<Long>) - Static method in class org.lenskit.util.collections.LongUtils: Get a Fastutil LongCollection from a Collection of longs.
asLongList(List<Long>) - Static method in class org.lenskit.util.collections.LongUtils
asLongSet(Set<Long>) - Static method in class org.lenskit.util.collections.LongUtils: Get a Fastutil LongSet from a Set of longs.
asLongSet(Collection<Long>) - Static method in class org.lenskit.util.collections.LongUtils: Get a Fastutil LongSet from a Collection of longs.
asMap() - Method in class org.lenskit.data.entities.AbstractEntity
asMap() - Method in interface org.lenskit.data.entities.Entity: View this entity as a map.
asMap() - Method in interface org.lenskit.util.table.Row: Get a view of this row as a map.
asRow() - Method in interface org.lenskit.util.table.Row: Get a view of this row as a list.
asType(Class<V>) - Method in interface org.lenskit.data.dao.Query: View results as a different type.
at(Class<?>) - Method in class org.lenskit.config.BindingDSL
at(Class<?>, Closure<?>) - Method in class org.lenskit.config.BindingDSL: Configure inside an anchored context using a block.
at(Class<? extends Annotation>, Class<?>) - Method in class org.lenskit.config.BindingDSL
at(Class<? extends Annotation>, Class<?>, Closure<?>) - Method in class org.lenskit.config.BindingDSL: Enclose a block of configuration in a context.
at(Annotation, Class<?>) - Method in class org.lenskit.config.BindingDSL
at(Annotation, Class<?>, Closure<?>) - Method in class org.lenskit.config.BindingDSL: Enclose a block of configuration in a context.
at(Class<?>) - Method in interface org.lenskit.LenskitConfigContext
at(Class<? extends Annotation>, Class<?>) - Method in interface org.lenskit.LenskitConfigContext
at(Annotation, Class<?>) - Method in interface org.lenskit.LenskitConfigContext
at(Class<?>) - Method in class org.lenskit.LenskitConfiguration
at(Class<? extends Annotation>, Class<?>) - Method in class org.lenskit.LenskitConfiguration
at(Annotation, Class<?>) - Method in class org.lenskit.LenskitConfiguration
Attribute<T> - Class in org.lenskit.data.entities: An attribute associated with an entity, consisting of its name, type, and value.
ATTRIBUTES - Static variable in class org.lenskit.data.ratings.Rating
AttributeSet - Class in org.lenskit.data.entities: A set of attributes.
attributeValueFunction(TypedName<T>) - Static method in class org.lenskit.data.entities.Entities
AttrMethod(TypedName<?>) - Constructor for class org.lenskit.data.entities.AbstractBeanEntityBuilder.AttrMethod
autodetect(String) - Static method in enum org.lenskit.util.io.CompressionMode: Auto-detect a compression mode from a file name.
autodetect(File) - Static method in enum org.lenskit.util.io.CompressionMode: Auto-detect a compression mode from a file’s name.
AutoProvider(PreferenceDomain) - Constructor for class org.lenskit.transform.quantize.PreferenceDomainQuantizer.AutoProvider
average() - Method in interface org.lenskit.util.table.Column: Get the average of this column.
avgPrecision - Variable in class org.lenskit.eval.traintest.recommend.TopNMAPMetric.UserResult

B

BaselineScorer - Annotation Type in org.lenskit.baseline: Annotation for the baseline scorer of a stacked item scorer, or an item scorer used as a baseline in another component.
baselineScorer - Variable in class org.lenskit.transform.normalize.BaselineSubtractingUserVectorNormalizer
BaselineSubtractingUserVectorNormalizer - Class in org.lenskit.transform.normalize: User vector normalizer that subtracts a user’s baseline scores.
BaselineSubtractingUserVectorNormalizer(ItemScorer) - Constructor for class org.lenskit.transform.normalize.BaselineSubtractingUserVectorNormalizer: Create a new baseline-subtracting normalizer with the given baseline.
basename(String, boolean) - Static method in class org.lenskit.util.io.LKFileUtils: Get the basename of a file path, possibly without extension.
basicCopy(Result) - Static method in class org.lenskit.results.Results: Create a basic result that has the same ID and score as another result (a basic copy of the result).
basicCopyFunction() - Static method in class org.lenskit.results.Results: Guava function that converts a result to a basic result.
BasicEntityBuilder - Class in org.lenskit.data.entities: General-purpose builder for entities.
BasicEntityBuilder(EntityType) - Constructor for class org.lenskit.data.entities.BasicEntityBuilder: Create a new entity builder for a type.
basicEquivalence() - Static method in class org.lenskit.results.Results: An equivalence relation that considers objects to be equal if they are equal after being converted to basic results (that is, their IDs and scores are equal).
BasicNeighborIterationStrategy - Class in org.lenskit.knn.item.model: Neighbor iteration strategy that considers all items to be candidate neighbors.
BasicNeighborIterationStrategy() - Constructor for class org.lenskit.knn.item.model.BasicNeighborIterationStrategy
BasicResult - Class in org.lenskit.results: A basic Result implementation with no details.
BasicResult(long, double) - Constructor for class org.lenskit.results.BasicResult: Create a new basic result.
BasicResultList - Class in org.lenskit.results: Basic list-based implementation of a result list.
BasicResultList(List<? extends Result>) - Constructor for class org.lenskit.results.BasicResultList: Create a new result list from a list of results.
BasicResultMap - Class in org.lenskit.results: Standard result map implementation.
BasicResultMap(Iterable<? extends Result>) - Constructor for class org.lenskit.results.BasicResultMap: Create a new result map from a collection of results.
BeanAttributeGetter() - Constructor for class org.lenskit.data.entities.AbstractBeanEntity.BeanAttributeGetter
begin(Path) - Static method in class org.lenskit.util.io.StagedWrite: Begin a staged file writing operation.
begin(File) - Static method in class org.lenskit.util.io.StagedWrite: Begin a staged file writing operation.
BiasDamping - Annotation Type in org.lenskit.bias: Damping parameter for bias models.
BiasItemScorer - Class in org.lenskit.bias: Score items using a user-item bias model.
BiasItemScorer(BiasModel) - Constructor for class org.lenskit.bias.BiasItemScorer: Construct a new scorer.
BiasItemVectorNormalizer - Class in org.lenskit.transform.normalize: Item vector normalizer that subtracts user-item biases.
BiasItemVectorNormalizer(BiasModel) - Constructor for class org.lenskit.transform.normalize.BiasItemVectorNormalizer: Construct a new normalizer.
BiasModel - Interface in org.lenskit.bias: Interface for bias models that can be based on the user, item, or both.
BiasUserVectorNormalizer - Class in org.lenskit.transform.normalize: User vector normalizer that subtracts user-item biases.
BiasUserVectorNormalizer(BiasModel) - Constructor for class org.lenskit.transform.normalize.BiasUserVectorNormalizer: Construct a new normalizer.
BinarySearch - Class in org.lenskit.util: Utility class for implementing and working with binary searches.
BinarySearch() - Constructor for class org.lenskit.util.BinarySearch
bind(Class<T>) - Method in class org.lenskit.config.BindingDSL
bind(Class<? extends Annotation>, Class<T>) - Method in class org.lenskit.config.BindingDSL
bind(Class<? extends Annotation>, Class<T>) - Method in class org.lenskit.inject.AbstractConfigContext
bind(Class<T>) - Method in interface org.lenskit.LenskitConfigContext
bind(Class<? extends Annotation>, Class<T>) - Method in interface org.lenskit.LenskitConfigContext
bind(Class<T>) - Method in class org.lenskit.LenskitConfiguration
bindAny(Class<T>) - Method in class org.lenskit.config.BindingDSL
bindAny(Class<T>) - Method in class org.lenskit.inject.AbstractConfigContext
bindAny(Class<T>) - Method in interface org.lenskit.LenskitConfigContext
BindingDSL - Class in org.lenskit.config: Groovy DSL definition for configuring LensKit recommenders.
BlendWeight - Annotation Type in org.lenskit.hybrid: Blending weight for two-element hybrids.
Blockers - Class in org.lenskit.util.parallel: Utility classes for blocking computations.
Blockers() - Constructor for class org.lenskit.util.parallel.Blockers
build() - Method in class org.lenskit.basic.PrecomputedItemScorer.Builder: Construct the mock item scorer.
build() - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder
build() - Method in class org.lenskit.data.dao.EntityQueryBuilder: Build the data query.
build() - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder
build() - Method in class org.lenskit.data.entities.BasicEntityBuilder
build() - Method in class org.lenskit.data.entities.EntityBuilder: Build the entity.
build() - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder
build() - Method in class org.lenskit.data.ratings.RatingBuilder
build() - Method in class org.lenskit.data.store.EntityCollectionBuilder: Build the entity collection.
build() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder
build() - Method in class org.lenskit.eval.traintest.DataSetBuilder
build() - Method in class org.lenskit.eval.traintest.TestUserBuilder
build() - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Build the item scorer.
build(LenskitConfiguration) - Static method in class org.lenskit.LenskitRecommender: Deprecated.
Use LenskitRecommender.build(LenskitConfiguration, DataAccessObject)
build(LenskitConfiguration, DataAccessObject) - Static method in class org.lenskit.LenskitRecommender: Build a recommender from a configuration.
build(LenskitConfiguration) - Static method in class org.lenskit.LenskitRecommenderEngine: Build a LensKit recommender engine from a configuration.
build(LenskitConfiguration, DataAccessObject) - Static method in class org.lenskit.LenskitRecommenderEngine: Build a LensKit recommender engine from a configuration.
build() - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Deprecated.
Use LenskitRecommenderEngineBuilder.build(DataAccessObject)
build(DataAccessObject) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Build the recommender engine.
build() - Method in class org.lenskit.util.keys.KeyedObjectMapBuilder
build() - Method in class org.lenskit.util.table.RowBuilder: Build a row as a row object.
build() - Method in class org.lenskit.util.table.TableBuilder
build() - Method in class org.lenskit.util.table.TableLayoutBuilder
buildDependencySolver() - Method in class org.lenskit.inject.RecommenderGraphBuilder: Build a dependency solver from the provided bindings.
buildDependencySolverImpl(RecommenderGraphBuilder.SolveDirection) - Method in class org.lenskit.inject.RecommenderGraphBuilder
buildDependencyUnsolver() - Method in class org.lenskit.inject.RecommenderGraphBuilder: Build a dependency ‘unsolver’ from the provided bindings.
Builder(double, double, RatingMatrix, StoppingCondition) - Constructor for class org.lenskit.baseline.LeastSquaresItemScorer.Builder: Create a new builder.
Builder() - Constructor for class org.lenskit.basic.PrecomputedItemScorer.Builder
Builder(RatingVectorPDAO, UserVectorNormalizer, UserVectorNormalizer) - Constructor for class org.lenskit.knn.user.UserSnapshot.Builder
buildGraph() - Method in class org.lenskit.inject.RecommenderGraphBuilder
buildGraph() - Method in class org.lenskit.LenskitConfiguration: Deprecated.
This shouldn’t be used anymore.
buildList() - Method in class org.lenskit.util.table.RowBuilder: Build the row as a list.
buildMatrix() - Method in class org.lenskit.slopeone.SlopeOneModelDataAccumulator
buildObject(Builder<T>, Map<String, Object>) - Static method in class org.lenskit.config.GroovyUtils: Build an object using named arguments.
buildRecommender(DataAccessObject) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Build the recommender directly, skipping an engine.
buildRecommenderGraph(DataAccessObject) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Build a recommender graph for this engine builder’s configuration.
buildWithView(Class<E>) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Build the data query with a view type.
BuiltBy - Annotation Type in org.lenskit.data.entities: Identify the builder type for an entity class.
byteSource(File) - Static method in class org.lenskit.util.io.LKFileUtils: Create a file byte source, automatically decompressing based on file name.
byteSource(File, CompressionMode) - Static method in class org.lenskit.util.io.LKFileUtils: Create a file byte source.
byteSource(URL, CompressionMode) - Static method in class org.lenskit.util.io.LKFileUtils: Create a URL-backed byte source.

C

callWithDelegate(Closure<?>, Object) - Static method in class org.lenskit.config.GroovyUtils: Call a configuration block with a specified delegate.
CGUtils - Class in org.lenskit.util.reflect: Code generation utilities.
CGUtils() - Constructor for class org.lenskit.util.reflect.CGUtils
checkForPlaceholders(DAGNode<Component, Dependency>, Logger) - Static method in class org.lenskit.inject.GraphtUtils: Check a graph for placeholder satisfactions.
checkRowWidth(int) - Method in class org.lenskit.util.table.writer.AbstractTableWriter: Check the width of a row to see if it is too wide.
ClampingFunction - Interface in org.grouplens.lenskit.transform.clamp: Function for clamping user-item data, typically a preference or rating.
clampValue(double) - Method in class org.lenskit.data.ratings.PreferenceDomain: Clamp a value to this preference domain.
clampVector(Map<Long, Double>) - Method in class org.lenskit.data.ratings.PreferenceDomain
ClassDirectory - Class in org.lenskit.util: Directory to look up where classes might be found.
ClassQueries - Class in org.lenskit.util.reflect: Various utility function queries on classes.
ClassQueries() - Constructor for class org.lenskit.util.reflect.ClassQueries
clear(AbstractBeanEntityBuilder) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder.AttrMethod
clear() - Method in class org.lenskit.util.table.RowBuilder: Clear the row builder.
clearAttribute(TypedName<?>) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder
clearAttribute(TypedName<?>) - Method in class org.lenskit.data.entities.BasicEntityBuilder
clearAttribute(TypedName<?>) - Method in class org.lenskit.data.entities.EntityBuilder: Clear an attribute.
clearColumns() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Clear the columns configured for this format.
clearExtraAttribute(TypedName<?>) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder: Clear an extra attribute.
clearGroup() - Method in class org.lenskit.util.io.GroupingObjectStream: Clear the accumulated group.
clearItemId() - Method in class org.lenskit.data.ratings.RatingBuilder: Clear the item ID.
clearRating() - Method in class org.lenskit.data.ratings.RatingBuilder: Clear the rating value.
clearRoots() - Method in class org.lenskit.LenskitConfiguration: Clear the set of roots, removing all configured and default roots.
clearTimestamp() - Method in class org.lenskit.data.ratings.RatingBuilder
clearUserId() - Method in class org.lenskit.data.ratings.RatingBuilder: Clear the user ID.
close() - Method in interface org.lenskit.api.Recommender: Close the recommender.
close() - Method in class org.lenskit.inject.StaticInjector
close() - Method in class org.lenskit.LenskitRecommender
close() - Method in class org.lenskit.util.io.AbstractObjectStream: No-op implementation of the ObjectStream.close() method.
close() - Method in class org.lenskit.util.io.GroupingObjectStream
close() - Method in class org.lenskit.util.io.LineStream
close() - Method in interface org.lenskit.util.io.ObjectStream: Close the stream.
close() - Method in class org.lenskit.util.io.StagedWrite: Clean up the staged write, deleting the staging file if it still exists.
close() - Method in class org.lenskit.util.table.TableBuilder
close() - Method in class org.lenskit.util.table.writer.CSVWriter
close() - Method in class org.lenskit.util.table.writer.DevNullTableWriter
close() - Method in class org.lenskit.util.table.writer.MultiplexedTableWriter
close() - Method in interface org.lenskit.util.table.writer.TableWriter: Finish the table.
collect(Supplier<R>, BiConsumer<R, ? super T>, BiConsumer<R, R>) - Method in class org.lenskit.util.io.AbstractObjectStream
collect(Collector<? super T, A, R>) - Method in class org.lenskit.util.io.AbstractObjectStream
CollectionUtils - Class in org.lenskit.util.collections: Various helper methods for working with collections (particularly Fastutil collections).
Column - Interface in org.lenskit.util.table: A view of a column of a table.
column(int) - Method in interface org.lenskit.util.table.Table: Get a column by index.
column(String) - Method in interface org.lenskit.util.table.Table: Get a column by name.
columnIndex(String) - Method in class org.lenskit.util.table.TableLayout: Get the index of a particular column.
combine(Long2DoubleMap, Long2DoubleFunction, double, double) - Static method in class org.lenskit.util.math.Vectors: Add a vector to another (scaled) vector and a scalar.
Command - Interface in org.lenskit.cli: Interface implemented by all CLI subcommands.
commit() - Method in class org.lenskit.util.io.StagedWrite: Complete the staging write by replacing the target file with the staging file.
CommonAttributes - Class in org.lenskit.data.entities: Definitions and utilities for common fields.
CommonTypes - Class in org.lenskit.data.entities: Definitions and utiltiies for common entity types.
CommonTypes() - Constructor for class org.lenskit.data.entities.CommonTypes
CompactableLongArrayList - Class in org.lenskit.util.collections: A long array list that can use compact storage.
CompactableLongArrayList() - Constructor for class org.lenskit.util.collections.CompactableLongArrayList
CompactableLongArrayList(int) - Constructor for class org.lenskit.util.collections.CompactableLongArrayList
CompactableLongArrayList(Collection<? extends Long>) - Constructor for class org.lenskit.util.collections.CompactableLongArrayList
comparator() - Method in class org.lenskit.util.keys.KeyedObjectMap
comparator() - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
comparator() - Method in class org.lenskit.util.keys.LongSortedArraySet
compileSelector(String) - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector: Compile an item selector from a Groovy expression.
CompressedByteSource - Class in org.lenskit.util.io: A Guava byte source that decompresses data from an underlying source.
CompressedByteSource(ByteSource, String) - Constructor for class org.lenskit.util.io.CompressedByteSource: Construct a compressed byte source.
CompressionMode - Enum in org.lenskit.util.io
compute() - Method in class org.lenskit.util.parallel.TaskGroup
computeNumToInspect(int, int, int) - Method in class org.lenskit.rerank.AbstractFilteringGreedyRerankStrategy: A method to compute how many of the items in the list to inspect before returning the best item found so far.
computeNumToInspect(int, int, int) - Method in class org.lenskit.rerank.AbstractScoringGreedyRerankStrategy: A method to compute how many of the items in the list to inspect before returning the best item found so far.
concat(Iterable<? extends ObjectStream<? extends T>>) - Static method in class org.lenskit.util.io.ObjectStreams: Concatenate object streams.
concat(ObjectStream<? extends T>...) - Static method in class org.lenskit.util.io.ObjectStreams: Concatenate object streams.
ConditionEvaluator - Interface in org.lenskit.eval.traintest: Measures the performance of a single experimental condition.
ConfigHelpers - Class in org.lenskit.config: LensKit configuration helper utilities.
ConfigurationLoader - Class in org.lenskit.config: Load LensKit configurations using the configuration DSL.
ConfigurationLoader() - Constructor for class org.lenskit.config.ConfigurationLoader: Construct a new configuration loader.
ConfigurationLoader(ClassLoader) - Constructor for class org.lenskit.config.ConfigurationLoader: Construct a new configuration loader.
configure(LenskitConfiguration, Closure<?>) - Static method in class org.lenskit.config.ConfigHelpers: Modify a configuration from a closure.
configure(LenskitConfiguration) - Method in class org.lenskit.config.LenskitConfigScript: Run this script against an existing configuration.
configure() - Method in class org.lenskit.config.LenskitConfigScript: Run this script and produce a new configuration.
configureArguments(ArgumentParser) - Method in interface org.lenskit.cli.Command: Configure the argument parser for this command.
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.Crossfold
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.GlobalRecommend
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.Graph
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.Predict
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.Recommend
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.RunScript
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.Simulate
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.TrainModel
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.TrainTest
configureArguments(ArgumentParser) - Method in class org.lenskit.cli.commands.Version
configureArguments(ArgumentParser) - Static method in class org.lenskit.cli.util.InputData
configureArguments(ArgumentParser, boolean) - Static method in class org.lenskit.cli.util.InputData
configureArguments(ArgumentParser) - Static method in class org.lenskit.cli.util.RecommenderLoader
configureArguments(ArgumentParser) - Static method in class org.lenskit.cli.util.ScriptEnvironment
configureLogging(Namespace) - Static method in class org.lenskit.cli.util.Logging
constantDoubleMap(Set<Long>, double) - Static method in class org.lenskit.util.collections.LongUtils: Create a map that maps a group of items to the same value.
ConstantItemScorer - Class in org.lenskit.basic: Item scorer that returns a fixed score for all items.
ConstantItemScorer(double) - Constructor for class org.lenskit.basic.ConstantItemScorer: Create a new constant item scorer.
ConstantItemScorer.Value - Annotation Type in org.lenskit.basic: The value used by the constant scorer.
consume(int, ObjectStream<T>) - Static method in class org.lenskit.util.io.ObjectStreams: Consume and discard the first n elements from an object stream.
contains(Object) - Method in class org.lenskit.data.entities.AttributeSet
contains(Object) - Method in class org.lenskit.results.BasicResultList
contains(long) - Method in class org.lenskit.util.keys.LongSortedArraySet
containsAll(Collection<?>) - Method in class org.lenskit.results.BasicResultList
containsKey(long) - Method in class org.lenskit.results.BasicResultMap
containsKey(long) - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
containsKey(long) - Method in class org.lenskit.util.keys.HashKeyIndex
containsKey(long) - Method in class org.lenskit.util.keys.KeyedObjectMap
containsKey(long) - Method in class org.lenskit.util.keys.KeyedObjectMapBuilder: Query whether an object with the specified key has been added.
containsKey(long) - Method in interface org.lenskit.util.keys.KeyIndex: Query whether this index contains a particular key.
containsKey(long) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
containsKey(long) - Method in class org.lenskit.util.keys.SortedKeyIndex: Query whether this set contains the specified key in its domain.
containsValue(Object) - Method in class org.lenskit.util.keys.KeyedObjectMap
Context() - Constructor for class org.lenskit.eval.traintest.predict.CoveragePredictMetric.Context
Context() - Constructor for class org.lenskit.eval.traintest.predict.MAEPredictMetric.Context
Context() - Constructor for class org.lenskit.eval.traintest.predict.RMSEPredictMetric.Context
Context() - Constructor for class org.lenskit.eval.traintest.recommend.TopNEntropyMetric.Context
Context() - Constructor for class org.lenskit.eval.traintest.recommend.TopNPopularityMetric.Context
Context(LongSet) - Constructor for class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric.Context
copy() - Method in class org.lenskit.data.dao.EntityQueryBuilder: Create a new entity query builder that is a copy of this one.
copy(Rating) - Static method in class org.lenskit.data.ratings.RatingBuilder: Construct a new rating builder that is a copy of a particular rating.
copy() - Method in class org.lenskit.LenskitConfiguration: Convenience method to copy a LensKit configuration.
copy(TableLayout) - Static method in class org.lenskit.util.table.TableLayoutBuilder: Construct a new builder that is a copy of an existing layout.
copyBuilder(Entity) - Static method in class org.lenskit.data.entities.Entities: Create a new entity builder that is initialized with a copy of an entity.
copyBuilder() - Method in class org.lenskit.data.ratings.Rating: Create a new rating builder that will build a copy of this rating.
copyBuilder() - Method in class org.lenskit.eval.traintest.DataSet: Create a new builder initialized with this data set’s values.
copyBuilder(DataSet) - Static method in class org.lenskit.eval.traintest.DataSet: Create a new builder initialized with this data set’s values.
copyBuilder() - Method in class org.lenskit.knn.user.UserUserResult
CosineVectorSimilarity - Class in org.lenskit.similarity: Cosine similarity for vectors.
CosineVectorSimilarity() - Constructor for class org.lenskit.similarity.CosineVectorSimilarity: Construct an undamped cosine similarity function.
CosineVectorSimilarity(double) - Constructor for class org.lenskit.similarity.CosineVectorSimilarity: Construct a new cosine similarity function.
count() - Method in interface org.lenskit.data.dao.Query: Get the number of results the query would return.
COUNT - Static variable in class org.lenskit.data.entities.CommonAttributes: A standard count, for events that may use them.
count() - Method in class org.lenskit.util.io.AbstractObjectStream
count(ObjectStream<?>) - Static method in class org.lenskit.util.io.ObjectStreams: Deprecated.
Use Stream.collect(Collector).
count(int, int) - Method in class org.lenskit.util.math.MutualInformationAccumulator: Count an occurrence.
CountSumISProvider(EntityType, DataAccessObject) - Constructor for class org.lenskit.data.ratings.InteractionStatistics.CountSumISProvider: Construct the provider.
CountSumRatingVectorPDAO - Class in org.lenskit.data.ratings: Rating vector DAO that sums the count attributes for entities.
CountSumRatingVectorPDAO(DataAccessObject, EntityType) - Constructor for class org.lenskit.data.ratings.CountSumRatingVectorPDAO: Construct a rating vector source.
CoveragePredictMetric - Class in org.lenskit.eval.traintest.predict: Simple evaluator that records user, rating and prediction counts and computes recommender coverage over the queried items.
CoveragePredictMetric() - Constructor for class org.lenskit.eval.traintest.predict.CoveragePredictMetric
CoveragePredictMetric.AggregateCoverage - Class in org.lenskit.eval.traintest.predict
CoveragePredictMetric.Context - Class in org.lenskit.eval.traintest.predict
CoveragePredictMetric.Coverage - Class in org.lenskit.eval.traintest.predict
create(Entity...) - Static method in class org.lenskit.data.dao.EntityCollectionDAO: Create a new event collection DAO.
create(Collection<? extends Entity>) - Static method in class org.lenskit.data.dao.EntityCollectionDAO: Create a new event collection DAO.
create(TypedName<? extends Comparable>) - Static method in class org.lenskit.data.dao.SortKey: Create a new sort key in ascending order.
create(TypedName<? extends Comparable>, SortOrder) - Static method in class org.lenskit.data.dao.SortKey: Create a new sort key.
create(TypedName<T>, Comparator<? super T>) - Static method in class org.lenskit.data.dao.SortKey: Create a new sort key with a value comparator.
create(TypedName<T>, T) - Static method in class org.lenskit.data.entities.Attribute: Create a new attribute pair.
create(TypedName<?>...) - Static method in class org.lenskit.data.entities.AttributeSet: Create a new attribute set.
create(List<? extends TypedName<?>>) - Static method in class org.lenskit.data.entities.AttributeSet: Create a new attribute set.
create(EntityType, long) - Static method in class org.lenskit.data.entities.Entities: Create a new bare entity.
create(EntityType, EntityType, TypedName<Long>) - Static method in class org.lenskit.data.entities.EntityDerivation: Create a new entity derivation.
create(String, Class<T>) - Static method in class org.lenskit.data.entities.TypedName: Create a typed name object.
create(String, TypeToken<T>) - Static method in class org.lenskit.data.entities.TypedName: Create a typed name object.
create(String, String) - Static method in class org.lenskit.data.entities.TypedName: Create an typed name from a name and type name.
create(DataAccessObject, EntityType) - Static method in class org.lenskit.data.ratings.InteractionStatistics: Construct a new interaction statistics object.
create(DataAccessObject) - Static method in class org.lenskit.data.ratings.InteractionStatistics: Construct a new interaction statistics object that counts ratings.
create(long, long, double) - Static method in class org.lenskit.data.ratings.Rating: Deprecated.
Use EntityFactory.rating(long, long, double)
create(long, long, double, long) - Static method in class org.lenskit.data.ratings.Rating: Deprecated.
Use EntityFactory.rating(long, long, double, long)
create(DataAccessObject) - Static method in class org.lenskit.data.ratings.RatingSummary: Create a rating summary from a DAO.
create() - Static method in class org.lenskit.inject.NodeInstantiator: Create a node instantiator without a lifecycle manager.
create(LifecycleManager) - Static method in class org.lenskit.inject.NodeInstantiator: Create a node instantiator with a lifecycle manager.
create(DAGNode<Component, Dependency>) - Static method in class org.lenskit.inject.RecommenderInstantiator
create(int) - Static method in class org.lenskit.results.ResultAccumulator: Create a new result accumulator.
create(long, double) - Static method in class org.lenskit.results.Results: Create a new result with just and ID and a score.
create(long, T) - Static method in class org.lenskit.util.IdBox: Construct a new ID box.
create(LongList) - Static method in class org.lenskit.util.keys.FrozenHashKeyIndex: Construct a new key index.
create(LongCollection) - Static method in class org.lenskit.util.keys.FrozenHashKeyIndex: Create a new key index.
create() - Static method in class org.lenskit.util.keys.HashKeyIndex
create(LongList) - Static method in class org.lenskit.util.keys.HashKeyIndex: Construct a new indexer.
create(Collection<? extends T>) - Static method in class org.lenskit.util.keys.KeyedObjectMap: Create a new keyed object map.
create(Iterable<? extends T>, KeyExtractor<? super T>) - Static method in class org.lenskit.util.keys.KeyedObjectMap: Create a new keyed object map.
create(Long2DoubleMap) - Static method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Create a new long-to-double sorted array map from another map.
create(Map<Long, Double>) - Static method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Create a new sorted array map from input data.
create(long...) - Static method in class org.lenskit.util.keys.SortedKeyIndex: Create a key set with some keys.
create(Logger) - Static method in class org.lenskit.util.ProgressLogger: Create a new progress logger.
createConditionEvaluator(AlgorithmInstance, DataSet, RecommenderEngine) - Method in interface org.lenskit.eval.traintest.EvalTask: Set up a measurement of a single recommender.
createConditionEvaluator(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask
createConditionEvaluator(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.metrics.Metric: Create the context for an experimental condition (algorithm/data set pair).
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.predict.CoveragePredictMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.predict.MAEPredictMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.predict.RMSEPredictMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNEntropyMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNLengthMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNMAPMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNMRRMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNNDPMMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNPopularityMetric
createContext(AlgorithmInstance, DataSet, RecommenderEngine) - Method in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric
createFrozen(LongList) - Static method in class org.lenskit.util.keys.HashKeyIndex: Convenience method to create a frozen key index.
createMetric(Class<T>, JsonNode) - Method in class org.lenskit.eval.traintest.metrics.MetricLoaderHelper
createMetric(Class<T>, String) - Method in class org.lenskit.eval.traintest.metrics.MetricLoaderHelper
createRecommender() - Method in interface org.lenskit.api.RecommenderEngine: Create a new recommender..
createRecommender() - Method in class org.lenskit.LenskitRecommenderEngine: Deprecated.
Use LenskitRecommenderEngine.createRecommender(DataAccessObject)
createRecommender(LenskitConfiguration) - Method in class org.lenskit.LenskitRecommenderEngine: Construct a recommender with some additional configuration.
createRecommender(DataAccessObject) - Method in class org.lenskit.LenskitRecommenderEngine: Create a LensKit recommender.
Crossfold - Class in org.lenskit.cli.commands: Pack ratings data into a rating file.
Crossfold() - Constructor for class org.lenskit.cli.commands.Crossfold
crossfold(DataAccessObject, CrossfoldOutput, EntityType) - Method in interface org.lenskit.eval.crossfold.CrossfoldMethod: Crossfold an input into some outputs.
Crossfolder - Class in org.lenskit.eval.crossfold: Partitions a data set for cross-validation.
Crossfolder() - Constructor for class org.lenskit.eval.crossfold.Crossfolder
Crossfolder(String) - Constructor for class org.lenskit.eval.crossfold.Crossfolder
CrossfoldMethod - Interface in org.lenskit.eval.crossfold: The method to be used for crossfolding.
CrossfoldMethods - Class in org.lenskit.eval.crossfold
csv(File) - Static method in class org.lenskit.data.output.RatingWriters: Write ratings to a CSV file.
csv(File, boolean) - Static method in class org.lenskit.data.output.RatingWriters: Write ratings to a CSV file.
csvRatingFile(Path) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Create a static data source from a CSV rating file.
csvRatings() - Static method in class org.lenskit.data.dao.file.Formats: Read a CSV file of ratings without a header.
CSVWriter - Class in org.lenskit.util.table.writer: Implementation of TableWriter for CSV files.
CSVWriter(Writer, TableLayout) - Constructor for class org.lenskit.util.table.writer.CSVWriter: Construct a new CSV writer.
CustomClassLoaderObjectInputStream - Class in org.lenskit.util.io: Object input stream that uses a custom class loader.
CustomClassLoaderObjectInputStream(InputStream, ClassLoader) - Constructor for class org.lenskit.util.io.CustomClassLoaderObjectInputStream

D

dao - Variable in class org.lenskit.basic.TopNItemBasedItemRecommender
dao - Variable in class org.lenskit.basic.TopNItemRecommender
dao - Variable in class org.lenskit.data.ratings.AbstractRatingVectorPDAO
dao - Variable in class org.lenskit.slopeone.SlopeOneItemScorer
DataAccessException - Exception in org.lenskit.data.dao: An error occurred during data access.
DataAccessException() - Constructor for exception org.lenskit.data.dao.DataAccessException
DataAccessException(String) - Constructor for exception org.lenskit.data.dao.DataAccessException
DataAccessException(String, Throwable) - Constructor for exception org.lenskit.data.dao.DataAccessException
DataAccessException(Throwable) - Constructor for exception org.lenskit.data.dao.DataAccessException
DataAccessObject - Interface in org.lenskit.data.dao: Interface for accessing data in LensKit.
DataSet - Class in org.lenskit.eval.traintest: A train-test data set.
DataSet(String, StaticDataSource, StaticDataSource, StaticDataSource, UUID, Map<String, Object>, List<EntityType>) - Constructor for class org.lenskit.eval.traintest.DataSet: Create a new data set.
DataSetBuilder - Class in org.lenskit.eval.traintest: Builder for generic train-test data sets.
DataSetBuilder() - Constructor for class org.lenskit.eval.traintest.DataSetBuilder
DataSetBuilder(String) - Constructor for class org.lenskit.eval.traintest.DataSetBuilder
decreasing(int) - Static method in class org.lenskit.util.collections.SortedListAccumulator: Create a new sorted list accumulator.
decreasing(int, Comparator<? super T>) - Static method in class org.lenskit.util.collections.SortedListAccumulator: Create a new sorted list accumulator that sorts in decreasing order.
deduplicate(long[], int, int) - Static method in class org.lenskit.util.MoreArrays: Remove duplicate elements in the backing store.
deduplicate(int[], int, int) - Static method in class org.lenskit.util.MoreArrays: Remove duplicate elements in the backing store.
DEFAULT_COLUMN - Static variable in class org.lenskit.eval.traintest.predict.NDCGPredictMetric
DEFAULT_COLUMN - Static variable in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric
DEFAULT_COLUMN - Static variable in class org.lenskit.eval.traintest.recommend.TopNNDPMMetric
DEFAULT_EPSILON - Static variable in class org.lenskit.util.math.Scalars: The default epsilon for checking for zero.
defaultDescriber() - Static method in class org.lenskit.util.describe.Descriptions: Get a default describer.
DefaultEntityType - Annotation Type in org.lenskit.data.entities: Indicate the default entity type for an entity view class.
DefaultIETProvider - Class in org.lenskit.data.entities: Provide the CommonTypes.RATING entity type as a default for InteractionEntityType.
DefaultIETProvider() - Constructor for class org.lenskit.data.entities.DefaultIETProvider
DefaultItemVectorNormalizer - Class in org.lenskit.transform.normalize: Default item vector normalizer that delegates to a generic VectorNormalizer.
DefaultItemVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.DefaultItemVectorNormalizer: Construct a new item vector normalizer that uses the identity normalization.
DefaultItemVectorNormalizer(VectorNormalizer) - Constructor for class org.lenskit.transform.normalize.DefaultItemVectorNormalizer: Construct a new item vector normalizer wrapping a generic vector normalizer.
DefaultNeighborIterationStrategyProvider - Class in org.lenskit.knn.item.model: Provider to auto-select an appropriate neighbor iteration strategy.
DefaultNeighborIterationStrategyProvider(ItemSimilarity) - Constructor for class org.lenskit.knn.item.model.DefaultNeighborIterationStrategyProvider: Construct a new provider.
DefaultUserVectorNormalizer - Class in org.lenskit.transform.normalize: Default user vector normalizer that delegates to a generic VectorNormalizer.
DefaultUserVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.DefaultUserVectorNormalizer: Construct a new user vector normalizer that uses the identity normalization.
DefaultUserVectorNormalizer(VectorNormalizer) - Constructor for class org.lenskit.transform.normalize.DefaultUserVectorNormalizer: Construct a new user vector normalizer wrapping a generic vector normalizer.
defineClass(ClassNode) - Method in class org.lenskit.util.reflect.DynamicClassLoader
delegate - Variable in class org.lenskit.transform.normalize.DefaultItemVectorNormalizer
delegate - Variable in class org.lenskit.transform.normalize.DefaultUserVectorNormalizer
DelimitedColumnEntityFormat - Class in org.lenskit.data.dao.file: Delimited text column entity format.
DelimitedColumnEntityFormat() - Constructor for class org.lenskit.data.dao.file.DelimitedColumnEntityFormat
delimitedRatings(String) - Static method in class org.lenskit.data.dao.file.Formats: Read a delimited text file of ratings without a header.
DEP_EDGE_ORDER - Static variable in class org.lenskit.inject.GraphtUtils: An ordering over dependency edges.
deriveEntities(EntityType, EntityType, TypedName<Long>) - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Derive bare entities from the values in another type of entity.
Describable - Interface in org.lenskit.util.describe: Objects supporting persistent descriptions of their identity.
describe(T, DescriptionWriter) - Method in interface org.lenskit.util.describe.Describer: Write a description of an object to a description writer.
Describer<T> - Interface in org.lenskit.util.describe: Describe an object to a AbstractDescriptionWriter.
describeTo(DescriptionWriter) - Method in class org.lenskit.data.dao.EntityCollectionDAO
describeTo(DescriptionWriter) - Method in class org.lenskit.data.dao.file.StaticDataSource
describeTo(DescriptionWriter) - Method in class org.lenskit.data.dao.file.TextEntitySource
describeTo(DescriptionWriter) - Method in class org.lenskit.data.entities.AbstractEntity
describeTo(DescriptionWriter) - Method in interface org.lenskit.util.describe.Describable: Write this class’s description to a sink.
Descriptions - Class in org.lenskit.util.describe: Utility classes for AbstractDescriptionWriters.
DescriptionWriter - Interface in org.lenskit.util.describe: Accumulate a description of an object (or objects).
desireIsTransient(Desire) - Static method in class org.lenskit.inject.GraphtUtils: Determine whether a desire is transient.
DeviationDamping - Annotation Type in org.lenskit.slopeone: Damping parameter for Slope-One deviations.
DevNullTableWriter - Class in org.lenskit.util.table.writer: Table writer that discards all data.
DevNullTableWriter(TableLayout) - Constructor for class org.lenskit.util.table.writer.DevNullTableWriter
Discount - Interface in org.lenskit.eval.traintest.metrics: Interface for discounts for rank evaluation.
discount(int) - Method in interface org.lenskit.eval.traintest.metrics.Discount: Compute the discount for a rank.
discount(int) - Method in class org.lenskit.eval.traintest.metrics.ExponentialDiscount
discount(int) - Method in class org.lenskit.eval.traintest.metrics.LogDiscount
Discounts - Class in org.lenskit.eval.traintest.metrics: Definitions of different discount functions.
dispose() - Method in class org.lenskit.data.ratings.PackedRatingMatrix: Dispose of the internal memory in the packed rating matrix.
distinct() - Method in class org.lenskit.util.io.AbstractObjectStream
domain(Map<String, Object>) - Method in class org.lenskit.config.BindingDSL: Make and bind a preference domain.
domain - Variable in class org.lenskit.slopeone.SlopeOneItemScorer
dotProduct(Long2DoubleMap, Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Compute the dot product of two maps.
dotProduct(Long2DoubleSortedArrayMap, Long2DoubleSortedArrayMap) - Static method in class org.lenskit.util.math.Vectors: Compute the dot product of two maps (optimized).
DoubleAttrMethod(TypedName<?>) - Constructor for class org.lenskit.data.entities.AbstractBeanEntityBuilder.DoubleAttrMethod
DynamicClassLoader - Class in org.lenskit.util.reflect: Dynamic class loader for loading new classes.
DynamicClassLoader() - Constructor for class org.lenskit.util.reflect.DynamicClassLoader
DynamicClassLoader(ClassLoader) - Constructor for class org.lenskit.util.reflect.DynamicClassLoader
DynamicProvider(ItemScorer, ItemScorer) - Constructor for class org.lenskit.basic.FallbackItemScorer.DynamicProvider

E

edgeIsTransient(DAGEdge<?, Dependency>) - Static method in class org.lenskit.inject.GraphtUtils
elapsedTime() - Method in class org.lenskit.util.ProgressLogger: Get a string representation of the elapsed time.
empty() - Static method in class org.lenskit.eval.traintest.metrics.MetricResult: Create an empty metric result.
empty() - Static method in class org.lenskit.util.io.ObjectStreams: Create an empty object stream.
empty() - Static method in class org.lenskit.util.keys.SortedKeyIndex: Create an empty key domain.
EngineValidationMode - Enum in org.lenskit: Control when a recommender engine is validated.
enterMonitor(Monitor) - Static method in class org.lenskit.util.parallel.Blockers: Enter a monitor, releasing coordinating with the fork-join pool.
Entities - Class in org.lenskit.data.entities
entities() - Method in class org.lenskit.data.store.EntityCollectionBuilder: Get a view of the entities added, for iteration and re-processing.
Entity - Interface in org.lenskit.data.entities: Base class for data entities in LensKit.
ENTITY_ID - Static variable in class org.lenskit.data.entities.CommonAttributes: Attribute indicating the entity ID.
ENTITY_TYPE - Static variable in class org.lenskit.data.ratings.Rating
EntityAttribute - Annotation Type in org.lenskit.data.entities: Marker for entity attribute methods.
EntityAttributeClearer - Annotation Type in org.lenskit.data.entities: Marker for entity attribute clear methods on AbstractBeanEntityBuilder subclasses.
EntityAttributeSetter - Annotation Type in org.lenskit.data.entities: Marker for entity attribute setters on AbstractBeanEntityBuilder classes.
EntityBuilder - Class in org.lenskit.data.entities: Base class for entity builders.
EntityBuilder(EntityType) - Constructor for class org.lenskit.data.entities.EntityBuilder: Construct a new entity builder.
EntityCollection - Class in org.lenskit.data.store: A collection of entities of a single type.
EntityCollectionBuilder - Class in org.lenskit.data.store: Created by MichaelEkstrand on 4/18/2017.
EntityCollectionBuilder() - Constructor for class org.lenskit.data.store.EntityCollectionBuilder
EntityCollectionDAO - Class in org.lenskit.data.dao: A DAO backed by one or more collections of entities.
EntityCollectionDAOBuilder - Class in org.lenskit.data.dao: Builder for entity collection DAOs.
EntityCollectionDAOBuilder() - Constructor for class org.lenskit.data.dao.EntityCollectionDAOBuilder
EntityCountRatingVectorPDAO - Class in org.lenskit.data.ratings: Rating vector DAO that counts entities appearing for a user.
EntityCountRatingVectorPDAO(DataAccessObject, EntityType) - Constructor for class org.lenskit.data.ratings.EntityCountRatingVectorPDAO: Construct a rating vector source.
EntityDefaults - Class in org.lenskit.data.entities: Descriptor for the default characteristics of an entity type.
EntityDefaults(EntityType, List<TypedName<?>>) - Constructor for class org.lenskit.data.entities.EntityDefaults: Construct a set of entity defaults where all common attributes are default columns.
EntityDefaults(EntityType, Collection<TypedName<?>>, List<TypedName<?>>, Class<? extends EntityBuilder>, List<EntityDerivation>) - Constructor for class org.lenskit.data.entities.EntityDefaults: Construct a set of entity defaults.
EntityDerivation - Class in org.lenskit.data.entities: Describe a derivation of one entity from another.
EntityFactory - Class in org.lenskit.data.entities: Class for quickly building common entity types.
EntityFactory() - Constructor for class org.lenskit.data.entities.EntityFactory
EntityFormat - Interface in org.lenskit.data.dao.file: Entity format interface.
EntityQuery<E extends Entity> - Class in org.lenskit.data.dao: Representation of a query.
EntityQueryBuilder - Class in org.lenskit.data.dao: Data query builder exposing a fluent interface.
EntityQueryBuilder(EntityType) - Constructor for class org.lenskit.data.dao.EntityQueryBuilder: Construct a new data query builder.
EntitySource - Interface in org.lenskit.data.dao.file: Interface for entity providers.
EntitySource.Layout - Class in org.lenskit.data.dao.file: The layout of an entity source.
EntitySources - Class in org.lenskit.data.dao.file: Utility classes for loading and working with entity sources.
EntitySources() - Constructor for class org.lenskit.data.dao.file.EntitySources
EntityType - Class in org.lenskit.data.entities: A type for an entity.
entityTypeNameFunction() - Static method in class org.lenskit.data.entities.Entities: Function that returns entity types’ names.
entropy - Variable in class org.lenskit.eval.traintest.recommend.TopNEntropyMetric.EntropyResult
EntropyResult(double) - Constructor for class org.lenskit.eval.traintest.recommend.TopNEntropyMetric.EntropyResult
entrySet() - Method in class org.lenskit.results.BasicResultMap
equals(Object) - Method in class org.lenskit.basic.FallbackResult
equals(Object) - Method in class org.lenskit.data.dao.file.EntitySource.Layout
equals(Object) - Method in class org.lenskit.data.dao.SortKey
equals(Object) - Method in class org.lenskit.data.entities.AbstractEntity
equals(Object) - Method in class org.lenskit.data.entities.Attribute
equals(Object) - Method in class org.lenskit.data.ratings.PreferenceDomain
equals(Object) - Method in class org.lenskit.data.ratings.Rating
equals(Object) - Method in class org.lenskit.eval.crossfold.FractionHistoryPartitionMethod
equals(Object) - Method in class org.lenskit.eval.crossfold.HoldoutNHistoryPartitionMethod
equals(Object) - Method in class org.lenskit.eval.crossfold.RetainNHistoryPartitionMethod
equals(Object) - Method in class org.lenskit.eval.traintest.metrics.ExponentialDiscount
equals(Object) - Method in class org.lenskit.eval.traintest.metrics.LogDiscount
equals(Object) - Method in class org.lenskit.inject.PlaceholderSatisfaction
equals(Object) - Method in class org.lenskit.knn.item.ItemItemResult
equals(Object) - Method in class org.lenskit.knn.user.UserUserResult
equals(Object) - Method in class org.lenskit.results.BasicResult: Compare this result with another for equality.
equals(Object) - Method in class org.lenskit.results.BasicResultList
equals(Object) - Method in class org.lenskit.results.RescoredResult
equals(Object) - Method in class org.lenskit.transform.normalize.IdentityVectorNormalizer
equals(Object) - Method in class org.lenskit.util.IdBox
equals(Object) - Method in class org.lenskit.util.Text
ErrorThresholdStoppingCondition - Class in org.grouplens.lenskit.iterative: Stop when absolute value of the error drops below a threshold.
ErrorThresholdStoppingCondition(double, int) - Constructor for class org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition: Construct a new error threshold stop.
ErrorThresholdStoppingCondition(double) - Constructor for class org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition: Create a new threshold stop with no minimum iteration count.
euclideanNorm(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Compute the Euclidean norm of the values of the map.
EvalTask - Interface in org.lenskit.eval.traintest: Interface for evaluation tasks.
EvaluationException - Exception in org.lenskit.eval.traintest: Exception thrown by evaluation actions.
EvaluationException() - Constructor for exception org.lenskit.eval.traintest.EvaluationException
EvaluationException(String) - Constructor for exception org.lenskit.eval.traintest.EvaluationException
EvaluationException(String, Throwable) - Constructor for exception org.lenskit.eval.traintest.EvaluationException
EvaluationException(Throwable) - Constructor for exception org.lenskit.eval.traintest.EvaluationException
exclude(Class<?>) - Method in interface org.lenskit.LenskitBinding
execute(Namespace) - Method in interface org.lenskit.cli.Command: Execute the command.
execute(Namespace) - Method in class org.lenskit.cli.commands.Crossfold
execute(Namespace) - Method in class org.lenskit.cli.commands.GlobalRecommend
execute(Namespace) - Method in class org.lenskit.cli.commands.Graph
execute(Namespace) - Method in class org.lenskit.cli.commands.Predict
execute(Namespace) - Method in class org.lenskit.cli.commands.Recommend
execute(Namespace) - Method in class org.lenskit.cli.commands.RunScript
execute(Namespace) - Method in class org.lenskit.cli.commands.Simulate
execute(Namespace) - Method in class org.lenskit.cli.commands.TrainModel
execute(Namespace) - Method in class org.lenskit.cli.commands.TrainTest
execute(Namespace) - Method in class org.lenskit.cli.commands.Version
execute() - Method in class org.lenskit.eval.crossfold.Crossfolder: Run the crossfold command.
execute() - Method in class org.lenskit.eval.temporal.TemporalEvaluator: During the evaluation, it will replay the ratings, try to predict each one, and write the prediction, TARMSE and the rating to the output file
execute() - Method in class org.lenskit.eval.traintest.SimpleEvaluator: If this is called more than once it will call of these commands again and most likely throw an exception.
execute() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Run the experiment.
exp(double) - Static method in class org.lenskit.eval.traintest.metrics.Discounts: Create a new exponential (half-life) discount.
ExperimentOutputLayout - Class in org.lenskit.eval.traintest: Manages the layouts for experiment output tables.
ExperimentOutputLayout(Set<String>, Set<String>) - Constructor for class org.lenskit.eval.traintest.ExperimentOutputLayout
ExponentialDiscount - Class in org.lenskit.eval.traintest.metrics: Exponential (half-life) discounting.
ExponentialDiscount(double) - Constructor for class org.lenskit.eval.traintest.metrics.ExponentialDiscount: Construct an exponential discount.
extend() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Create a new builder that inherits from this builder.
ExternalProcessException - Exception in org.lenskit.external: Error thrown when there is an error in an external process.
ExternalProcessException() - Constructor for exception org.lenskit.external.ExternalProcessException: Construct a new external process exception.
ExternalProcessException(String) - Constructor for exception org.lenskit.external.ExternalProcessException: Construct a new external process exception with a message.
ExternalProcessException(String, Throwable) - Constructor for exception org.lenskit.external.ExternalProcessException: Construct a new external process exception with a message and cause.
ExternalProcessException(Throwable) - Constructor for exception org.lenskit.external.ExternalProcessException: Construct a new external process exception with a cause.
ExternalProcessItemScorerBuilder - Class in org.lenskit.external: Build a PrecomputedItemScorer using an external process.
ExternalProcessItemScorerBuilder() - Constructor for class org.lenskit.external.ExternalProcessItemScorerBuilder

F

fail(Throwable) - Method in class org.lenskit.util.monitor.TrackedJob: Record the job as being failed.
FallbackItemScorer - Class in org.lenskit.basic: Item scorer that combines a primary scorer with a baseline.
FallbackItemScorer(ItemScorer, ItemScorer) - Constructor for class org.lenskit.basic.FallbackItemScorer
FallbackItemScorer.DynamicProvider - Class in org.lenskit.basic: An item scorer provider for opportunistically creating fallback scorers.
FallbackResult - Class in org.lenskit.basic: Result from a FallbackItemScorer.
fastEntries(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors
fastEntryIterator(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Get an iterator over the entries of the map.
filter(Predicate<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
filter(ObjectStream<T>, Predicate<? super T>) - Static method in class org.lenskit.util.io.ObjectStreams: Filter an object stream.
filter(ObjectStream<?>, Class<T>) - Static method in class org.lenskit.util.io.ObjectStreams: Filter an object stream to only contain elements of type type.
filter(String, Object) - Method in interface org.lenskit.util.table.Table
finalize() - Method in class org.lenskit.inject.StaticInjector
find(TypedName<T>, T) - Method in class org.lenskit.data.store.EntityCollection: Find entities by attribute.
find(Attribute<T>) - Method in class org.lenskit.data.store.EntityCollection: Find entities with an attribute.
find(String, Object) - Method in class org.lenskit.data.store.EntityCollection: Find entities by attribute.
findAny() - Method in class org.lenskit.util.io.AbstractObjectStream
findClass(String) - Method in class org.lenskit.eval.traintest.metrics.MetricLoaderHelper: Look up the class implementing a metric by name.
findFirst() - Method in class org.lenskit.util.io.AbstractObjectStream
findLowerBound(long) - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the lower bound, the first index whose key is greater than or equal to the specified key.
findNeighbors(long, LongSet) - Method in class org.lenskit.knn.user.UserUserItemScorer: Find the neighbors for a user with respect to a collection of items.
findSatisfyingNode(DAGNode<Component, Dependency>, QualifierMatcher, Class<?>) - Static method in class org.lenskit.inject.GraphtUtils: Find a node with a satisfaction for a specified type.
findUpperBound(long) - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the upper bound, the first index whose key is greater than the specified key.
finish() - Method in interface org.lenskit.eval.traintest.ConditionEvaluator: Finish measuring the performance for the algorithm and data set.
finish() - Method in interface org.lenskit.eval.traintest.EvalTask: Finalize this eval task.
finish() - Method in class org.lenskit.eval.traintest.predict.MAEPredictMetric.Context
finish() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask
finish() - Method in class org.lenskit.eval.traintest.predict.RMSEPredictMetric.Context
finish() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask
finish() - Method in class org.lenskit.eval.traintest.recommend.TopNEntropyMetric.Context
finish() - Method in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric.Context
finish() - Method in class org.lenskit.results.ResultAccumulator: Finish accumulating and return the accumulated results.
finish() - Method in class org.lenskit.util.collections.SortedListAccumulator: Finish accumulating and return the accumulated items.
finish() - Method in class org.lenskit.util.describe.HashDescriptionWriter: Finish the description, producing a hash code.
finish() - Method in class org.lenskit.util.describe.StringDescriptionWriter: Get the accumulated string description.
finish() - Method in class org.lenskit.util.monitor.TrackedJob: Record the job as being finished.
finish() - Method in class org.lenskit.util.ProgressLogger: Log that the process has finished.
finishGroup() - Method in class org.lenskit.util.io.GroupingObjectStream: Finish the current group and return it.
finishList() - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Accumulate the scored items into a list.
finishList() - Method in class org.lenskit.util.collections.TopNLong2DoubleAccumulator
finishList() - Method in class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
finishMap() - Method in class org.lenskit.results.ResultAccumulator
finishMap() - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Accumulate the scores into a map and reset the accumulator.
finishMap() - Method in class org.lenskit.util.collections.TopNLong2DoubleAccumulator
finishMap() - Method in class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
finishSet() - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Accumulate the scored items into a set.
finishSet() - Method in class org.lenskit.util.collections.TopNLong2DoubleAccumulator
finishSet() - Method in class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
finishStep() - Method in class org.lenskit.util.monitor.TrackedJob: Mark a step as finished.
finishSteps(int) - Method in class org.lenskit.util.monitor.TrackedJob: Mark steps as finished.
firstLong() - Method in class org.lenskit.util.keys.LongSortedArraySet
firstLongKey() - Method in class org.lenskit.util.keys.KeyedObjectMap
firstLongKey() - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
fixed(LongSet) - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector: Get an item selector that returns a fixed set of items.
fixed(long...) - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector
flatMap(Function<? super T, ? extends Stream<? extends R>>) - Method in class org.lenskit.util.io.AbstractObjectStream
flatMapToDouble(Function<? super T, ? extends DoubleStream>) - Method in class org.lenskit.util.io.AbstractObjectStream
flatMapToInt(Function<? super T, ? extends IntStream>) - Method in class org.lenskit.util.io.AbstractObjectStream
flatMapToLong(Function<? super T, ? extends LongStream>) - Method in class org.lenskit.util.io.AbstractObjectStream
flush() - Method in class org.lenskit.util.table.TableBuilder
flush() - Method in class org.lenskit.util.table.writer.CSVWriter
flush() - Method in class org.lenskit.util.table.writer.DevNullTableWriter
flush() - Method in class org.lenskit.util.table.writer.MultiplexedTableWriter
flush() - Method in interface org.lenskit.util.table.writer.TableWriter: Flush the writer, causing all currently-written rows to be flushed to output.
flyweightMap(LongSet, LongToDoubleFunction) - Static method in class org.lenskit.util.collections.LongUtils: Create a flyweight vector with a key set and value function.
forClassLoader(ClassLoader) - Static method in class org.lenskit.util.ClassDirectory: Get a class directory for a specific class loader.
forConfig(LenskitConfiguration) - Static method in class org.lenskit.inject.RecommenderInstantiator: Deprecated.
forCurrentClassLoader() - Static method in class org.lenskit.util.ClassDirectory: Get a class directory for the current thread’s class loader.
forEach(Consumer<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
forEach(Consumer<? super T>) - Method in interface org.lenskit.util.io.ObjectStream
forEachOrdered(Consumer<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
forList(E, List<? extends E>) - Static method in class org.lenskit.util.BinarySearch: Create a search over a list.
formatElapsedTime(double) - Static method in class org.lenskit.util.ProgressLogger: Format elapsed time.
Formats - Class in org.lenskit.data.dao.file: Utility methods relating to entity formats.
Formats() - Constructor for class org.lenskit.data.dao.file.Formats
forName(String) - Static method in class org.lenskit.data.entities.EntityType: Get the entity type for a name.
FractionHistoryPartitionMethod - Class in org.lenskit.eval.crossfold: Partition a list by fraction.
FractionHistoryPartitionMethod(double) - Constructor for class org.lenskit.eval.crossfold.FractionHistoryPartitionMethod: The fraction to hold out (put in the second partition).
fromArray(KeyIndex, double[]) - Static method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Create a map from an array and index mapping.
fromArray(KeyIndex, DoubleList) - Static method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Create a map from an array and index mapping.
fromCollection(Collection<Long>) - Static method in class org.lenskit.util.keys.SortedKeyIndex: Create a key set from a collection of keys.
fromConstructor(Class<? extends T>, Object...) - Static method in class org.lenskit.util.reflect.InstanceFactory: Instance factory calling a constructor with arguments.
fromCSV(BufferedReader) - Static method in class org.lenskit.basic.PrecomputedItemScorer: Read predictions from a CSV file.
fromEntry(Map.Entry<Long, Double>) - Static method in class org.lenskit.results.Results: Convert a map entry to a basic result.
fromEntryFunction() - Static method in class org.lenskit.results.Results: Function to convert map entries to basic results.
fromJSON(String, ClassLoader, JsonNode) - Static method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat
fromJSON(JsonNode, URI) - Static method in class org.lenskit.data.dao.file.EntitySources: Configure an entity source from JSON data.
fromJSON(String, ClassLoader, JsonNode) - Static method in class org.lenskit.data.dao.file.JSONEntityFormat
fromJSON(JsonNode, URI) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Parse a JSON description of a data set.
fromJSON(String, JsonNode, URI) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Parse a JSON description of a data set.
fromJSON(JsonNode) - Static method in class org.lenskit.data.entities.EntityDerivation: Parse an entity derivation from a JSON node.
fromJSON(JsonNode, URI) - Static method in class org.lenskit.eval.traintest.DataSet: Load one or more data sets from JSON data.
fromJSON(JsonNode, URI) - Static method in class org.lenskit.eval.traintest.predict.PredictEvalTask: Create a predict eval task from a JSON/YAML file.
fromJSON(JsonNode, URI) - Static method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Parse a recommend task from JSON.
fromList(Collection<? extends Entity>) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Create a static data source from a list/collection.
fromMap(Map<String, ?>) - Static method in class org.lenskit.eval.traintest.metrics.MetricResult: Create an empty metric result.
fromNullable(MetricResult) - Static method in class org.lenskit.eval.traintest.metrics.MetricResult: Convert a null result to an empty result.
fromString(String) - Static method in class org.lenskit.data.ratings.PreferenceDomain: Parse a preference domain from a string specification.
fromString(String) - Static method in enum org.lenskit.eval.crossfold.SortOrder
fromString(String) - Static method in class org.lenskit.util.Text: Create a new Text instance from a string.
frozenCopy() - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
frozenCopy() - Method in class org.lenskit.util.keys.HashKeyIndex: Make an immutable copy of this index mapping.
frozenCopy() - Method in interface org.lenskit.util.keys.KeyIndex: Get a frozen copy of this key index.
frozenCopy() - Method in class org.lenskit.util.keys.SortedKeyIndex
FrozenHashKeyIndex - Class in org.lenskit.util.keys: Immutable key index backed by a hash table.
frozenMap(Map<Long, Double>) - Static method in class org.lenskit.util.collections.LongUtils: Create a frozen long-to-double map.
frozenSet(Collection<Long>) - Static method in class org.lenskit.util.collections.LongUtils: Create a frozen long set.

G

get(long) - Method in interface org.lenskit.api.ResultMap: Get a result without boxing the key.
get() - Method in class org.lenskit.baseline.LeastSquaresItemScorer.Builder
get() - Method in class org.lenskit.basic.FallbackItemScorer.DynamicProvider
get() - Method in class org.lenskit.bias.GlobalAverageRatingBiasModelProvider
get() - Method in class org.lenskit.bias.ItemAverageRatingBiasModelProvider
get() - Method in class org.lenskit.bias.UserAverageRatingBiasModelProvider
get() - Method in class org.lenskit.bias.UserItemAverageRatingBiasModelProvider
get() - Method in class org.lenskit.data.dao.file.StaticDataSource: Get the data access object.
get() - Method in class org.lenskit.data.dao.GroupedQuery: Get the grouped entities as a list of groups.
get() - Method in interface org.lenskit.data.dao.Query: Get the results of this query as a list.
get(AbstractBeanEntity) - Method in class org.lenskit.data.entities.AbstractBeanEntity.BeanAttributeGetter
get(TypedName<T>) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of an attribute.
get(String) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of an attribute by name.
get() - Method in class org.lenskit.data.entities.DefaultIETProvider
get(TypedName<T>) - Method in interface org.lenskit.data.entities.Entity: Get the value of an attribute.
get(String) - Method in interface org.lenskit.data.entities.Entity: Get the value of an attribute by name.
get() - Method in class org.lenskit.data.ratings.InteractionStatistics.CountSumISProvider
get() - Method in class org.lenskit.data.ratings.InteractionStatistics.ISProvider
get() - Method in class org.lenskit.data.ratings.PackedRatingMatrixProvider
get() - Method in class org.lenskit.data.ratings.RatingSummaryProvider
get() - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder
get() - Method in class org.lenskit.knn.item.model.DefaultNeighborIterationStrategyProvider
get() - Method in class org.lenskit.knn.item.model.ItemItemBuildContextProvider: Constructs and returns a new ItemItemBuildContext.
get() - Method in class org.lenskit.knn.item.model.ItemItemModelProvider
get() - Method in class org.lenskit.knn.item.model.NormalizingItemItemModelProvider
get() - Method in class org.lenskit.knn.item.model.StandardVectorTruncatorProvider
get() - Method in class org.lenskit.knn.user.UserSnapshot.Builder
get(Class<T>) - Method in class org.lenskit.LenskitRecommender: Get a particular component from the recommender session.
get(Class<? extends Annotation>, Class<T>) - Method in class org.lenskit.LenskitRecommender: Get a particular qualified component from the recommender session.
get(Annotation, Class<T>) - Method in class org.lenskit.LenskitRecommender: Get a particular qualified component from the recommender session.
get(int) - Method in class org.lenskit.results.BasicResultList
get(long) - Method in class org.lenskit.results.BasicResultMap
get() - Method in class org.lenskit.slopeone.SlopeOneModelProvider: Constructs and returns a SlopeOneModel.
get() - Method in class org.lenskit.transform.quantize.PreferenceDomainQuantizer.AutoProvider
get(long) - Method in class org.lenskit.util.keys.KeyedObjectMap
get(long) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
get() - Method in class org.lenskit.util.RandomGeneratorProvider
get() - Method in class org.lenskit.util.RandomProvider
getAggregateColumnLabels() - Method in class org.lenskit.eval.traintest.metrics.Metric: Get labels for the aggregate columns output by this metric.
getAggregateMeasurements(X) - Method in class org.lenskit.eval.traintest.metrics.Metric: Get the aggregate results from an accumulator.
getAggregateMeasurements(CoveragePredictMetric.Context) - Method in class org.lenskit.eval.traintest.predict.CoveragePredictMetric
getAggregateMeasurements(MAEPredictMetric.Context) - Method in class org.lenskit.eval.traintest.predict.MAEPredictMetric
getAggregateMeasurements(Mean) - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric
getAggregateMeasurements(RMSEPredictMetric.Context) - Method in class org.lenskit.eval.traintest.predict.RMSEPredictMetric
getAggregateMeasurements(TopNEntropyMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNEntropyMetric
getAggregateMeasurements(Mean) - Method in class org.lenskit.eval.traintest.recommend.TopNLengthMetric
getAggregateMeasurements(TopNMAPMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNMAPMetric
getAggregateMeasurements(TopNMRRMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNMRRMetric
getAggregateMeasurements(Mean) - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric
getAggregateMeasurements(Mean) - Method in class org.lenskit.eval.traintest.recommend.TopNNDPMMetric
getAggregateMeasurements(TopNPopularityMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNPopularityMetric
getAggregateMeasurements(TopNPrecisionRecallMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric
getAlgorithmColumn(String) - Method in class org.lenskit.eval.traintest.ExperimentOutputLayout
getAlgorithms() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the algorithm instances.
getAllAttributes() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Get all attributes of this algorithm instance.
getAllItems() - Method in class org.lenskit.eval.traintest.DataSet
getAllItems() - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript: Get the set of all items.
getAllMetrics() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask: Get the list of all metrics.
getAllMetrics() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the list of all metrics.
getAttribute() - Method in class org.lenskit.data.dao.SortKey: Get the attribute to sort by.
getAttribute(int) - Method in class org.lenskit.data.entities.AttributeSet: Get the type name for an attribute by index.
getAttribute() - Method in class org.lenskit.data.entities.EntityDerivation: Get the source attribute for the derivation.
getAttributeDefaults(String) - Method in class org.lenskit.data.entities.EntityDefaults: Look up the default attribute descriptor (typed name) for a particular attribute name.
getAttributeNames() - Method in class org.lenskit.data.entities.AbstractBeanEntity
getAttributeNames() - Method in class org.lenskit.data.entities.AbstractEntity: Get the names of the attributes in this entity.
getAttributeNames() - Method in interface org.lenskit.data.entities.Entity: Get the names of the attributes in this entity.
getAttributes() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat
getAttributes() - Method in interface org.lenskit.data.dao.file.EntityFormat: Get the set of attributes entities from format may have, if known.
getAttributes() - Method in class org.lenskit.data.dao.file.EntitySource.Layout
getAttributes() - Method in class org.lenskit.data.dao.file.JSONEntityFormat
getAttributes() - Method in class org.lenskit.data.entities.AbstractBeanEntity
getAttributes() - Method in class org.lenskit.data.entities.AbstractEntity: Get the attribute-value pairs.
getAttributes() - Method in interface org.lenskit.data.entities.Entity: Get the attribute-value pairs.
getAttributes() - Method in class org.lenskit.eval.traintest.AlgorithmInstance: Get the attributes of this algorithm.
getAttributes() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Get the attributes of this algorithm instance.
getAttributes() - Method in class org.lenskit.eval.traintest.DataSet: Get the data set attributes (used for identification in output).
getAttributes() - Method in class org.lenskit.eval.traintest.DataSetBuilder
getAttributes() - Method in class org.lenskit.eval.traintest.MultiAlgorithmDSL
getBaseId() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Get the base entity ID for this source.
getBaselineScorer() - Method in class org.lenskit.basic.FallbackItemScorer: Get the baseline scorer from this item scorer.
getBaseURI() - Method in class org.lenskit.config.LenskitConfigDSL: Get the base URL for this configuration.
getBindings() - Method in class org.lenskit.LenskitConfiguration
getBoolean(AbstractBeanEntity) - Method in class org.lenskit.data.entities.AbstractBeanEntity.BeanAttributeGetter
getBoolean(TypedName<Boolean>) - Method in class org.lenskit.data.entities.AbstractBeanEntity
getBoolean(TypedName<Boolean>) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of a attr that contains a boolean.
getBoolean(TypedName<Boolean>) - Method in interface org.lenskit.data.entities.Entity: Get the value of a attr that contains a boolean.
getCache() - Method in class org.lenskit.basic.SimpleCachingItemScorer
getCacheDirectory() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the cache directory for model components.
getCandidateNeighbors(long, LongSet) - Method in class org.lenskit.knn.user.LiveNeighborFinder
getCandidateNeighbors(long, LongSet) - Method in interface org.lenskit.knn.user.NeighborFinder: Get potential neighbors for a particular user.
getCandidateNeighbors(long, LongSet) - Method in class org.lenskit.knn.user.SnapshotNeighborFinder
getCandidateSelector() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the active candidate selector.
getChildCount() - Method in class org.lenskit.util.monitor.TrackedJob: Get the number of children.
getChildrenFinished() - Method in class org.lenskit.util.monitor.TrackedJob: Get the number of finished children.
getChildrenRunning() - Method in class org.lenskit.util.monitor.TrackedJob: Get the number of running children.
getClassLoader() - Method in class org.lenskit.cli.util.ScriptEnvironment: Get the class loader for this script environment.
getClassLoader() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the class loader for this experiment.
getClassLoader() - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Get the class loader this builder will use.
getClassLoader() - Method in class org.lenskit.LenskitRecommenderEngineLoader: Get the configured class loader.
getClasspath() - Method in class org.lenskit.cli.util.ScriptEnvironment: Get the classpath.
getColumnCount() - Method in class org.lenskit.util.table.TableLayout: Get the number of columns in this layout.
getColumnCount() - Method in class org.lenskit.util.table.TableLayoutBuilder: Get the number of columns currently in the layout.
getColumnLabels() - Method in class org.lenskit.eval.traintest.metrics.Metric: Get the labels for the per-user or per-result columns output by this metric.
getColumnList() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Get the list of columns, if DelimitedColumnEntityFormat.addColumn(TypedName) has been used.
getColumnName() - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric.Spec
getColumnName() - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
getColumnName() - Method in class org.lenskit.eval.traintest.recommend.TopNNDPMMetric.Spec
getColumns(Class<? extends TypedMetricResult>) - Static method in class org.lenskit.eval.traintest.metrics.TypedMetricResult: Get the columns for a typed metric result class.
getColumns(Class<? extends TypedMetricResult>, String) - Static method in class org.lenskit.eval.traintest.metrics.TypedMetricResult: Get the columns for a typed metric result class.
getColumns() - Method in class org.lenskit.util.table.TableLayout: Get the headers of the columns.
getCommonAttributes() - Method in class org.lenskit.data.entities.EntityDefaults: Get the set of attributes that can typically be associated with this entity type.
getComponent(Class<T>) - Method in class org.lenskit.LenskitRecommenderEngine: Get the component of a particular type, if one is already instantiated.
getCompressorName() - Method in enum org.lenskit.util.io.CompressionMode
getConditionColumnCount() - Method in class org.lenskit.eval.traintest.ExperimentOutputLayout
getConditionLayout() - Method in class org.lenskit.eval.traintest.ExperimentOutputLayout
getConfig() - Method in class org.lenskit.config.LenskitConfigDSL: Get the LensKit configuration being configured.
getConfig() - Method in class org.lenskit.config.LenskitConfigScript
getConfig() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Get the LensKit configuration.
getConfigFiles() - Method in class org.lenskit.cli.util.RecommenderLoader
getConfigLoader() - Method in class org.lenskit.config.LenskitConfigDSL: Get the configuration loader associated with this DSL (used to power the #include(java.io.File) method).
getConfiguration() - Method in class org.lenskit.cli.util.InputData
getConfigurations() - Method in class org.lenskit.eval.traintest.AlgorithmInstance: Get the recommender configurations.
getConfigurations() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Get the list of configurations that comprise this instance.
getContext() - Method in class org.lenskit.config.BindingDSL: Get the LensKit context.
getContinueAfterError() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Query whether this task will continue in the face of an error.
getContinueAfterError() - Method in class org.lenskit.util.parallel.TaskGroup
getCoratings(long, long) - Method in class org.lenskit.slopeone.SlopeOneModel
getCount() - Method in interface org.lenskit.transform.quantize.Quantizer: Get the number of discrete values the output can take.
getCount() - Method in class org.lenskit.transform.quantize.ValueArrayQuantizer
getCount() - Method in class org.lenskit.util.math.MutualInformationAccumulator: Get the number of events.
getCoverage() - Method in class org.lenskit.eval.traintest.predict.CoveragePredictMetric.Coverage
getDamping() - Method in class org.lenskit.transform.normalize.MeanVarianceNormalizer: Get the damping term.
getDAO() - Method in class org.lenskit.cli.util.InputData: Get the data access object from the input data.
getDataAccessObject() - Method in class org.lenskit.LenskitRecommender: Get the data access object from this recommender.
getDataColumn(String) - Method in class org.lenskit.eval.traintest.ExperimentOutputLayout
getDataSets() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the train-test splits as data sets.
getDataSets() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the list of data sets to use.
getDefaultBuilder() - Method in class org.lenskit.data.entities.EntityDefaults: Get the default entity builder for this entity type.
getDefaultCachePolicy() - Method in class org.lenskit.inject.PlaceholderSatisfaction
getDefaultColumns() - Method in class org.lenskit.data.entities.EntityDefaults: Get the default columns for an entity type.
getDefaultDerivations() - Method in class org.lenskit.data.entities.EntityDefaults: Get the default entity derivations.
getDefaultExcludes(LongSet) - Method in class org.lenskit.basic.TopNItemBasedItemRecommender: Get the default exclude set for a item in the global recommendation.
getDefaultExcludes(long) - Method in class org.lenskit.basic.TopNItemRecommender: Get the default exclude set for a user.
getDefinedAttributes() - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Get the attributes expected.
getDelegate() - Method in class org.lenskit.config.LenskitConfigScript: Get the delegate.
getDelegate() - Method in class org.lenskit.similarity.SignificanceWeightedVectorSimilarity: Get the underlying similarity (for debuggin purposes).
getDelimiter(Namespace) - Static method in class org.lenskit.cli.commands.Crossfold
getDelimiter() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Get the delimiter for the entity format.
getDependencies() - Method in class org.lenskit.inject.PlaceholderSatisfaction
getDescription() - Method in class org.lenskit.util.monitor.TrackedJob
getDeviation(long, long) - Method in class org.lenskit.slopeone.SlopeOneModel
getDirectory() - Method in class org.lenskit.config.ConfigurationLoader
getDiscount() - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric.Spec
getDiscount() - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
getDistribution() - Method in class org.lenskit.predict.ordrec.OrdRecRatingPredictor.FullResult: Get the probability distribution from this result.
getDomain() - Method in class org.lenskit.util.keys.LongSortedArraySet: Deprecated.
Use LongSortedArraySet.getIndex().
getDouble(AbstractBeanEntity) - Method in class org.lenskit.data.entities.AbstractBeanEntity.BeanAttributeGetter
getDouble(TypedName<Double>) - Method in class org.lenskit.data.entities.AbstractBeanEntity
getDouble(TypedName<Double>) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of a attr that contains a double.
getDouble(TypedName<Double>) - Method in interface org.lenskit.data.entities.Entity: Get the value of a attr that contains a double.
getEffectiveCompressionMode(String) - Method in enum org.lenskit.util.io.CompressionMode: Get the effective compression mode.
getEntityBuilder() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Get the entity builder class.
getEntityBuilder() - Method in interface org.lenskit.data.dao.file.EntityFormat: Get the entity builder that this format will use.
getEntityBuilder() - Method in class org.lenskit.data.dao.file.EntitySource.Layout
getEntityBuilder() - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Get the entity builder class.
getEntityIds(EntityType) - Method in interface org.lenskit.data.dao.DataAccessObject: Get the IDs of all entities with a particular type.
getEntityIds(EntityType) - Method in class org.lenskit.data.dao.EntityCollectionDAO
getEntityType() - Method in class org.lenskit.data.dao.EntityQuery: Get the entity type to return.
getEntityType() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Get the entity type.
getEntityType() - Method in interface org.lenskit.data.dao.file.EntityFormat: Get the type of entities returned by this format.
getEntityType() - Method in class org.lenskit.data.dao.file.EntitySource.Layout
getEntityType() - Method in class org.lenskit.data.dao.file.JSONEntityFormat
getEntityType() - Method in class org.lenskit.data.entities.EntityDefaults: Get the entity type this set of defaults describes.
getEntityType() - Method in class org.lenskit.data.ratings.AbstractRatingVectorPDAO: Get the desired type of entities.
getEntityType() - Method in class org.lenskit.data.ratings.CountSumRatingVectorPDAO
getEntityType() - Method in class org.lenskit.data.ratings.EntityCountRatingVectorPDAO
getEntityType() - Method in class org.lenskit.data.ratings.InteractionStatistics: Get the interaction entity type.
getEntityType() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the entity type that this crossfolder will crossfold.
getEntityTypes() - Method in interface org.lenskit.data.dao.DataAccessObject: Get the types of entities that are available in this DAO.
getEntityTypes() - Method in class org.lenskit.data.dao.EntityCollectionDAO
getEntityTypes() - Method in class org.lenskit.data.dao.EntityCollectionDAOBuilder: Get the entity types registered with this builder so far.
getEntityTypes() - Method in class org.lenskit.eval.traintest.DataSet: Get the entity types registered with this builder so far.
getErasedType() - Method in class org.lenskit.inject.PlaceholderSatisfaction
getEventBus() - Method in class org.lenskit.util.monitor.TrackedJob
getException() - Method in class org.lenskit.util.monitor.JobEvent.Failed: Get the exception associated with this failure, if any.
getException() - Method in class org.lenskit.util.monitor.TrackedJob: Get the exception with which this job failed.
getExcludeSelector() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the active exclude selector.
getExpectedSteps() - Method in class org.lenskit.util.monitor.TrackedJob: Get the estimated number of steps.
getExperiment() - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Provides raw unrestricted access to the experiment.
getExtendedOutputFile() - Method in class org.lenskit.eval.temporal.TemporalEvaluator: Get the output file for extended output (lines of JSON).
getExtension() - Method in enum org.lenskit.data.output.OutputFormat: Get the file extension for the output format.
getExtraConfiguration() - Method in class org.lenskit.eval.traintest.DataSet: Get extra LensKit configuration required by this data set.
getF1() - Method in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric.PresRecResult
getFile() - Method in class org.lenskit.data.dao.file.TextEntitySource: Get the input file path.
getFilterFields() - Method in class org.lenskit.data.dao.EntityQuery: Get the field filters.
getFinalResult() - Method in class org.lenskit.results.RescoredResult: Get the final result (after rescoring).
getFormat() - Method in class org.lenskit.data.dao.file.TextEntitySource: Get the entity format for the reader.
getGainAttribute() - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
getGlobalColumns() - Method in interface org.lenskit.eval.traintest.EvalTask: Get columns that will go in the aggregate output file.
getGlobalColumns() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask
getGlobalColumns() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask
getGlobalMean() - Method in class org.lenskit.data.ratings.RatingSummary
getGlobalVariance() - Method in class org.lenskit.transform.normalize.MeanVarianceNormalizer: Get the global variance.
getGoodItems() - Method in class org.lenskit.eval.traintest.recommend.PRMetricSpec
getGraph() - Method in class org.lenskit.inject.RecommenderInstantiator: Get the graph from this instantiator.
getGraph() - Method in class org.lenskit.LenskitRecommenderEngine: Get the dependency graph of the recommender engine.
getHalfLife() - Method in class org.lenskit.eval.traintest.metrics.ExponentialDiscount: Get the half-life of the discount function.
getHeaderLines() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Get the number of header lines to read.
getHeaderLines() - Method in interface org.lenskit.data.dao.file.EntityFormat: Get the number of header lines this format uses.
getHeaderLines() - Method in class org.lenskit.data.dao.file.JSONEntityFormat
getHeadRevision() - Static method in class org.lenskit.LenskitInfo: Get the HEAD revision from which LensKit was built.
getHelp() - Method in interface org.lenskit.cli.Command: Get the command’s help.
getHelp() - Method in class org.lenskit.cli.commands.Crossfold
getHelp() - Method in class org.lenskit.cli.commands.GlobalRecommend
getHelp() - Method in class org.lenskit.cli.commands.Graph
getHelp() - Method in class org.lenskit.cli.commands.Predict
getHelp() - Method in class org.lenskit.cli.commands.Recommend
getHelp() - Method in class org.lenskit.cli.commands.RunScript
getHelp() - Method in class org.lenskit.cli.commands.Simulate
getHelp() - Method in class org.lenskit.cli.commands.TrainModel
getHelp() - Method in class org.lenskit.cli.commands.TrainTest
getHelp() - Method in class org.lenskit.cli.commands.Version
getHints() - Method in exception org.lenskit.RecommenderConfigurationException
getId() - Method in interface org.lenskit.api.Result: Get the ID for the result.
getId() - Method in class org.lenskit.basic.FallbackResult
getId() - Method in class org.lenskit.basic.SimpleCachingItemScorer
getId() - Method in class org.lenskit.data.entities.AbstractEntity
getId() - Method in interface org.lenskit.data.entities.Entity: Get the identifier of this entity.
getId() - Method in class org.lenskit.data.ratings.RatingBuilder: Get the rating ID.
getId() - Method in class org.lenskit.results.AbstractResult
getId() - Method in class org.lenskit.results.RescoredResult
getId() - Method in class org.lenskit.util.IdBox: Get the ID associated with the object.
getIndex() - Method in class org.lenskit.data.ratings.RatingMatrixEntry: Get the index of this rating in the list of ratings in the matrix.
getIndex(long) - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
getIndex(long) - Method in class org.lenskit.util.keys.HashKeyIndex
getIndex(long) - Method in interface org.lenskit.util.keys.KeyIndex: Get the index of a key.
getIndex() - Method in class org.lenskit.util.keys.LongSortedArraySet: Get the underlying key index implementation.
getIndex(long) - Method in class org.lenskit.util.keys.SortedKeyIndex
getIndexValue(int) - Method in interface org.lenskit.transform.quantize.Quantizer: Get the value corresponding to a quantized value, based on the index into the list of possible values.
getIndexValue(int) - Method in class org.lenskit.transform.quantize.ValueArrayQuantizer
getInnerResult() - Method in class org.lenskit.basic.FallbackResult: Get the result from the scorer that produced this score.
getInstance(Class<T>) - Method in class org.lenskit.inject.StaticInjector
getInstance(Annotation, Class<T>) - Method in class org.lenskit.inject.StaticInjector
getInstances() - Method in class org.lenskit.eval.traintest.MultiAlgorithmDSL
getInt(AbstractBeanEntity) - Method in class org.lenskit.data.entities.AbstractBeanEntity.BeanAttributeGetter
getInteger(TypedName<Integer>) - Method in class org.lenskit.data.entities.AbstractBeanEntity
getInteger(TypedName<Integer>) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of a attr that contains a int.
getInteger(TypedName<Integer>) - Method in interface org.lenskit.data.entities.Entity: Get the value of a attr that contains a int.
getInteractionCount(long) - Method in class org.lenskit.data.ratings.InteractionStatistics: Get the number of interactions for an item.
getIntercept() - Method in interface org.lenskit.bias.BiasModel: Get the global bias (intercept).
getIntercept() - Method in class org.lenskit.bias.GlobalBiasModel
getIntercept() - Method in class org.lenskit.bias.LiveUserItemBiasModel
getIntercept() - Method in class org.lenskit.bias.UserItemBiasModel
getIsolationGroup() - Method in class org.lenskit.eval.traintest.DataSet: Get the isolation group ID for this data set.
getItemBasedItemRecommender() - Method in interface org.lenskit.api.Recommender: Get the recommender’s item-based item recommender.
getItemBasedItemRecommender() - Method in class org.lenskit.LenskitRecommender
getItemBasedItemScorer() - Method in interface org.lenskit.api.Recommender: Get the recommender’s item-based item scorer.
getItemBasedItemScorer() - Method in class org.lenskit.LenskitRecommender
getItemBias(long) - Method in interface org.lenskit.bias.BiasModel: Get the item bias.
getItemBias(long) - Method in class org.lenskit.bias.GlobalBiasModel
getItemBias(long) - Method in class org.lenskit.bias.LiveUserItemBiasModel
getItemBias(long) - Method in class org.lenskit.bias.UserItemBiasModel
getItemBiases(LongSet) - Method in interface org.lenskit.bias.BiasModel: Get a set of item biases.
getItemBiases() - Method in interface org.lenskit.bias.BiasModel: Get the map of all known item biases.
getItemBiases(LongSet) - Method in class org.lenskit.bias.GlobalBiasModel
getItemBiases() - Method in class org.lenskit.bias.GlobalBiasModel
getItemBiases(LongSet) - Method in class org.lenskit.bias.LiveUserItemBiasModel
getItemBiases() - Method in class org.lenskit.bias.LiveUserItemBiasModel
getItemBiases(LongSet) - Method in class org.lenskit.bias.UserItemBiasModel
getItemBiases() - Method in class org.lenskit.bias.UserItemBiasModel
getItemId() - Method in interface org.lenskit.data.ratings.Preference: Get the ID of the item the preference is for.
getItemId() - Method in class org.lenskit.data.ratings.Rating
getItemId() - Method in class org.lenskit.data.ratings.RatingBuilder: Get the item ID.
getItemId() - Method in class org.lenskit.data.ratings.RatingMatrixEntry: Get the item ID for this rating matrix entry.
getItemIds() - Method in class org.lenskit.data.ratings.PackedRatingMatrix
getItemIds() - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the set of item IDs in the snapshot.
getItemIndex() - Method in class org.lenskit.data.ratings.RatingMatrixEntry: Get the 0-based item index for this rating matrix entry.
getItemMean(long) - Method in class org.lenskit.data.ratings.RatingSummary: Get the mean rating for an item.
getItemOffets() - Method in class org.lenskit.data.ratings.RatingSummary
getItemOffset(long) - Method in class org.lenskit.data.ratings.RatingSummary: Get the item’s average offset from global mean.
getItemOutputFile() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the output file for writing per-target-item results.
getItemRatingCount(long) - Method in class org.lenskit.data.ratings.RatingSummary: Get the number of ratings for the item.
getItemRecommender() - Method in interface org.lenskit.api.Recommender: Get the recommender’s item recommender.
getItemRecommender() - Method in class org.lenskit.LenskitRecommender
getItems() - Method in class org.lenskit.data.ratings.RatingSummary
getItems() - Method in class org.lenskit.knn.item.model.ItemItemBuildContext: Get the set of items.
getItemsByPopularity() - Method in class org.lenskit.data.ratings.InteractionStatistics: Get the list of items by decreasing popularity.
getItemScorer() - Method in interface org.lenskit.api.Recommender: Get the recommender’s item scorer.
getItemScorer() - Method in class org.lenskit.basic.SimpleRatingPredictor
getItemScorer() - Method in class org.lenskit.LenskitRecommender
getItemUniverse() - Method in interface org.lenskit.knn.item.model.ItemItemModel: Get the set of all items in the model.
getItemUniverse() - Method in class org.lenskit.knn.item.model.SimilarityMatrixModel
getItemUsers(long) - Method in class org.lenskit.knn.user.UserSnapshot
getIterationCount() - Method in class org.grouplens.lenskit.iterative.IterationCountStoppingCondition: Get the number of iterations the stopper requires.
getIterationCount() - Method in interface org.grouplens.lenskit.iterative.TrainingLoopController: Get the current iteration count.
getJacksonType() - Method in class org.lenskit.data.entities.TypedName: Get a Jackson JavaType for this typed name.
getJob() - Method in class org.lenskit.util.monitor.JobEvent.Failed: Get the job in this event.
getJob() - Method in class org.lenskit.util.monitor.JobEvent.Finished: Get the job in this event.
getJob() - Method in class org.lenskit.util.monitor.JobEvent.ProgressUpdate: Get the job in this event.
getJob() - Method in class org.lenskit.util.monitor.JobEvent.Started: Get the job in this event.
getKey() - Method in class org.lenskit.results.AbstractResult
getKey() - Method in class org.lenskit.util.IdBox
getKey(int) - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
getKey(int) - Method in class org.lenskit.util.keys.HashKeyIndex
getKey() - Method in interface org.lenskit.util.keys.KeyedObject: Get the key for this object.
getKey(T) - Method in interface org.lenskit.util.keys.KeyExtractor: Get the key for an object.
getKey(int) - Method in interface org.lenskit.util.keys.KeyIndex: Get the key for an index position.
getKey(int) - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the key at an index.
getKeyByIndex(int) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Get a key by its position in the map.
getKeyList() - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
getKeyList() - Method in class org.lenskit.util.keys.HashKeyIndex
getKeyList() - Method in interface org.lenskit.util.keys.KeyIndex: Get the list of indexed keys.
getKeyList() - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the key set’s list of keys (domain) as a list.
getKnownItems() - Method in class org.lenskit.data.ratings.InteractionStatistics: Get the set of known items.
getLabelPrefix() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the prefix applied to column labels.
getLayout() - Method in interface org.lenskit.data.dao.file.EntitySource: Get this entity source’s layout, if one is available.
getLayout() - Method in class org.lenskit.data.dao.file.TextEntitySource
getLayout() - Method in interface org.lenskit.util.table.Table: Get the layout of this table.
getLayout() - Method in class org.lenskit.util.table.TableBuilder
getLayout() - Method in class org.lenskit.util.table.writer.CSVWriter
getLayout() - Method in class org.lenskit.util.table.writer.DevNullTableWriter
getLayout() - Method in class org.lenskit.util.table.writer.MultiplexedTableWriter
getLayout() - Method in interface org.lenskit.util.table.writer.TableWriter: Get the layout of this table.
getLeft() - Method in class org.lenskit.hybrid.RankBlendResult: Get the left result.
getLeftRank() - Method in class org.lenskit.hybrid.RankBlendResult: Get the left rank.
getLineNumber() - Method in class org.lenskit.util.io.LineStream: Return the number of the line returned by the last call to LineStream.readObject().
getListSize() - Method in class org.lenskit.eval.temporal.TemporalEvaluator
getListSize() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the list size to use.
getLogBase() - Method in class org.lenskit.eval.traintest.metrics.LogDiscount: Get the log base from the discount.
getLong(AbstractBeanEntity) - Method in class org.lenskit.data.entities.AbstractBeanEntity.BeanAttributeGetter
getLong(TypedName<Long>) - Method in class org.lenskit.data.entities.AbstractBeanEntity
getLong(TypedName<Long>) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of a attribute that contains a long.
getLong(TypedName<Long>) - Method in interface org.lenskit.data.entities.Entity: Get the value of a attribute that contains a long.
getLong(int) - Method in class org.lenskit.util.collections.CompactableLongArrayList
getLowerBound() - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
getLowerBound() - Method in class org.lenskit.util.keys.HashKeyIndex
getLowerBound() - Method in interface org.lenskit.util.keys.KeyIndex: Get the lower bound of the index range for this index.
getLowerBound() - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the lower bound of this index.
getMaximum() - Method in class org.lenskit.data.ratings.PreferenceDomain: The maximum preference value.
getMaximum() - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder: Get the maximum preference.
getMetadata() - Method in interface org.lenskit.data.dao.file.EntitySource: Get metadata from this entity source.
getMetadata() - Method in class org.lenskit.data.dao.file.TextEntitySource
getMethod() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the method to be used for crossfolding.
getMetricTypeName(JsonNode) - Method in class org.lenskit.eval.traintest.metrics.MetricLoaderHelper: Get the metric type name from a node.
getMinimum() - Method in class org.lenskit.data.ratings.PreferenceDomain: The minimum preference value.
getMinimum() - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder: Get the minimum preference.
getMinimumIterations() - Method in class org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition: Get the minimum iteration count.
getMinimumIterations() - Method in class org.grouplens.lenskit.iterative.ThresholdStoppingCondition: Get the minimum iteration count.
getModel() - Method in class org.lenskit.slopeone.SlopeOneItemScorer
getMutualInformation() - Method in class org.lenskit.util.math.MutualInformationAccumulator: Get the mutual information.
getName() - Method in interface org.lenskit.cli.Command: Get the name of the command.
getName() - Method in class org.lenskit.cli.commands.Crossfold
getName() - Method in class org.lenskit.cli.commands.GlobalRecommend
getName() - Method in class org.lenskit.cli.commands.Graph
getName() - Method in class org.lenskit.cli.commands.Predict
getName() - Method in class org.lenskit.cli.commands.Recommend
getName() - Method in class org.lenskit.cli.commands.RunScript
getName() - Method in class org.lenskit.cli.commands.Simulate
getName() - Method in class org.lenskit.cli.commands.TrainModel
getName() - Method in class org.lenskit.cli.commands.TrainTest
getName() - Method in class org.lenskit.cli.commands.Version
getName() - Method in interface org.lenskit.data.dao.file.EntitySource: Get the name of this entity source.
getName() - Method in class org.lenskit.data.dao.file.StaticDataSource: Get the name of this source.
getName() - Method in class org.lenskit.data.dao.file.TextEntitySource: Get the name of this data source.
getName() - Method in class org.lenskit.data.entities.Attribute: Get the attribute’s name.
getName() - Method in class org.lenskit.data.entities.EntityType: Get the name of this entity type.
getName() - Method in class org.lenskit.data.entities.TypedName: Get the underlying name.
getName() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the visible name of this crossfold split.
getName() - Method in class org.lenskit.eval.traintest.AlgorithmInstance: Get the name of this algorithm.
getName() - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Get the algorithm name.
getName() - Method in class org.lenskit.eval.traintest.DataSet: Get the data set name.
getName() - Method in class org.lenskit.eval.traintest.DataSetBuilder
getNeighborhoodSize() - Method in class org.lenskit.knn.item.ItemItemResult: Get the number of neighbors used to score this item.
getNeighborhoodSize() - Method in class org.lenskit.knn.user.UserUserResult: Get the neighborhood size for this result.
getNeighbors(long) - Method in interface org.lenskit.knn.item.model.ItemItemModel: Get the neighbors of an item scored by similarity.
getNeighbors(long) - Method in class org.lenskit.knn.item.model.SimilarityMatrixModel
getNeighborWeight() - Method in class org.lenskit.knn.item.ItemItemResult: Get the total weight of the neighborhood.
getNormalizedUserVector(long) - Method in class org.lenskit.knn.user.UserSnapshot: Get a user vector normalized for similarity computations.
getNormalizer() - Method in class org.lenskit.knn.item.ItemItemScorer
getOrder() - Method in class org.lenskit.data.dao.SortKey: Get the sort order.
getOrdering() - Method in class org.lenskit.data.dao.EntityQuery: Get the sort order as an ordering.
getOriginalResult() - Method in class org.lenskit.predict.ordrec.OrdRecRatingPredictor.FullResult: Get the original result.
getOriginalResult() - Method in class org.lenskit.results.RescoredResult: Get the original result (before rescoring).
getOutputDir() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the output directory.
getOutputFile() - Method in class org.lenskit.eval.temporal.TemporalEvaluator
getOutputFile() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask: Get the output file for writing predictions.
getOutputFile() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the output file for writing recommendations.
getOutputFile() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the primary output file.
getOutputFormat() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the output format for the crossfolder.
getOutputLayout() - Method in class org.lenskit.eval.traintest.TrainTestExperiment
getPackages(String) - Method in class org.lenskit.util.ClassDirectory: Get the packages that contain a class with the specified name.
getParallelTasks() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the number of evaluation tasks to permit to run in parallel.
getParent() - Method in class org.lenskit.util.monitor.TrackedJob: Get the parent job.
getParsedDiscount() - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric.Spec
getParsedDiscount() - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
getPartitionCount() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the partition count.
getPlaceholderNodes(DAGNode<Component, Dependency>) - Static method in class org.lenskit.inject.GraphtUtils: Get the placeholder nodes from a graph.
getPrecision() - Method in class org.lenskit.data.ratings.PreferenceDomain: The precision of preference values.
getPrecision() - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder: Get the preference precision.
getPredictableItems(long) - Method in class org.lenskit.basic.TopNItemRecommender: Determine the items for which predictions can be made for a certain user.
getPredictMetrics() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask: Get the list of prediction metrics.
getPreferenceDomain() - Method in class org.lenskit.basic.SimpleRatingPredictor
getPreferenceDomain() - Method in class org.lenskit.data.dao.file.StaticDataSource
getPreferenceDomain() - Method in class org.lenskit.transform.quantize.PreferenceDomainQuantizer
getPrimaryScorer() - Method in class org.lenskit.basic.FallbackItemScorer: Get the primary scorer from this item scorer.
getProperties() - Method in class org.lenskit.cli.util.ScriptEnvironment: Get the properties defined by the command line.
getRating() - Method in class org.lenskit.data.ratings.RatingBuilder: Get the rating.
getRatingPredictor() - Method in interface org.lenskit.api.Recommender: Get the recommender’s rating scorer.
getRatingPredictor() - Method in class org.lenskit.LenskitRecommender
getRatings() - Method in class org.lenskit.data.ratings.PackedRatingMatrix
getRatings() - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the collection of ratings in the snapshot.
getRawType() - Method in class org.lenskit.data.entities.TypedName: Get the raw type (class).
getRebuildPeriod() - Method in class org.lenskit.eval.temporal.TemporalEvaluator
getRecipRank() - Method in class org.lenskit.eval.traintest.recommend.TopNMRRMetric.UserResult
getRecommender() - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript: Get the recommender object.
getReportingInterval() - Method in class org.lenskit.util.monitor.TrackedJob: Get the reporting interval for firing progress update messages.
getRequiredRoots() - Method in interface org.lenskit.eval.traintest.EvalTask: Get the root types required by this evaluation.
getRequiredRoots() - Method in class org.lenskit.eval.traintest.metrics.Metric: Get the classes on which this metric depends.
getRequiredRoots() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask
getRequiredRoots() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask
getRequiredRoots() - Method in class org.lenskit.eval.traintest.recommend.TopNPopularityMetric
getRevisions() - Static method in class org.lenskit.LenskitInfo: Get the set of revisions LensKit is built from.
getRight() - Method in class org.lenskit.hybrid.RankBlendResult: Get the right result.
getRightRank() - Method in class org.lenskit.hybrid.RankBlendResult: Get the right rank
getRoots() - Method in class org.lenskit.LenskitConfiguration
getRuntimeData() - Method in class org.lenskit.eval.traintest.DataSet: Get the runtime data set.
getScore() - Method in interface org.lenskit.api.Result: Get the score (value) associated with this result.
getScore(long) - Method in interface org.lenskit.api.ResultMap: Get the score associated with an ID.
getScore() - Method in class org.lenskit.basic.FallbackResult
getScore() - Method in class org.lenskit.results.AbstractResult
getScore(long) - Method in class org.lenskit.results.BasicResultMap
getScore() - Method in class org.lenskit.results.RescoredResult
getScorer() - Method in class org.lenskit.basic.TopNItemRecommender
getSeenItems() - Method in class org.lenskit.eval.traintest.TestUser: The set of items this user has seen in either training or test.
getSeparateItems() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Query whether this task will separate items.
getShareableNodes(DAGNode<Component, Dependency>) - Static method in class org.lenskit.inject.GraphtUtils: Find the set of shareable nodes (objects that will be replaced with instance satisfactions in the final graph).
getShareModelComponents() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Query whether this experiment will cache and share components.
getSortKeys() - Method in class org.lenskit.data.dao.EntityQuery: Get the sort keys.
getSortKeys() - Method in class org.lenskit.data.store.EntityCollection: Get the sort keys, if this collection stores attributes in sorted order.
getSource() - Method in class org.lenskit.cli.util.InputData
getSource() - Method in class org.lenskit.eval.crossfold.Crossfolder: Get the data source backing this crossfold manager.
getSource() - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.GroovyItemSelector: Get the Groovy source of this item selector.
getSources() - Method in class org.lenskit.data.dao.file.StaticDataSource: Get the list of entity sources.
getSourcesForType(EntityType) - Method in class org.lenskit.data.dao.file.StaticDataSource: Get the entity sources producing a particular type.
getSourceType() - Method in class org.lenskit.data.entities.EntityDerivation: Get the source types for the derivation.
getStagingFile() - Method in class org.lenskit.util.io.StagedWrite: Get the working file for this staging file.
getStepsDone() - Method in class org.lenskit.util.monitor.JobEvent.ProgressUpdate: Get the number of steps done.
getStepsFinished() - Method in class org.lenskit.util.monitor.TrackedJob: Get the number of finished steps.
getSuffix() - Method in class org.lenskit.eval.traintest.recommend.PRMetricSpec
getSupportedSourceVersion() - Method in class org.lenskit.inject.LenskitAnnotationProcessor
getTargetFile() - Method in class org.lenskit.util.io.StagedWrite: Get the target file for this staging file.
getTasks() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the eval tasks to be used in this experiment.
getTestData() - Method in class org.lenskit.eval.traintest.DataSet: Get the training data.
getTestHistory() - Method in class org.lenskit.eval.traintest.TestUser: Return this user’s test history.
getTestItems() - Method in class org.lenskit.eval.traintest.TestUser
getTestRatings() - Method in class org.lenskit.eval.traintest.TestUser: Get the user’s test ratings.
getThreadCount() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the number of threads that the experiment may use.
getThreshold() - Method in class org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition: Get the stopper’s threshold.
getThreshold() - Method in class org.grouplens.lenskit.iterative.ThresholdStoppingCondition: Get the stopper’s threshold.
getTimer() - Method in class org.lenskit.util.monitor.TrackedJob: Get the timer for this job.
getTimestamp() - Method in class org.lenskit.data.ratings.Rating
getTimestamp() - Method in class org.lenskit.data.ratings.Rating.WithTimestamp
getTimestamp() - Method in class org.lenskit.data.ratings.RatingBuilder: Get the timestamp.
getTopNMetrics() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Get the list of prediction metrics.
getTotalNeighborWeight() - Method in class org.lenskit.knn.user.UserUserResult: Get the total neighbor weight for this result.
getTotalSteps() - Method in class org.lenskit.util.monitor.JobEvent.ProgressUpdate: Get the total steps.
getTrainHistory() - Method in class org.lenskit.eval.traintest.TestUser: Return this user’s training history.
getTrainingData() - Method in class org.lenskit.eval.traintest.DataSet: Get the training data.
getTrainItems() - Method in class org.lenskit.eval.traintest.TestUser
getType() - Method in class org.lenskit.data.entities.AbstractEntity
getType() - Method in class org.lenskit.data.entities.Attribute: Get the attribute’s type.
getType() - Method in interface org.lenskit.data.entities.Entity: Get the type of this entity.
getType() - Method in class org.lenskit.data.entities.EntityDerivation: Get the entity type to be derived.
getType() - Method in class org.lenskit.data.entities.TypedName: Get the type.
getType() - Method in class org.lenskit.data.store.EntityCollection: Get the type of entity stored in this collection.
getType() - Method in class org.lenskit.inject.PlaceholderSatisfaction
getType() - Method in class org.lenskit.util.monitor.TrackedJob
getTypedAttributeNames() - Method in class org.lenskit.data.entities.AbstractBeanEntity
getTypedAttributeNames() - Method in interface org.lenskit.data.entities.Entity: Get the attributes in this entity.
getTypedName() - Method in class org.lenskit.data.entities.Attribute: Get the attribute’s typed name.
getTypes() - Method in interface org.lenskit.data.dao.file.EntitySource: Get the entity types produced by this source.
getTypes() - Method in class org.lenskit.data.dao.file.TextEntitySource
getUnseenItems(TestUser) - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript: Method that returns all items except the ones present in the user’s test or train sets.
getUpperBound() - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
getUpperBound() - Method in class org.lenskit.util.keys.HashKeyIndex
getUpperBound() - Method in interface org.lenskit.util.keys.KeyIndex: Get the upper bound of the index range for this index.
getUpperBound() - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the upper bound of this index.
getURL() - Method in class org.lenskit.data.dao.file.TextEntitySource: Get the source file for this data source.
getUser() - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript: Get the user being tested.
getUser() - Method in class org.lenskit.eval.traintest.TestUser
getUserBias(long) - Method in interface org.lenskit.bias.BiasModel: Get the user bias.
getUserBias(long) - Method in class org.lenskit.bias.GlobalBiasModel
getUserBias(long) - Method in class org.lenskit.bias.LiveUserItemBiasModel
getUserBias(long) - Method in class org.lenskit.bias.UserItemBiasModel
getUserBiases(LongSet) - Method in interface org.lenskit.bias.BiasModel: Get a set of user biases.
getUserBiases() - Method in interface org.lenskit.bias.BiasModel: Get the map of all known user biases.
getUserBiases(LongSet) - Method in class org.lenskit.bias.GlobalBiasModel
getUserBiases() - Method in class org.lenskit.bias.GlobalBiasModel
getUserBiases(LongSet) - Method in class org.lenskit.bias.LiveUserItemBiasModel
getUserBiases() - Method in class org.lenskit.bias.LiveUserItemBiasModel: Return an empty map.
getUserBiases(LongSet) - Method in class org.lenskit.bias.UserItemBiasModel
getUserBiases() - Method in class org.lenskit.bias.UserItemBiasModel
getUserColumns() - Method in interface org.lenskit.eval.traintest.EvalTask: Get columns that will go in the per-user output file.
getUserColumns() - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask
getUserColumns() - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask
getUserId() - Method in interface org.lenskit.data.ratings.Preference: Get the ID of the user whose preference this is.
getUserId() - Method in class org.lenskit.data.ratings.Rating
getUserId() - Method in class org.lenskit.data.ratings.RatingBuilder: Get the user ID.
getUserId() - Method in class org.lenskit.data.ratings.RatingMatrixEntry: Get the user ID for this rating matrix entry.
getUserId() - Method in class org.lenskit.eval.traintest.TestUser: Get the ID of this user.
getUserIds() - Method in class org.lenskit.data.ratings.PackedRatingMatrix
getUserIds() - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the set of user IDs in the snapshot.
getUserIndex() - Method in class org.lenskit.data.ratings.RatingMatrixEntry: Get the 0-based user index for this rating matrix entry.
getUserItems(long) - Method in class org.lenskit.knn.item.model.ItemItemBuildContext: Get the items rated by a particular user.
getUserOutputFile() - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Get the per-user output file.
getUserRatings(long) - Method in class org.lenskit.data.ratings.PackedRatingMatrix
getUserRatings(long) - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the ratings for a particular user.
getUserRatingVector(long) - Method in class org.lenskit.data.ratings.PackedRatingMatrix
getUserRatingVector(long) - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the current preferences of a particular user as a vector.
getUserVector(long) - Method in class org.lenskit.knn.user.UserSnapshot: Get a user vector normalized for score computations.
getUUID() - Method in class org.lenskit.util.monitor.TrackedJob
getV1Entropy() - Method in class org.lenskit.util.math.MutualInformationAccumulator: Get the entropy of the first variable.
getV2Entropy() - Method in class org.lenskit.util.math.MutualInformationAccumulator: Get the entropy of the second variable.
getValue() - Method in class org.grouplens.lenskit.transform.threshold.RealThreshold: Get the threshold value.
getValue() - Method in class org.lenskit.data.entities.Attribute: Get the attribute’s value.
getValue() - Method in interface org.lenskit.data.ratings.Preference: Get the preference value.
getValue() - Method in class org.lenskit.data.ratings.Rating: Get the rating value.
getValue() - Method in class org.lenskit.data.ratings.RatingMatrixEntry: Get the value of this rating matrix entry.
getValue() - Method in class org.lenskit.util.IdBox: Get the value associated with the object.
getValueByIndex(int) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Get a value by its position in the map.
getValues() - Method in class org.lenskit.eval.traintest.metrics.MetricResult: Get the column values for this metric result.
getValues() - Method in class org.lenskit.eval.traintest.metrics.TypedMetricResult
getValues() - Method in interface org.lenskit.transform.quantize.Quantizer: Get the possible values into which this quantizer will map input values.
getValues() - Method in class org.lenskit.transform.quantize.ValueArrayQuantizer
getVectorNormalizer() - Method in class org.lenskit.transform.normalize.DefaultItemVectorNormalizer: Get the underlying vector normalizer.
getVectorNormalizer() - Method in class org.lenskit.transform.normalize.DefaultUserVectorNormalizer: Get the delegate vector normalizer.
getViewType() - Method in class org.lenskit.data.dao.EntityQuery: Get the type to view results as.
getWorkDir() - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Get the working directory for the evaluator.
getWriteTimestamps() - Method in class org.lenskit.eval.crossfold.Crossfolder: Query whether timestamps will be written.
GlobalAverageRatingBiasModelProvider - Class in org.lenskit.bias: Compute a bias model with the global average rating.
GlobalAverageRatingBiasModelProvider(DataAccessObject) - Constructor for class org.lenskit.bias.GlobalAverageRatingBiasModelProvider
GlobalBiasModel - Class in org.lenskit.bias: Bias model that only uses a global bias.
GlobalBiasModel(double) - Constructor for class org.lenskit.bias.GlobalBiasModel: Construct a new global bias model.
GlobalMeanRatingItemScorer - Class in org.lenskit.baseline: Item scorer that scores every item with the global mean rating.
GlobalMeanRatingItemScorer(RatingSummary) - Constructor for class org.lenskit.baseline.GlobalMeanRatingItemScorer
GlobalRecommend - Class in org.lenskit.cli.commands: Generate Top-N non-personalized recommendations.
GlobalRecommend() - Constructor for class org.lenskit.cli.commands.GlobalRecommend
Graph - Class in org.lenskit.cli.commands: Command that draws a diagram of a recommender configuration.
Graph() - Constructor for class org.lenskit.cli.commands.Graph
GraphDumper - Class in org.lenskit.graph: Class to manage traversing nodes.
GraphtUtils - Class in org.lenskit.inject: Helper utilities for Grapht integration.
GreedyRerankingItemRecommender - Class in org.lenskit.rerank: A hybrid item recommender that uses a greedy re-ranking strategy to allow re-ranking of items iteratively.
GreedyRerankingItemRecommender(ItemRecommender, GreedyRerankStrategy) - Constructor for class org.lenskit.rerank.GreedyRerankingItemRecommender
GreedyRerankStrategy - Interface in org.lenskit.rerank: Interface for classes that select the next item to recommend from a list of candidate items.
GroovyUtils - Class in org.lenskit.config: Support utilities for LensKit’s use of Groovy.
groupBy(TypedName<Long>) - Method in interface org.lenskit.data.dao.Query: Group the results of this query by an attribute.
groupBy(String) - Method in interface org.lenskit.data.dao.Query: Group the results of this query by an attribute.
grouped(TypedName<Long>) - Method in class org.lenskit.data.store.EntityCollection: Get a grouped view of the data.
GroupedQuery<E extends Entity> - Class in org.lenskit.data.dao: Grouped query interface.
GroupingObjectStream<C,E> - Class in org.lenskit.util.io: Base class for streams that group the output of another stream.
GroupingObjectStream(ObjectStream<? extends E>) - Constructor for class org.lenskit.util.io.GroupingObjectStream

H

handleItem(E) - Method in class org.lenskit.util.io.GroupingObjectStream: Handle an item from the base stream.
hasAttribute(String) - Method in class org.lenskit.data.entities.AbstractBeanEntity
hasAttribute(TypedName<?>) - Method in class org.lenskit.data.entities.AbstractBeanEntity
hasAttribute(TypedName<?>) - Method in class org.lenskit.data.entities.AbstractEntity: Check if the entity has a attribute.
hasAttribute(String) - Method in interface org.lenskit.data.entities.Entity: Check if the entity has a field with a particular name.
hasAttribute(TypedName<?>) - Method in interface org.lenskit.data.entities.Entity: Check if the entity has a attribute.
hasCustomComparator() - Method in class org.lenskit.data.dao.SortKey: Query whether this sort key has a custom comparator.
hashCode() - Method in class org.lenskit.basic.FallbackResult
hashCode() - Method in class org.lenskit.data.dao.file.EntitySource.Layout
hashCode() - Method in class org.lenskit.data.dao.SortKey
hashCode() - Method in class org.lenskit.data.entities.AbstractEntity
hashCode() - Method in class org.lenskit.data.entities.Attribute
hashCode() - Method in class org.lenskit.data.ratings.PreferenceDomain
hashCode() - Method in class org.lenskit.eval.crossfold.FractionHistoryPartitionMethod
hashCode() - Method in class org.lenskit.eval.crossfold.HoldoutNHistoryPartitionMethod
hashCode() - Method in class org.lenskit.eval.crossfold.RetainNHistoryPartitionMethod
hashCode() - Method in class org.lenskit.eval.traintest.metrics.ExponentialDiscount
hashCode() - Method in class org.lenskit.eval.traintest.metrics.LogDiscount
hashCode() - Method in class org.lenskit.inject.PlaceholderSatisfaction
hashCode() - Method in class org.lenskit.knn.item.ItemItemResult
hashCode() - Method in class org.lenskit.knn.user.UserUserResult
hashCode() - Method in class org.lenskit.results.BasicResult
hashCode() - Method in class org.lenskit.results.BasicResultList
hashCode() - Method in class org.lenskit.results.RescoredResult
hashCode() - Method in class org.lenskit.transform.normalize.IdentityVectorNormalizer
hashCode() - Method in class org.lenskit.util.IdBox
hashCode() - Method in class org.lenskit.util.Text
HashDescriptionWriter - Class in org.lenskit.util.describe: Description writer that computes a hash of the description on the fly.
HashKeyIndex - Class in org.lenskit.util.keys: Mutable index mapping backed by a hash table.
HashKeyIndex() - Constructor for class org.lenskit.util.keys.HashKeyIndex: Construct a new empty indexer.
hashWriter(HashFunction) - Static method in class org.lenskit.util.describe.Descriptions: Create a description writer for a particular hash function.
hasInstance() - Method in class org.lenskit.inject.PlaceholderSatisfaction
hasNCommonItems(LongSortedSet, LongSortedSet, int) - Static method in class org.lenskit.util.collections.LongUtils: Check if two sets have at least a given number of common items.
hasNext() - Method in class org.lenskit.util.io.ObjectStreamIterator
hasPrecision() - Method in class org.lenskit.data.ratings.PreferenceDomain: Query whether this preference domain has a precision.
hasScore() - Method in interface org.lenskit.api.Result: Query whether the result has a score.
hasScore() - Method in class org.lenskit.basic.FallbackResult
hasScore() - Method in class org.lenskit.results.AbstractResult
hasScore() - Method in class org.lenskit.results.RescoredResult
headMap(long) - Method in class org.lenskit.util.keys.KeyedObjectMap
headMap(long) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
headSet(long) - Method in class org.lenskit.util.keys.LongSortedArraySet
HistoryPartitionMethod - Interface in org.lenskit.eval.crossfold: Partitioning algorithm for an ordered sequence of events into train and test events.
HistoryPartitions - Class in org.lenskit.eval.crossfold: Factories for creating HistoryPartitionMethod instances.
holdout(int) - Static method in class org.lenskit.eval.crossfold.HistoryPartitions: Hold out a fixed number of ratings.
holdoutFraction(double) - Static method in class org.lenskit.eval.crossfold.HistoryPartitions: Hold out a fraction of ratings.
HoldoutNHistoryPartitionMethod - Class in org.lenskit.eval.crossfold: Partition the last part of list by holding out a fixed number of elements.
HoldoutNHistoryPartitionMethod(int) - Constructor for class org.lenskit.eval.crossfold.HoldoutNHistoryPartitionMethod: Create a count partitioner.

I

id - Variable in class org.lenskit.data.entities.AbstractEntity
id - Variable in class org.lenskit.data.entities.EntityBuilder
id - Variable in class org.lenskit.results.AbstractResult
IdBox<T> - Class in org.lenskit.util: A box that associates an object with an ID.
IdBox(long, T) - Constructor for class org.lenskit.util.IdBox: Construct a new ID box.
IdentityClampingFunction - Class in org.grouplens.lenskit.transform.clamp: Identity clamping function.
IdentityClampingFunction() - Constructor for class org.grouplens.lenskit.transform.clamp.IdentityClampingFunction
IdentityVectorNormalizer - Class in org.lenskit.transform.normalize: Identity normalization (makes no change).
IdentityVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.IdentityVectorNormalizer
idKeyExtractor() - Static method in class org.lenskit.data.entities.Entities: Key extractor that keys entities by ID.
idList() - Method in interface org.lenskit.api.ResultList: Return a list of the item (or user) IDs in this result list.
idList() - Method in class org.lenskit.results.BasicResultList
idList() - Method in interface org.lenskit.results.LenskitResultList
idOrder() - Static method in class org.lenskit.results.Results: Get an ordering (comparator) that orders results by ID.
idOrdering() - Static method in class org.lenskit.data.entities.Entities: Return an ordering over entities that sorts them by ID.
idPredicate(long) - Static method in class org.lenskit.data.entities.Entities: Create a predicate that filters events for an ID.
idSet - Variable in class org.lenskit.data.entities.EntityBuilder
idSet() - Method in class org.lenskit.data.store.EntityCollection
in(Class<?>) - Method in class org.lenskit.inject.AbstractConfigContext: Deprecated.
in(Class<? extends Annotation>, Class<?>) - Method in class org.lenskit.inject.AbstractConfigContext: Deprecated.
in(Annotation, Class<?>) - Method in class org.lenskit.inject.AbstractConfigContext: Deprecated.
in(Class<?>) - Method in interface org.lenskit.LenskitConfigContext: Deprecated.
in(Class<? extends Annotation>, Class<?>) - Method in interface org.lenskit.LenskitConfigContext: Deprecated.
in(Annotation, Class<?>) - Method in interface org.lenskit.LenskitConfigContext: Deprecated.
include(Closure<?>) - Method in class org.lenskit.config.BindingDSL: Use a closure as additional configuration
include(URI) - Method in class org.lenskit.config.BindingDSL: Include another configuration file.
include(String) - Method in class org.lenskit.config.BindingDSL: Include another configuration file.
include(Module) - Method in class org.lenskit.config.BindingDSL: Include a module in this configuration.
include(URI) - Method in class org.lenskit.config.LenskitConfigDSL
includesRevision(String) - Static method in class org.lenskit.LenskitInfo: Query whether this version of LensKit includes a particular revision.
index(double) - Method in interface org.lenskit.transform.quantize.Quantizer: Convert a value into a discrete, quantized value.
index(double) - Method in class org.lenskit.transform.quantize.ValueArrayQuantizer
indexOf(Object) - Method in class org.lenskit.results.BasicResultList
init(ProcessingEnvironment) - Method in class org.lenskit.inject.LenskitAnnotationProcessor
InputData - Class in org.lenskit.cli.util: Helper class for managing input data.
InputData(ScriptEnvironment, Namespace) - Constructor for class org.lenskit.cli.util.InputData
InstanceFactory<T> - Class in org.lenskit.util.reflect: Factory function for new instances.
InstanceFactory() - Constructor for class org.lenskit.util.reflect.InstanceFactory
instantiate(DAGNode<Component, Dependency>) - Method in class org.lenskit.inject.NodeInstantiator: Instantiate a particular node in the graph.
instantiate() - Static method in class org.lenskit.inject.NodeProcessors: Create a node processor that will instantiate nodes.
instantiate(NodeInstantiator) - Static method in class org.lenskit.inject.NodeProcessors: Create a node processor that will instantiate nodes.
instantiate() - Method in class org.lenskit.inject.RecommenderInstantiator: Instantiate the recommender graph.
instantiateGraph(DAGNode<Component, Dependency>) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Instantiate the recommender graph.
InteractionEntityType - Annotation Type in org.lenskit.data.ratings: Qualifier for the type of entities that record user-item interactions.
InteractionStatistics - Class in org.lenskit.data.ratings: Interaction statistics, counting the number of times an item has been interacted with.
InteractionStatistics(EntityType, Long2IntMap) - Constructor for class org.lenskit.data.ratings.InteractionStatistics: Construct a new interaction statistics object.
InteractionStatistics.CountSumISProvider - Class in org.lenskit.data.ratings: Provider that counts item interactions.
InteractionStatistics.ISProvider - Class in org.lenskit.data.ratings: Provider that counts item interactions.
internId(long) - Method in class org.lenskit.util.keys.HashKeyIndex: Get an index for a key, generating a new one if necessary.
intersectSize(LongSortedSet, LongSortedSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the size of the intersection of two sets.
intersectSize(LongSet, LongSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the size of the intersection of two sets.
interval(int, int) - Static method in class org.lenskit.util.collections.CollectionUtils: Create an IntList that contains all numbers in a specified interval.
InvertibleFunction<F,T> - Interface in org.lenskit.util: A function for which an inverse is available.
isCompressed(File) - Static method in class org.lenskit.util.io.LKFileUtils: Deprecated.
Use CompressionMode or commons-compress facilities instead.
isEmpty() - Method in class org.lenskit.results.BasicResultList
isEmpty() - Method in class org.lenskit.util.collections.CompactableLongArrayList
isEmpty() - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Query whether the accumulator is empty.
isEmpty() - Method in class org.lenskit.util.collections.TopNLong2DoubleAccumulator
isEmpty() - Method in class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
isFromPrimary() - Method in class org.lenskit.basic.FallbackResult: Query whether this result came from the primary or the baseline item scorer.
isInstantiable() - Method in class org.lenskit.LenskitRecommenderEngine: Query whether this engine is instantiable.
isParallel() - Method in class org.lenskit.util.io.AbstractObjectStream
isParallel() - Method in class org.lenskit.util.parallel.TaskGroup: Query whether the subtasks will be run in parallel.
ISProvider(EntityType, DataAccessObject) - Constructor for class org.lenskit.data.ratings.InteractionStatistics.ISProvider: Construct the provider.
isShareable(DAGNode<Component, Dependency>) - Static method in class org.lenskit.inject.GraphtUtils: Determine if a node is a shareable component.
isSorted(long[], int, int) - Static method in class org.lenskit.util.MoreArrays: Check that the array is sorted.
isSparse() - Method in interface org.lenskit.knn.item.ItemSimilarity: Query whether this similarity is sparse.
isSparse() - Method in class org.lenskit.knn.item.ItemVectorSimilarity
isSparse() - Method in interface org.lenskit.knn.user.UserSimilarity: Query whether this similarity is sparse.
isSparse() - Method in class org.lenskit.knn.user.UserVectorSimilarity
isSparse() - Method in class org.lenskit.similarity.CosineVectorSimilarity
isSparse() - Method in class org.lenskit.similarity.MutualInformationVectorSimilarity
isSparse() - Method in class org.lenskit.similarity.PearsonCorrelation
isSparse() - Method in class org.lenskit.similarity.SignificanceWeightedVectorSimilarity
isSparse() - Method in class org.lenskit.similarity.SpearmanRankCorrelation
isSparse() - Method in interface org.lenskit.similarity.VectorSimilarity: Query whether this similarity function is sparse (returns 0 for vectors with disjoint key sets).
isSymmetric() - Method in interface org.lenskit.knn.item.ItemSimilarity: Query whether this similarity is symmetric.
isSymmetric() - Method in class org.lenskit.knn.item.ItemVectorSimilarity
isSymmetric() - Method in interface org.lenskit.knn.user.UserSimilarity: Query whether this similarity is symmetric.
isSymmetric() - Method in class org.lenskit.knn.user.UserVectorSimilarity
isSymmetric() - Method in class org.lenskit.similarity.CosineVectorSimilarity
isSymmetric() - Method in class org.lenskit.similarity.MutualInformationVectorSimilarity
isSymmetric() - Method in class org.lenskit.similarity.PearsonCorrelation
isSymmetric() - Method in class org.lenskit.similarity.SignificanceWeightedVectorSimilarity
isSymmetric() - Method in class org.lenskit.similarity.SpearmanRankCorrelation
isSymmetric() - Method in interface org.lenskit.similarity.VectorSimilarity: Query whether this similarity function is symmetric.
isThreadSafe() - Method in class org.lenskit.knn.item.ItemVectorSimilarity
isThreadSafe() - Method in interface org.lenskit.util.parallel.MaybeThreadSafe: Query whether this object is thread-safe.
isThreadSafe(Class<?>) - Static method in class org.lenskit.util.reflect.ClassQueries: Query whether a class is marked as thread-safe.
isThreadSafe(Object) - Static method in class org.lenskit.util.reflect.ClassQueries: Query whether an object is thread-safe.
isZero(double) - Static method in class org.lenskit.util.math.Scalars: Check whether a value is zero, using a default epsilon.
isZero(double, double) - Static method in class org.lenskit.util.math.Scalars: Check whether a value is zero, using a configurable epsilon.
ITEM - Static variable in class org.lenskit.data.entities.CommonTypes: Type identifier for item entities.
ITEM_FILE_NAME - Static variable in class org.lenskit.eval.crossfold.Crossfolder
ITEM_ID - Static variable in class org.lenskit.data.entities.CommonAttributes: The item ID associated with an entity.
ItemAverageRatingBiasModelProvider - Class in org.lenskit.bias: Compute a bias model that returns items’ average ratings.
ItemAverageRatingBiasModelProvider(RatingSummary, double) - Constructor for class org.lenskit.bias.ItemAverageRatingBiasModelProvider
ItemBasedItemRecommender - Interface in org.lenskit.api: Recommends items that go with a set of reference items.
ItemBasedItemScorer - Interface in org.lenskit.api: Score items with reference to specified item(s).
ItemBiasModel - Class in org.lenskit.bias: Bias model that provides global and item biases.
ItemBiasModel(double, Long2DoubleMap) - Constructor for class org.lenskit.bias.ItemBiasModel: Construct a new item bias model.
itemIndex() - Method in class org.lenskit.data.ratings.PackedRatingMatrix
itemIndex() - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the item ID index.
ItemItemBuildContext - Class in org.lenskit.knn.item.model: Encapsulation of data needed during an item-item model build.
ItemItemBuildContextProvider - Class in org.lenskit.knn.item.model: Provider that sets up an ItemItemBuildContext.
ItemItemBuildContextProvider(RatingVectorPDAO, UserVectorNormalizer, int) - Constructor for class org.lenskit.knn.item.model.ItemItemBuildContextProvider: Construct an item-item build context provider.
ItemItemBuildContextProvider(RatingVectorPDAO, UserVectorNormalizer) - Constructor for class org.lenskit.knn.item.model.ItemItemBuildContextProvider
ItemItemItemBasedItemScorer - Class in org.lenskit.knn.item: Score items based on the basket of items using an item-item CF model.
ItemItemItemBasedItemScorer(ItemItemModel, int) - Constructor for class org.lenskit.knn.item.ItemItemItemBasedItemScorer
ItemItemModel - Interface in org.lenskit.knn.item.model: Item-item similarity model.
ItemItemModelProvider - Class in org.lenskit.knn.item.model: Build an item-item CF model from rating data.
ItemItemModelProvider(ItemSimilarity, ItemItemBuildContext, Threshold, NeighborIterationStrategy, int, int) - Constructor for class org.lenskit.knn.item.model.ItemItemModelProvider
ItemItemResult - Class in org.lenskit.knn.item: The result type for item-item collaborative filtering.
ItemItemResult(long, double, int, double) - Constructor for class org.lenskit.knn.item.ItemItemResult: Construct a new item-item CF result.
ItemItemScoreAccumulator - Class in org.lenskit.knn.item: Score accumulator for item-item recommendation.
ItemItemScorer - Class in org.lenskit.knn.item: Score items using an item-item CF model.
ItemItemScorer(RatingVectorPDAO, ItemItemModel, NeighborhoodScorer, UserVectorNormalizer, int, int) - Constructor for class org.lenskit.knn.item.ItemItemScorer: Construct a new item-item scorer.
ItemMeanRatingItemScorer - Class in org.lenskit.baseline: Rating scorer that returns the item’s mean rating for all predictions.
ItemMeanRatingItemScorer(RatingSummary, double) - Constructor for class org.lenskit.baseline.ItemMeanRatingItemScorer: Construct a new scorer.
itemRanks(LongList) - Static method in class org.lenskit.util.collections.LongUtils: Compute the ranks for a list of longs.
itemRatingVector(Collection<? extends Rating>) - Static method in class org.lenskit.data.ratings.Ratings: Construct a rating vector that contains the ratings provided by each user.
ItemRecommender - Interface in org.lenskit.api: Interface for recommending items.
ItemScorer - Interface in org.lenskit.api: Score items for users.
ItemSelector - Class in org.lenskit.eval.traintest.recommend: Select items for use in recommendation or
ItemSelector() - Constructor for class org.lenskit.eval.traintest.recommend.ItemSelector
ItemSelector.GroovyItemSelector - Class in org.lenskit.eval.traintest.recommend: Item selector based on a Groovy script.
ItemSelector.ItemSelectScript - Class in org.lenskit.eval.traintest.recommend: Base class defining the environment in which item selectors are evaluated.
ItemSelectScript() - Constructor for class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript
ItemSimilarity - Interface in org.lenskit.knn.item: Compute the similarity between two items.
ItemSimilarityThreshold - Annotation Type in org.lenskit.knn.item: Qualifier for threshold applied to item similarities.
itemVector(long) - Method in class org.lenskit.knn.item.model.ItemItemBuildContext: Get the rating vector for an item.
ItemVectorNormalizer - Interface in org.lenskit.transform.normalize: Normalizes an item’s vector.
ItemVectorSimilarity - Class in org.lenskit.knn.item: Implementation of ItemSimilarity that delegates to a vector similarity.
ItemVectorSimilarity(VectorSimilarity) - Constructor for class org.lenskit.knn.item.ItemVectorSimilarity
IterationCount - Annotation Type in org.grouplens.lenskit.iterative: The number of iterations to use in an iterative update.
IterationCountStoppingCondition - Class in org.grouplens.lenskit.iterative: Stop once the iteration count has reached a value.
IterationCountStoppingCondition(int) - Constructor for class org.grouplens.lenskit.iterative.IterationCountStoppingCondition: Construct a new iteration count stopping condition.
iterator() - Method in class org.lenskit.data.entities.AttributeSet
iterator() - Method in class org.lenskit.results.BasicResultList
iterator() - Method in class org.lenskit.results.BasicResultMap
iterator() - Method in class org.lenskit.util.collections.CompactableLongArrayList
iterator() - Method in class org.lenskit.util.io.AbstractObjectStream: Get the iterator.
iterator() - Method in class org.lenskit.util.keys.KeyedObjectMap
iterator() - Method in class org.lenskit.util.keys.LongSortedArraySet
iterator(long) - Method in class org.lenskit.util.keys.LongSortedArraySet

J

JOB_TYPE - Static variable in class org.lenskit.eval.traintest.TrainTestExperiment: The job type code for train-test experiments
JobEvent - Class in org.lenskit.util.monitor: Events reporting the status of a TrackedJob.
JobEvent.Failed - Class in org.lenskit.util.monitor: Event fired when a job has failed.
JobEvent.Finished - Class in org.lenskit.util.monitor: Event fired when a job is finished.
JobEvent.ProgressUpdate - Class in org.lenskit.util.monitor: Event fired when a job has a status update.
JobEvent.Started - Class in org.lenskit.util.monitor: Event fired when a job is started.
jobFailed(JobEvent.Failed) - Method in class org.lenskit.eval.traintest.StatusLogger
jobFinished(JobEvent.Finished) - Method in class org.lenskit.eval.traintest.StatusLogger
jobStarted(JobEvent.Started) - Method in class org.lenskit.eval.traintest.StatusLogger
JSONEntityFormat - Class in org.lenskit.data.dao.file: Entity format that decodes JSON objects.
JSONEntityFormat() - Constructor for class org.lenskit.data.dao.file.JSONEntityFormat

K

keepTraining(double) - Method in interface org.grouplens.lenskit.iterative.TrainingLoopController: Query whether the computation should stop.
KeyedObject - Interface in org.lenskit.util.keys: Interface for objects that can be identified by long key.
KeyedObjectMap<T> - Class in org.lenskit.util.keys: A map that allows objects with long keys to be looked up by key.
KeyedObjectMap(Iterable<? extends T>, KeyExtractor<? super T>) - Constructor for class org.lenskit.util.keys.KeyedObjectMap: Create a new keyed object map from a collection of data.
KeyedObjectMapBuilder<T> - Class in org.lenskit.util.keys: Builder for keyed object maps.
KeyedObjectMapBuilder(KeyExtractor<? super T>) - Constructor for class org.lenskit.util.keys.KeyedObjectMapBuilder
keyExtractor() - Static method in class org.lenskit.results.Results: Get a key extractor that extracts the result’s ID as its key.
KeyExtractor<T> - Interface in org.lenskit.util.keys: Extract keys from objects.
KeyIndex - Interface in org.lenskit.util.keys: Bidirectional mapping between long keys and a contiguous range of integer indexes.
keyIterator() - Method in class org.lenskit.util.keys.SortedKeyIndex: Create an iterator over keys.
keyIterator(int) - Method in class org.lenskit.util.keys.SortedKeyIndex: Create an iterator over keys.
keyOrdering(KeyExtractor<T>) - Static method in class org.lenskit.util.keys.Keys
Keys - Class in org.lenskit.util.keys: Utility class for key extractors.
keySet() - Method in class org.lenskit.results.BasicResultMap
keySet() - Method in class org.lenskit.util.keys.KeyedObjectMap
keySet() - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
keySet() - Method in class org.lenskit.util.keys.SortedKeyIndex: Get a view of the index as a set.
keyValueComparator(Long2DoubleFunction) - Static method in class org.lenskit.util.collections.LongUtils: Create a comparator that compares long keys by associated double values.
KnownRatingRatingPredictor - Class in org.lenskit.predict: Use a user’s existing ratings as predictions.
KnownRatingRatingPredictor(DataAccessObject) - Constructor for class org.lenskit.predict.KnownRatingRatingPredictor

L

lastIndexOf(Object) - Method in class org.lenskit.results.BasicResultList
lastLong() - Method in class org.lenskit.util.keys.LongSortedArraySet
lastLongKey() - Method in class org.lenskit.util.keys.KeyedObjectMap
lastLongKey() - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
Layout(EntityType, AttributeSet, Class<? extends EntityBuilder>) - Constructor for class org.lenskit.data.dao.file.EntitySource.Layout: Construct an entity source layout.
LearningRate - Annotation Type in org.grouplens.lenskit.iterative: Learning rate for iterative methods.
LeastSquaresItemScorer - Class in org.lenskit.baseline: Baseline scorer using least-squares estimates of preferences, trained by gradient descent.
LeastSquaresItemScorer(Long2DoubleMap, Long2DoubleMap, double) - Constructor for class org.lenskit.baseline.LeastSquaresItemScorer: Construct a new least-squares scorer.
LeastSquaresItemScorer.Builder - Class in org.lenskit.baseline: The builder for the least squares predictor.
length - Variable in class org.lenskit.eval.traintest.recommend.TopNLengthMetric.LengthResult
length() - Method in interface org.lenskit.util.table.Row: Get the length of this row.
LengthResult(double) - Constructor for class org.lenskit.eval.traintest.recommend.TopNLengthMetric.LengthResult
LenskitAnnotationProcessor - Class in org.lenskit.inject: Annotation processor to provide basic linting of LensKit annotations.
LenskitAnnotationProcessor() - Constructor for class org.lenskit.inject.LenskitAnnotationProcessor
LenskitBinding<T> - Interface in org.lenskit: LensKit-augmented binding interface.
LenskitCommandException - Exception in org.lenskit.cli: Exception thrown when a LensKit command fails.
LenskitCommandException() - Constructor for exception org.lenskit.cli.LenskitCommandException
LenskitCommandException(String) - Constructor for exception org.lenskit.cli.LenskitCommandException
LenskitCommandException(String, Throwable) - Constructor for exception org.lenskit.cli.LenskitCommandException
LenskitCommandException(Throwable) - Constructor for exception org.lenskit.cli.LenskitCommandException
LenskitCommandException(String, Throwable, boolean, boolean) - Constructor for exception org.lenskit.cli.LenskitCommandException
LenskitConfigContext - Interface in org.lenskit: LensKit-specific augmentations of the Grapht context interface.
LenskitConfigDSL - Class in org.lenskit.config: Methods for the LensKit configuration DSL.
LenskitConfigDSL(ConfigurationLoader) - Constructor for class org.lenskit.config.LenskitConfigDSL: Construct a new delegate with an empty configuration.
LenskitConfigDSL(ConfigurationLoader, URI) - Constructor for class org.lenskit.config.LenskitConfigDSL: Construct a new delegate with an empty configuration.
LenskitConfigDSL(ConfigurationLoader, LenskitConfiguration, URI) - Constructor for class org.lenskit.config.LenskitConfigDSL: Construct a new delegate.
LenskitConfigScript - Class in org.lenskit.config: Base class for LensKit configuration scripts.
LenskitConfigScript() - Constructor for class org.lenskit.config.LenskitConfigScript
LenskitConfigScript(Binding) - Constructor for class org.lenskit.config.LenskitConfigScript
LenskitConfiguration - Class in org.lenskit: A LensKit algorithm configuration.
LenskitConfiguration() - Constructor for class org.lenskit.LenskitConfiguration: Create a new LensKit configuration.
LenskitConfiguration(LenskitConfiguration) - Constructor for class org.lenskit.LenskitConfiguration: Create a new copy of a LensKit configuration.
LenskitInfo - Class in org.lenskit: Get access to general information about LensKit.
LenskitRecommender - Class in org.lenskit: Recommender implementation built on LensKit containers.
LenskitRecommender(DAGNode<Component, Dependency>) - Constructor for class org.lenskit.LenskitRecommender: Create a new LensKit recommender.
LenskitRecommenderEngine - Class in org.lenskit: LensKit implementation of a recommender engine.
LenskitRecommenderEngine(DAGNode<Component, Dependency>, boolean) - Constructor for class org.lenskit.LenskitRecommenderEngine: Build an engine encapsulating a dependency graph.
LenskitRecommenderEngineBuilder - Class in org.lenskit: Builds LensKit recommender engines from configurations.
LenskitRecommenderEngineBuilder() - Constructor for class org.lenskit.LenskitRecommenderEngineBuilder
LenskitRecommenderEngineLoader - Class in org.lenskit: Load a pre-built recommender engine from a file.
LenskitRecommenderEngineLoader() - Constructor for class org.lenskit.LenskitRecommenderEngineLoader
LenskitResultList - Interface in org.lenskit.results: LensKit refinement of the general result list type.
LenskitResultMap - Interface in org.lenskit.results: LensKit refinement of the general result map type.
lenskitVersion() - Static method in class org.lenskit.LenskitInfo: Get the current LensKit version.
likeBatch(long, long, int) - Method in class org.lenskit.data.entities.EntityFactory
limit(long) - Method in class org.lenskit.util.io.AbstractObjectStream
LineEntityParser - Class in org.lenskit.data.dao.file: Interface for parsers that parse an entity from a line of text.
LineEntityParser() - Constructor for class org.lenskit.data.dao.file.LineEntityParser
LineStream - Class in org.lenskit.util.io: Stream that reads lines from a file.
LineStream(BufferedReader) - Constructor for class org.lenskit.util.io.LineStream: Construct a stream reading lines from a buffered reader.
listCollector() - Static method in class org.lenskit.results.Results: A Java 8 collector that makes result lists.
listElementType(TypeToken<? extends List<T>>) - Static method in class org.lenskit.util.TypeUtils: Extract the element type from a type token representing a list.
listIterator() - Method in class org.lenskit.results.BasicResultList
listIterator(int) - Method in class org.lenskit.results.BasicResultList
listIterator() - Method in class org.lenskit.util.collections.CompactableLongArrayList
listIterator(int) - Method in class org.lenskit.util.collections.CompactableLongArrayList
ListOnlyTopNMetric<X> - Class in org.lenskit.eval.traintest.recommend: Intermediate class for top-N metrics that only depend on the list of recommended items, not their details.
ListOnlyTopNMetric(List<String>, List<String>) - Constructor for class org.lenskit.eval.traintest.recommend.ListOnlyTopNMetric
ListOnlyTopNMetric(Class<? extends TypedMetricResult>, Class<? extends TypedMetricResult>) - Constructor for class org.lenskit.eval.traintest.recommend.ListOnlyTopNMetric
ListOnlyTopNMetric(Class<? extends TypedMetricResult>, Class<? extends TypedMetricResult>, String) - Constructor for class org.lenskit.eval.traintest.recommend.ListOnlyTopNMetric
LiveNeighborFinder - Class in org.lenskit.knn.user: Neighborhood finder that does a fresh search over the data source ever time.
LiveNeighborFinder(RatingVectorPDAO, DataAccessObject, UserSimilarity, UserVectorNormalizer, UserVectorNormalizer, Threshold) - Constructor for class org.lenskit.knn.user.LiveNeighborFinder: Construct a new user neighborhood finder.
LiveUserItemBiasModel - Class in org.lenskit.bias: Bias model that provides global, user, and item biases.
LiveUserItemBiasModel(ItemBiasModel, RatingVectorPDAO) - Constructor for class org.lenskit.bias.LiveUserItemBiasModel: Construct a new bias model.
LKFileUtils - Class in org.lenskit.util.io: File utilities for LensKit.
load(Closure<?>) - Static method in class org.lenskit.config.ConfigHelpers: Load a LensKit configuration from a Groovy closure.
load(String) - Static method in class org.lenskit.config.ConfigHelpers: Deprecated.
Loading from Groovy source strings is confusing.
load(File) - Static method in class org.lenskit.config.ConfigHelpers: Load a LensKit configuration from a script file.
load(URL) - Static method in class org.lenskit.config.ConfigHelpers: Load a LensKit configuration from a script URL.
load(File) - Method in class org.lenskit.config.ConfigurationLoader: Load a configuration from a file.
load(URL) - Method in class org.lenskit.config.ConfigurationLoader: Load a configuration from a URL.
load(String) - Method in class org.lenskit.config.ConfigurationLoader: Deprecated.
Loading from Groovy sources as strings is confusing.
load(Closure<?>) - Method in class org.lenskit.config.ConfigurationLoader: Deprecated.
Use ConfigHelpers.load(groovy.lang.Closure) instead.
load(Path) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Load a static file data set from a file.
load(Path, String) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Load a static file data set from a file.
load(URI, String) - Static method in class org.lenskit.data.dao.file.StaticDataSource: Load a static file data set from a URI.
load(Path, String, ClassLoader) - Static method in class org.lenskit.eval.traintest.AlgorithmInstance: Load an algorithm instance from a file.
load(Path) - Static method in class org.lenskit.eval.traintest.DataSet: Load one or more data sets from a YAML manifest file.
load(URL) - Static method in class org.lenskit.eval.traintest.DataSet: Load one or more data sets from a YAML manifest file.
load(Path) - Static method in class org.lenskit.eval.traintest.TrainTestExperiment: Load a train-test experiment from a YAML file.
load(File) - Static method in class org.lenskit.LenskitRecommenderEngine: Create a new recommender engine by reading a previously serialized engine from the given file.
load(File, ClassLoader) - Static method in class org.lenskit.LenskitRecommenderEngine: Deprecated.
Use LenskitRecommenderEngineLoader for sophisticated loading.
load(InputStream) - Static method in class org.lenskit.LenskitRecommenderEngine: Create a new recommender engine by reading a previously serialized engine from the given input stream.
load(InputStream) - Method in class org.lenskit.LenskitRecommenderEngineLoader: Load a recommender engine from an input stream.
load(File) - Method in class org.lenskit.LenskitRecommenderEngineLoader: Load a recommender from a file.
loadConfigurations(List<File>) - Method in class org.lenskit.cli.util.ScriptEnvironment
loadEngine() - Method in class org.lenskit.cli.util.RecommenderLoader
loadScript(GroovyCodeSource, URI) - Method in class org.lenskit.config.ConfigurationLoader: Load a LensKit configuration script.
loadScript(File) - Method in class org.lenskit.config.ConfigurationLoader: Load a configuration script from a file.
loadScript(URL) - Method in class org.lenskit.config.ConfigurationLoader: Load a configuration script from a URL.
loadScript(String) - Method in class org.lenskit.config.ConfigurationLoader: Load a configuration script from a script source.
log(double) - Static method in class org.lenskit.eval.traintest.metrics.Discounts: Create a new logarithmic discount.
log2() - Static method in class org.lenskit.eval.traintest.metrics.Discounts: Create a log-base-2 discount.
log2(double) - Static method in class org.lenskit.util.math.Scalars
LogDiscount - Class in org.lenskit.eval.traintest.metrics: Logarithmic discounting.
LogDiscount(double) - Constructor for class org.lenskit.eval.traintest.metrics.LogDiscount: Construct a log discount.
logger - Variable in class org.lenskit.config.LenskitConfigScript
Logging - Class in org.lenskit.cli.util: CLI support for configuring the logging infrastructure.
LoggingStreamSlurper - Class in org.lenskit.util.io: Thread that reads an input stream and writes its lines to a logger.
LoggingStreamSlurper(String, InputStream, Logger, String) - Constructor for class org.lenskit.util.io.LoggingStreamSlurper: Create a new stream slurper.
logProgress() - Method in class org.lenskit.util.ProgressLogger: Log the current progress to the logger.
Long2DoubleAccumulator - Interface in org.lenskit.util.collections: Accumulate a sorted list of scored IDs.
long2DoubleEntrySet() - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
Long2DoubleSortedArrayMap - Class in org.lenskit.util.keys: An immutable long-to-double map backed by a sorted key array.
Long2DoubleSortedArrayMap(Map<Long, Double>) - Constructor for class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Deprecated.
long2ObjectEntrySet() - Method in class org.lenskit.results.BasicResultMap
long2ObjectEntrySet() - Method in class org.lenskit.util.keys.KeyedObjectMap
LongAttrMethod(TypedName<?>) - Constructor for class org.lenskit.data.entities.AbstractBeanEntityBuilder.LongAttrMethod
LongSortedArraySet - Class in org.lenskit.util.keys: A sorted set of longs implemented using a sorted array.
LongSortedArraySet(SortedKeyIndex) - Constructor for class org.lenskit.util.keys.LongSortedArraySet: Construct a new long sorted array set from a key domain.
LongSortedArraySet(Collection<Long>) - Constructor for class org.lenskit.util.keys.LongSortedArraySet: Construct a new array set from a collection of items.
LongSortedArraySet(long[]) - Constructor for class org.lenskit.util.keys.LongSortedArraySet: Construct a new array set from an array of items.
LongUtils - Class in org.lenskit.util.collections: Utilities for working with longs and collections of them from Fastutil.
lookup(TypedName<?>) - Method in class org.lenskit.data.entities.AttributeSet: Look up an attribute.
lookup(TypedName<?>, boolean) - Method in class org.lenskit.data.entities.AttributeSet: Look up an attribute.
lookup(String) - Method in class org.lenskit.data.entities.AttributeSet: Look up an attribute.
lookup(EntityType) - Static method in class org.lenskit.data.entities.EntityDefaults: Look up the defaults for a particular entity type.
lookup(long) - Method in class org.lenskit.data.store.EntityCollection: Look up an entity by ID.
lookupEntity(EntityType, long) - Method in interface org.lenskit.data.dao.DataAccessObject: Look up an entity by ID.
lookupEntity(EntityType, long, Class<E>) - Method in interface org.lenskit.data.dao.DataAccessObject: Look up an entity by ID and project it to a view class.
lookupEntity(EntityType, long) - Method in class org.lenskit.data.dao.EntityCollectionDAO
lookupEntity(EntityType, long, Class<E>) - Method in class org.lenskit.data.dao.EntityCollectionDAO
lookupFromStringConverter(TypeToken<T>) - Static method in class org.lenskit.util.TypeUtils: Look up a converter to convert strings to the specified type.

M

MAEPredictMetric - Class in org.lenskit.eval.traintest.predict: Evaluate a recommender’s prediction accuracy with MAE (Mean Absolute Error).
MAEPredictMetric() - Constructor for class org.lenskit.eval.traintest.predict.MAEPredictMetric
MAEPredictMetric.Context - Class in org.lenskit.eval.traintest.predict
Main - Class in org.lenskit.cli: Main entry point for lenskit-cli.
Main() - Constructor for class org.lenskit.cli.Main
main(String[]) - Static method in class org.lenskit.cli.Main
make(long, long, double) - Static method in class org.lenskit.data.ratings.Ratings: Deprecated.
Use Rating.create(long, long, double).
make(long, long, double, long) - Static method in class org.lenskit.data.ratings.Ratings: Deprecated.
Use Rating.create(long, long, double, long)
makeChild(String) - Method in class org.lenskit.util.monitor.TrackedJob: Create a child job.
makeChild(String, String) - Method in class org.lenskit.util.monitor.TrackedJob: Create a child job.
makeInstantiator(Map<Desire, Instantiator>, LifecycleManager) - Method in class org.lenskit.inject.PlaceholderSatisfaction
makeLayout(Class<? extends AbstractBeanEntity>) - Static method in class org.lenskit.data.entities.AbstractBeanEntity
makeList(ObjectStream<? extends T>) - Static method in class org.lenskit.util.io.ObjectStreams: Deprecated.
Use Stream.collect(Collector).
makeListType(TypeToken<T>) - Static method in class org.lenskit.util.TypeUtils: Make a type token for a list of a particular element type.
makeParser(List<String>) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat
makeParser(List<String>) - Method in interface org.lenskit.data.dao.file.EntityFormat: Create an entity parser for a file.
makeParser(List<String>) - Method in class org.lenskit.data.dao.file.JSONEntityFormat
makeTransformation(long, Long2DoubleMap) - Method in class org.lenskit.transform.normalize.BaselineSubtractingUserVectorNormalizer
makeTransformation(long, Long2DoubleMap) - Method in class org.lenskit.transform.normalize.BiasItemVectorNormalizer
makeTransformation(long, Long2DoubleMap) - Method in class org.lenskit.transform.normalize.BiasUserVectorNormalizer
makeTransformation(long, Long2DoubleMap) - Method in class org.lenskit.transform.normalize.DefaultItemVectorNormalizer
makeTransformation(long, Long2DoubleMap) - Method in class org.lenskit.transform.normalize.DefaultUserVectorNormalizer
makeTransformation(Long2DoubleMap) - Method in class org.lenskit.transform.normalize.IdentityVectorNormalizer
makeTransformation(long, Long2DoubleMap) - Method in interface org.lenskit.transform.normalize.ItemVectorNormalizer: Make a vector transformation for a item.
makeTransformation(Long2DoubleMap) - Method in class org.lenskit.transform.normalize.MeanCenteringVectorNormalizer
makeTransformation(Long2DoubleMap) - Method in class org.lenskit.transform.normalize.MeanVarianceNormalizer
makeTransformation(Long2DoubleMap) - Method in class org.lenskit.transform.normalize.UnitVectorNormalizer
makeTransformation(long, Long2DoubleMap) - Method in interface org.lenskit.transform.normalize.UserVectorNormalizer: Make a vector transformation for a user.
makeTransformation(Long2DoubleMap) - Method in interface org.lenskit.transform.normalize.VectorNormalizer: Create a vector transformation that normalizes and denormalizes vectors with respect to a reference vector.
makeTypeName(TypeToken<T>) - Static method in class org.lenskit.util.TypeUtils: Turn a type token into a parsable type name.
makeVector(List<Entity>) - Method in class org.lenskit.data.ratings.AbstractRatingVectorPDAO: Make a vector from entities.
makeVector(List<Entity>) - Method in class org.lenskit.data.ratings.CountSumRatingVectorPDAO
makeVector(List<Entity>) - Method in class org.lenskit.data.ratings.EntityCountRatingVectorPDAO
map - Variable in class org.lenskit.eval.traintest.recommend.TopNMAPMetric.AggregateResult: The MAP over all users.
map(Function<? super T, ? extends R>) - Method in class org.lenskit.util.io.AbstractObjectStream
mapCollector(ToLongFunction<T>, Function<T, E>) - Static method in class org.lenskit.util.collections.LongUtils
mapToDouble(ToDoubleFunction<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
mapToInt(ToIntFunction<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
mapToLong(ToLongFunction<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
mapValue(Function<? super T, ? extends R>) - Method in class org.lenskit.util.IdBox: Transform the value in a box.
matches(Entity) - Method in class org.lenskit.data.dao.EntityQuery: Determine whether this query matches the specified entity.
matching(ContextPattern) - Method in class org.lenskit.config.BindingDSL
matching(ContextPattern, Closure<?>) - Method in class org.lenskit.config.BindingDSL
matching(ContextPattern) - Method in interface org.lenskit.LenskitConfigContext
matching(ContextPattern) - Method in class org.lenskit.LenskitConfiguration
matrixRow(RealMatrix, int) - Static method in class org.lenskit.util.math.Vectors: Create a flyweight row view of a matrix.
max(Comparator<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
maybeGet(String) - Method in class org.lenskit.data.entities.AbstractBeanEntity
maybeGet(TypedName<T>) - Method in class org.lenskit.data.entities.AbstractBeanEntity
maybeGet(TypedName<T>) - Method in class org.lenskit.data.entities.AbstractEntity: Get the value of a possibly-missing attribute.
maybeGet(TypedName<T>) - Method in interface org.lenskit.data.entities.Entity: Get the value of a possibly-missing attribute.
maybeGet(String) - Method in interface org.lenskit.data.entities.Entity: Get the value of a possibly-missing attribute by name.
MaybeThreadSafe - Interface in org.lenskit.util.parallel: Interface for objects that can report at runtime whether they are thread-safe.
mean - Variable in class org.lenskit.eval.traintest.recommend.TopNPopularityMetric.PopResult
mean(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Compute the arithmetic mean of a vector’s values.
MeanCenteringVectorNormalizer - Class in org.lenskit.transform.normalize: Vector normlizer that subtracts the mean from every value.
MeanCenteringVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.MeanCenteringVectorNormalizer
MeanDamping - Annotation Type in org.lenskit.baseline: Damping parameter for means in baseline predictors.
MeanVarianceNormalizer - Class in org.lenskit.transform.normalize
MeanVarianceNormalizer() - Constructor for class org.lenskit.transform.normalize.MeanVarianceNormalizer: Initializes basic normalizer with no damping.
MeanVarianceNormalizer(double, double) - Constructor for class org.lenskit.transform.normalize.MeanVarianceNormalizer: Construct a new mean variance normalizer.
measureResult(long, Result, X) - Method in class org.lenskit.eval.traintest.metrics.ResultMetric: Measure a single result.
measureUser(Recommender, TestUser) - Method in interface org.lenskit.eval.traintest.ConditionEvaluator: Measure the performance for a single user.
measureUser(TestUser, ResultMap, CoveragePredictMetric.Context) - Method in class org.lenskit.eval.traintest.predict.CoveragePredictMetric
measureUser(TestUser, ResultMap, MAEPredictMetric.Context) - Method in class org.lenskit.eval.traintest.predict.MAEPredictMetric
measureUser(TestUser, ResultMap, Mean) - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric
measureUser(TestUser, ResultMap, X) - Method in class org.lenskit.eval.traintest.predict.PredictMetric: Measure a single result.
measureUser(TestUser, ResultMap, RMSEPredictMetric.Context) - Method in class org.lenskit.eval.traintest.predict.RMSEPredictMetric
measureUser(Recommender, TestUser, int, ResultList, X) - Method in class org.lenskit.eval.traintest.recommend.ListOnlyTopNMetric
measureUser(Recommender, TestUser, int, LongList, X) - Method in class org.lenskit.eval.traintest.recommend.ListOnlyTopNMetric: Measurement method that only uses the recommend list.
measureUser(Recommender, TestUser, int, LongList, TopNEntropyMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNEntropyMetric
measureUser(Recommender, TestUser, int, LongList, Mean) - Method in class org.lenskit.eval.traintest.recommend.TopNLengthMetric
measureUser(Recommender, TestUser, int, LongList, TopNMAPMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNMAPMetric
measureUser(Recommender, TestUser, int, ResultList, X) - Method in class org.lenskit.eval.traintest.recommend.TopNMetric: Measure a single result.
measureUser(Recommender, TestUser, int, LongList, TopNMRRMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNMRRMetric
measureUser(Recommender, TestUser, int, LongList, Mean) - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric
measureUser(Recommender, TestUser, int, LongList, Mean) - Method in class org.lenskit.eval.traintest.recommend.TopNNDPMMetric
measureUser(Recommender, TestUser, int, LongList, TopNPopularityMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNPopularityMetric
measureUser(Recommender, TestUser, int, LongList, TopNPrecisionRecallMetric.Context) - Method in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric
methodMissing(String, Object) - Method in class org.lenskit.config.LenskitConfigScript: Groovy override to pass things off to the delegate.
Metric<X> - Class in org.lenskit.eval.traintest.metrics: Interface for common aspects of metrics, which are used to measure individual or per-user results.
Metric(List<String>, List<String>) - Constructor for class org.lenskit.eval.traintest.metrics.Metric
MetricColumn - Annotation Type in org.lenskit.eval.traintest.metrics: Specify the information for a column method in a metric response type.
MetricLoaderHelper - Class in org.lenskit.eval.traintest.metrics: Helper for loading metrics from the classpath.
MetricLoaderHelper(ClassLoader, String) - Constructor for class org.lenskit.eval.traintest.metrics.MetricLoaderHelper: Create a new loader helper.
MetricResult - Class in org.lenskit.eval.traintest.metrics: Class containing metric results.
MetricResult() - Constructor for class org.lenskit.eval.traintest.metrics.MetricResult
min(Comparator<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
MinCommonUsers - Annotation Type in org.lenskit.knn.item: The minimum users two items must have in common in order to be included in the similarity model.
MinimumIterations - Annotation Type in org.grouplens.lenskit.iterative: The minimum number of iterations to use.
MinNeighbors - Annotation Type in org.lenskit.knn: The minimum number of neighbors required to attempt a prediction.
model - Variable in class org.lenskit.knn.item.ItemItemItemBasedItemScorer
model - Variable in class org.lenskit.knn.item.ItemItemScorer
model - Variable in class org.lenskit.slopeone.SlopeOneItemScorer
ModelDisposition - Enum in org.lenskit: The way components should be handled when building a LensKit recommender.
ModelSize - Annotation Type in org.lenskit.knn.item: Number of neighbors to retain in the similarity matrix.
MoreArrays - Class in org.lenskit.util: Extra array utilities.
mrr - Variable in class org.lenskit.eval.traintest.recommend.TopNMRRMetric.AggregateResult: The MRR over all users.
MultiAlgorithmDSL - Class in org.lenskit.eval.traintest: DSL delegate for configuring multiple LensKit algorithms with names and attributes.
MultiAlgorithmDSL(ConfigurationLoader, AlgorithmInstanceBuilder) - Constructor for class org.lenskit.eval.traintest.MultiAlgorithmDSL
MultiplexedTableWriter - Class in org.lenskit.util.table.writer
MultiplexedTableWriter(TableLayout, List<TableWriter>) - Constructor for class org.lenskit.util.table.writer.MultiplexedTableWriter
MultiplexedTableWriter(TableLayout, TableWriter...) - Constructor for class org.lenskit.util.table.writer.MultiplexedTableWriter
multiplyScalar(Long2DoubleMap, double) - Static method in class org.lenskit.util.math.Vectors: Multiply each element of a vector by a scalar.
MutualInformationAccumulator - Class in org.lenskit.util.math: Accumulate mutual information over two discrete variables.
MutualInformationAccumulator(int, int) - Constructor for class org.lenskit.util.math.MutualInformationAccumulator: Construct a new accumulator.
MutualInformationAccumulator(int) - Constructor for class org.lenskit.util.math.MutualInformationAccumulator: Construct a new accumulator with equal-sized event spaces.
MutualInformationVectorSimilarity - Class in org.lenskit.similarity: Similarity function that assumes the two vectors are paired samples from 2 correlated random variables.
MutualInformationVectorSimilarity(Quantizer) - Constructor for class org.lenskit.similarity.MutualInformationVectorSimilarity: Construct a new mutual information similarity.

N

NAME - Static variable in class org.lenskit.data.entities.CommonAttributes: A name associated with the entity.
nameSet() - Method in class org.lenskit.data.entities.AttributeSet: Get a set-of-strings view of this attribute set.
nattempted - Variable in class org.lenskit.eval.traintest.predict.CoveragePredictMetric.Coverage
NDCGPredictMetric - Class in org.lenskit.eval.traintest.predict: Evaluate a recommender’s predictions with normalized discounted cumulative gain.
NDCGPredictMetric() - Constructor for class org.lenskit.eval.traintest.predict.NDCGPredictMetric: Create a new log_2 nDCG metric with column name “Predict.nDCG”.
NDCGPredictMetric(Discount) - Constructor for class org.lenskit.eval.traintest.predict.NDCGPredictMetric: Create a new nDCG metric with column name “Predict.nDCG”.
NDCGPredictMetric(NDCGPredictMetric.Spec) - Constructor for class org.lenskit.eval.traintest.predict.NDCGPredictMetric: Construct a predict metric from a spec.
NDCGPredictMetric(Discount, String) - Constructor for class org.lenskit.eval.traintest.predict.NDCGPredictMetric: Create a new nDCG metric.
NDCGPredictMetric.Spec - Class in org.lenskit.eval.traintest.predict: Specification for configuring nDCG metrics.
Neighbor - Class in org.lenskit.knn.user: Representation of a single neighboring user.
Neighbor(long, Long2DoubleMap, double) - Constructor for class org.lenskit.knn.user.Neighbor: Construct a new neighbor.
NeighborFinder - Interface in org.lenskit.knn.user: Finds candidate neighbors for a user.
neighborFinder - Variable in class org.lenskit.knn.user.UserUserItemScorer
NeighborhoodScorer - Interface in org.lenskit.knn.item: Compute scores from neighborhoods and score vectors.
NeighborhoodSize - Annotation Type in org.lenskit.knn: Number of neighbors to consider when building a prediction.
NeighborIterationStrategy - Interface in org.lenskit.knn.item.model: Abstraction of strategies for iterating over potential neighboring items.
neighborIterator(ItemItemBuildContext, long, boolean) - Method in class org.lenskit.knn.item.model.BasicNeighborIterationStrategy
neighborIterator(ItemItemBuildContext, long, boolean) - Method in interface org.lenskit.knn.item.model.NeighborIterationStrategy: Get an iterator over possible neighbors of an item.
neighborIterator(ItemItemBuildContext, long, boolean) - Method in class org.lenskit.knn.item.model.SparseNeighborIterationStrategy
newBareBuilder(EntityType) - Static method in class org.lenskit.data.store.EntityCollection: Create a new builder for colletions of bare entitites (only storing IDs).
newBuilder() - Static method in class org.lenskit.basic.PrecomputedItemScorer: Construct a new builder for precomputed item scorers.
newBuilder() - Static method in class org.lenskit.data.dao.EntityCollectionDAO: Create a new DAO builder.
newBuilder(EntityType) - Static method in class org.lenskit.data.dao.EntityQuery: Construct a new data query builder.
newBuilder(EntityType) - Static method in class org.lenskit.data.entities.Entities: Create a new basic entity builder.
newBuilder(EntityType, long) - Static method in class org.lenskit.data.entities.Entities: Create a new basic entity builder.
newBuilder() - Static method in class org.lenskit.data.ratings.PreferenceDomain: Create a new preference domain builder.
newBuilder() - Static method in class org.lenskit.data.ratings.Rating: Create a new rating builder.
newBuilder(EntityType) - Static method in class org.lenskit.data.store.EntityCollection: Create a new entity collection builder.
newBuilder(EntityType, AttributeSet) - Static method in class org.lenskit.data.store.EntityCollection: Create a new packed entity collection builder.
newBuilder(EntityType, AttributeSet, Class<? extends EntityBuilder>) - Static method in class org.lenskit.data.store.EntityCollection: Create a new packed entity collection builder.
newBuilder() - Static method in class org.lenskit.eval.traintest.DataSet: Create a new generic train-test data set builder.
newBuilder(String) - Static method in class org.lenskit.eval.traintest.DataSet: Create a new generic train-test data set builder.
newBuilder() - Static method in class org.lenskit.eval.traintest.TestUser: Make a builder for test users.
newBuilder() - Static method in class org.lenskit.LenskitRecommenderEngine: Create a new recommender engine builder.
newBuilder(KeyExtractor<? super T>) - Static method in class org.lenskit.util.keys.KeyedObjectMap: Create a new builder for a keyed object map.
newBuilder() - Static method in class org.lenskit.util.keys.KeyedObjectMap: Create a new builder for a keyed object map over a self-keying type.
newEntityBuilder() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Instantiate a new entity builder.
newEntityBuilder() - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Instantiate a new entity builder.
newInstance() - Method in class org.lenskit.util.reflect.InstanceFactory: Create a new instance.
newLoader() - Static method in class org.lenskit.LenskitRecommenderEngine: Create a new recommender engine loader.
newLoop() - Method in class org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition
newLoop() - Method in class org.grouplens.lenskit.iterative.IterationCountStoppingCondition
newLoop() - Method in interface org.grouplens.lenskit.iterative.StoppingCondition: Create a controller for a new training loop.
newLoop() - Method in class org.grouplens.lenskit.iterative.ThresholdStoppingCondition
newResultList(List<? extends Result>) - Static method in class org.lenskit.results.Results: Create a new result list.
newResultList(R...) - Static method in class org.lenskit.results.Results: Create a new result list.
newResultMap(Iterable<? extends Result>) - Static method in class org.lenskit.results.Results: Create a new result list.
newResultMap(R...) - Static method in class org.lenskit.results.Results: Create a new result list.
newRowBuilder() - Method in class org.lenskit.util.table.TableLayout: Create a new row builder for this layout.
next() - Method in class org.lenskit.util.io.ObjectStreamIterator
nextItem(long, int, List<? extends Result>, List<? extends Result>) - Method in class org.lenskit.rerank.AbstractFilteringGreedyRerankStrategy
nextItem(long, int, List<? extends Result>, List<? extends Result>) - Method in class org.lenskit.rerank.AbstractScoringGreedyRerankStrategy
nextItem(long, int, List<? extends Result>, List<? extends Result>) - Method in interface org.lenskit.rerank.GreedyRerankStrategy: A method to select the next item to be recommended.
ngood - Variable in class org.lenskit.eval.traintest.predict.CoveragePredictMetric.Coverage
NodeInstantiator - Class in org.lenskit.inject: Instantiate graph nodes.
NodeInstantiator() - Constructor for class org.lenskit.inject.NodeInstantiator
NodeProcessor - Interface in org.lenskit.inject: Process a node in a graph.
NodeProcessors - Class in org.lenskit.inject
noneMatch(Predicate<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
noop(TableLayout) - Static method in class org.lenskit.util.table.writer.TableWriters: Create a table writer that does nothing.
NoOpTruncator - Class in org.grouplens.lenskit.transform.truncate: A VectorTruncator that does not actually perform any truncation.
NoOpTruncator() - Constructor for class org.grouplens.lenskit.transform.truncate.NoOpTruncator
normalizer - Variable in class org.lenskit.knn.item.ItemItemScorer
normalizer - Variable in class org.lenskit.knn.user.UserUserItemScorer
NormalizingItemItemModelProvider - Class in org.lenskit.knn.item.model: Build an item-item CF model from rating data.
NormalizingItemItemModelProvider(ItemSimilarity, ItemItemBuildContext, ItemVectorNormalizer, VectorTruncator, NeighborIterationStrategy) - Constructor for class org.lenskit.knn.item.model.NormalizingItemItemModelProvider: Construct a normalizing item-item model builder.
NoSuchAttributeException - Exception in org.lenskit.data.entities: Exception thrown when a nonexistent field is requested.
NoSuchAttributeException() - Constructor for exception org.lenskit.data.entities.NoSuchAttributeException
NoSuchAttributeException(String) - Constructor for exception org.lenskit.data.entities.NoSuchAttributeException
NoSuchAttributeException(String, Throwable) - Constructor for exception org.lenskit.data.entities.NoSuchAttributeException
NoSuchAttributeException(Throwable) - Constructor for exception org.lenskit.data.entities.NoSuchAttributeException
NoThreshold - Class in org.grouplens.lenskit.transform.threshold: Represents the absence of a threshold function, choosing to retain all similarity values passed to it.
NoThreshold() - Constructor for class org.grouplens.lenskit.transform.threshold.NoThreshold
nullSelector() - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector: Get an item selector that returns null.
nusers - Variable in class org.lenskit.eval.traintest.predict.CoveragePredictMetric.AggregateCoverage

O

objectCollection(Collection<E>) - Static method in class org.lenskit.util.collections.CollectionUtils: Wrap a Collection in an ObjectCollection.
objects() - Method in class org.lenskit.util.keys.KeyedObjectMapBuilder: Get the objects that have been added so far.
ObjectStream<T> - Interface in org.lenskit.util.io: A stream of objects read from somewhere.
ObjectStreamIterator<T> - Class in org.lenskit.util.io: Simple implementation of an Iterator that wraps a object stream’s data.
ObjectStreamIterator(ObjectStream<T>) - Constructor for class org.lenskit.util.io.ObjectStreamIterator: Construct a new iterator from a stream.
ObjectStreams - Class in org.lenskit.util.io: Utility methods for streams.
of(T...) - Static method in class org.lenskit.util.io.ObjectStreams: Create an object stream over a fixed set of elements.
onClose(Runnable) - Method in class org.lenskit.util.io.AbstractObjectStream
open(File, TableLayout, CompressionMode) - Static method in class org.lenskit.util.table.writer.CSVWriter: Open a CSV writer to write to a file.
open(File, TableLayout) - Static method in class org.lenskit.util.table.writer.CSVWriter: Open a CSV writer to write to an auto-compressed file.
openFile(File) - Static method in class org.lenskit.util.io.LineStream: Open a delimited text stream as a file.
openFile(File, CompressionMode) - Static method in class org.lenskit.util.io.LineStream: Open a delimited text stream as a file.
openInput(File, Charset, CompressionMode) - Static method in class org.lenskit.util.io.LKFileUtils: Open a file for input, optionally compressed.
openInput(File, CompressionMode) - Static method in class org.lenskit.util.io.LKFileUtils: Open a file for input with the default charset.
openInput(File) - Static method in class org.lenskit.util.io.LKFileUtils: Open a reader with automatic compression and the default character set.
openOutput(File, Charset, CompressionMode) - Static method in class org.lenskit.util.io.LKFileUtils: Open a file for input, optionally compressed.
openOutput(File, CompressionMode) - Static method in class org.lenskit.util.io.LKFileUtils: Open a file for output with the default charset.
openOutput(File) - Static method in class org.lenskit.util.io.LKFileUtils: Open a reader with automatic compression inference.
openOutputStream() - Method in class org.lenskit.util.io.StagedWrite: Open an output stream for the staging file.
openStream() - Method in interface org.lenskit.data.dao.file.EntitySource: Get the data from this entity source.
openStream() - Method in class org.lenskit.data.dao.file.TextEntitySource: Open a stream to read entities from this source.
openStream() - Method in class org.lenskit.util.io.CompressedByteSource
orderBy(TypedName<? extends Comparable<?>>) - Method in interface org.lenskit.data.dao.Query: Sort the query results by a field.
orderBy(TypedName<? extends Comparable<?>>, SortOrder) - Method in interface org.lenskit.data.dao.Query: Sort the query results by a field.
ordering() - Method in class org.lenskit.data.dao.SortKey: Create an ordering (comparator) over entities from this sort key.
OrdRecRatingPredictor - Class in org.lenskit.predict.ordrec: OrdRec implementation of rating prediction.
OrdRecRatingPredictor(ItemScorer, DataAccessObject, Quantizer, double, double, int) - Constructor for class org.lenskit.predict.ordrec.OrdRecRatingPredictor: Construct a new OrdRec rating predictor.
OrdRecRatingPredictor.FullResult - Class in org.lenskit.predict.ordrec: The result type of OrdRec rating predictions.
org.grouplens.lenskit.iterative - package org.grouplens.lenskit.iterative: Common utilities for iterative methods.
org.grouplens.lenskit.transform.clamp - package org.grouplens.lenskit.transform.clamp: Clamping functions.
org.grouplens.lenskit.transform.threshold - package org.grouplens.lenskit.transform.threshold: Threshold values.
org.grouplens.lenskit.transform.truncate - package org.grouplens.lenskit.transform.truncate
org.lenskit - package org.lenskit
org.lenskit.api - package org.lenskit.api: Interfaces defining an implementation-independent recommendation API.
org.lenskit.baseline - package org.lenskit.baseline: Baseline scorers.
org.lenskit.basic - package org.lenskit.basic: Basic component implementations.
org.lenskit.bias - package org.lenskit.bias: User-item bias models, suitable for use in baseline scorers and normalizers.
org.lenskit.cli - package org.lenskit.cli: LensKit command line commands and infrastructure.
org.lenskit.cli.commands - package org.lenskit.cli.commands: Commands for the LensKit CLI.
org.lenskit.cli.util - package org.lenskit.cli.util: Helper utilities for the LensKit CLI.
org.lenskit.config - package org.lenskit.config: Configuration loading support.
org.lenskit.data.dao - package org.lenskit.data.dao: LensKit data access objects.
org.lenskit.data.dao.file - package org.lenskit.data.dao.file
org.lenskit.data.entities - package org.lenskit.data.entities: Code for LensKit’s core entity data model.
org.lenskit.data.output - package org.lenskit.data.output
org.lenskit.data.ratings - package org.lenskit.data.ratings: Ratings data type.
org.lenskit.data.store - package org.lenskit.data.store: In-memory storage of entities.
org.lenskit.eval.crossfold - package org.lenskit.eval.crossfold
org.lenskit.eval.temporal - package org.lenskit.eval.temporal
org.lenskit.eval.traintest - package org.lenskit.eval.traintest: Train-test evaluation support.
org.lenskit.eval.traintest.metrics - package org.lenskit.eval.traintest.metrics
org.lenskit.eval.traintest.predict - package org.lenskit.eval.traintest.predict: Prediction accuracy measurements for the train-test evaluator.
org.lenskit.eval.traintest.recommend - package org.lenskit.eval.traintest.recommend
org.lenskit.external - package org.lenskit.external
org.lenskit.graph - package org.lenskit.graph: Support code for visualizing recommender graphs.
org.lenskit.hybrid - package org.lenskit.hybrid: Hybrid recommenders.
org.lenskit.inject - package org.lenskit.inject: Support classes for working with dependency injection.
org.lenskit.knn - package org.lenskit.knn: Neighborhood-based collaborative filtering (common support code).
org.lenskit.knn.item - package org.lenskit.knn.item: Implementation of item-item collaborative filtering.
org.lenskit.knn.item.model - package org.lenskit.knn.item.model: Model classes and builders for the item-item k-NN collaborative filter.
org.lenskit.knn.user - package org.lenskit.knn.user: Implementation of user-user collaborative filtering.
org.lenskit.predict - package org.lenskit.predict
org.lenskit.predict.ordrec - package org.lenskit.predict.ordrec
org.lenskit.rerank - package org.lenskit.rerank: re-ranking recommenders.
org.lenskit.results - package org.lenskit.results
org.lenskit.similarity - package org.lenskit.similarity: Similarity functions over vectors.
org.lenskit.slopeone - package org.lenskit.slopeone
org.lenskit.transform.normalize - package org.lenskit.transform.normalize: Interfaces and classes for data normalization.
org.lenskit.transform.quantize - package org.lenskit.transform.quantize: Quantize values.
org.lenskit.util - package org.lenskit.util
org.lenskit.util.collections - package org.lenskit.util.collections: Custom collections and related utilities.
org.lenskit.util.describe - package org.lenskit.util.describe: The ‘describer’ framework.
org.lenskit.util.io - package org.lenskit.util.io
org.lenskit.util.keys - package org.lenskit.util.keys: Data structures indexed by long IDs (keys).
org.lenskit.util.math - package org.lenskit.util.math
org.lenskit.util.monitor - package org.lenskit.util.monitor
org.lenskit.util.parallel - package org.lenskit.util.parallel: Utilities for parallel and concurrent computation.
org.lenskit.util.reflect - package org.lenskit.util.reflect
org.lenskit.util.table - package org.lenskit.util.table
org.lenskit.util.table.writer - package org.lenskit.util.table.writer: Utilities for writing two-dimensional tables of data.
OutputFormat - Enum in org.lenskit.data.output

P

PackedRatingMatrix - Class in org.lenskit.data.ratings: An in-memory snapshot of rating data stored in packed arrays.
PackedRatingMatrixProvider - Class in org.lenskit.data.ratings: Build a packed rating matrix from the available rating events.
PackedRatingMatrixProvider(RatingVectorPDAO, Random) - Constructor for class org.lenskit.data.ratings.PackedRatingMatrixProvider
packedSet(Collection<Long>) - Static method in class org.lenskit.util.collections.LongUtils: Pack longs into a sorted set.
packedSet(long...) - Static method in class org.lenskit.util.collections.LongUtils: Pack longs into a sorted set.
parallel() - Method in class org.lenskit.util.io.AbstractObjectStream
Parameter - Annotation Type in org.lenskit.inject: Annotation for component parameters.
parse(String) - Method in class org.lenskit.data.dao.file.LineEntityParser: Parse an entity from a line of text.
parse(String) - Static method in class org.lenskit.eval.traintest.metrics.Discounts: Parse a discount expression from a string.
parseString(String) - Method in class org.lenskit.data.entities.TypedName: Parse a string containing this attribute’s value.
partition(List<? extends Rating>) - Method in class org.lenskit.eval.crossfold.FractionHistoryPartitionMethod
partition(List<? extends Rating>) - Method in interface org.lenskit.eval.crossfold.HistoryPartitionMethod: Compute a partition of of the data.
partition(List<? extends Rating>) - Method in class org.lenskit.eval.crossfold.HoldoutNHistoryPartitionMethod
partition(List<? extends Rating>) - Method in class org.lenskit.eval.crossfold.RetainNHistoryPartitionMethod
partitionEntities() - Static method in class org.lenskit.eval.crossfold.CrossfoldMethods: Create a crossfold method that partitions ratings into disjoint partitions.
partitionItems(HistoryPartitionMethod) - Static method in class org.lenskit.eval.crossfold.CrossfoldMethods: Create a crossfold method that splits items into disjoint partitions.
partitionUsers(SortOrder, HistoryPartitionMethod) - Static method in class org.lenskit.eval.crossfold.CrossfoldMethods: Create a crossfold method that splits users into disjoint partitions.
PearsonCorrelation - Class in org.lenskit.similarity: Similarity function using Pearson correlation.
PearsonCorrelation() - Constructor for class org.lenskit.similarity.PearsonCorrelation
PearsonCorrelation(double) - Constructor for class org.lenskit.similarity.PearsonCorrelation
peek(Consumer<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
pickRandom(Set<Long>, int) - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript: Pick a random subset of a set of items.
PlaceholderSatisfaction - Class in org.lenskit.inject: A placeholder satisfaction for graph rewriting.
PlaceholderSatisfaction(Class<?>) - Constructor for class org.lenskit.inject.PlaceholderSatisfaction
PopResult(double) - Constructor for class org.lenskit.eval.traintest.recommend.TopNPopularityMetric.PopResult
PopularItemRecommender - Class in org.lenskit.basic: Recommend the most popular items.
PopularItemRecommender(InteractionStatistics, DataAccessObject) - Constructor for class org.lenskit.basic.PopularItemRecommender: Create a new popular item recommender.
PopularityRankItemScorer - Class in org.lenskit.basic: Item scorer scores items based on their popularity rank.
PopularityRankItemScorer(InteractionStatistics) - Constructor for class org.lenskit.basic.PopularityRankItemScorer
precision - Variable in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric.PresRecResult
PrecomputedItemScorer - Class in org.lenskit.basic: An item scorer that stores a precomputed map of item scores.
PrecomputedItemScorer.Builder - Class in org.lenskit.basic: Builder for mock item scorers.
predict(long, long) - Method in interface org.lenskit.api.RatingPredictor: Predict a user’s rating for a single item.
predict(long, Collection<Long>) - Method in interface org.lenskit.api.RatingPredictor: Predict the user’s preference for a collection of items.
predict(long, long) - Method in class org.lenskit.basic.AbstractRatingPredictor: Predict a user’s rating for a single item.
predict(long, Collection<Long>) - Method in class org.lenskit.basic.AbstractRatingPredictor: Predict the user’s preference for a collection of items.
predict(long, long) - Method in class org.lenskit.basic.SimpleRatingPredictor
predict(long, Collection<Long>) - Method in class org.lenskit.basic.SimpleRatingPredictor
Predict - Class in org.lenskit.cli.commands: Predict item ratings for a user.
Predict() - Constructor for class org.lenskit.cli.commands.Predict
predict(long, Collection<Long>) - Method in class org.lenskit.predict.ordrec.OrdRecRatingPredictor
PredictEvalTask - Class in org.lenskit.eval.traintest.predict: An eval task that attempts to predict the user’s test ratings.
PredictEvalTask() - Constructor for class org.lenskit.eval.traintest.predict.PredictEvalTask: Create a new eval task.
PredictionScorer - Annotation Type in org.lenskit.basic: Qualifier for item scorer used to produce rating predictions by SimpleRatingPredictor.
PredictMetric<X> - Class in org.lenskit.eval.traintest.predict: Base class for metrics that measure predictions for users.
PredictMetric(List<String>, List<String>) - Constructor for class org.lenskit.eval.traintest.predict.PredictMetric: Construct a new result metric.
PredictMetric(Class<? extends TypedMetricResult>, Class<? extends TypedMetricResult>) - Constructor for class org.lenskit.eval.traintest.predict.PredictMetric: Construct a new result metric.
predictWithDetails(long, Collection<Long>) - Method in interface org.lenskit.api.RatingPredictor: Predict the user’s preference for a collection of items, potentially with additional details.
predictWithDetails(long, Collection<Long>) - Method in class org.lenskit.basic.SimpleRatingPredictor
predictWithDetails(long, Collection<Long>) - Method in class org.lenskit.predict.KnownRatingRatingPredictor
predictWithDetails(long, Collection<Long>) - Method in class org.lenskit.predict.ordrec.OrdRecRatingPredictor: Compute detailed predictions for the user.
predictWithDetails(long, Collection<Long>) - Method in class org.lenskit.predict.QuantizedRatingPredictor
prefDomain(Map<String, Object>) - Method in class org.lenskit.config.BindingDSL: Make a preference domain.
Preference - Interface in org.lenskit.data.ratings: A real-valued preference a user has for an item.
PreferenceDomain - Class in org.lenskit.data.ratings: An object describing the domain of preference data, used in ratings and predictions.
PreferenceDomain(double, double, double) - Constructor for class org.lenskit.data.ratings.PreferenceDomain: Create a discrete bounded preference domain.
PreferenceDomain(double, double) - Constructor for class org.lenskit.data.ratings.PreferenceDomain: Create a continuous bounded preference domain.
PreferenceDomainBuilder - Class in org.lenskit.data.ratings: Build a PreferenceDomain.
PreferenceDomainBuilder() - Constructor for class org.lenskit.data.ratings.PreferenceDomainBuilder: Create an uninitialized preference domain builder.
PreferenceDomainBuilder(double, double) - Constructor for class org.lenskit.data.ratings.PreferenceDomainBuilder: Create a preference domain builder with a specified minimum and maximum.
PreferenceDomainQuantizer - Class in org.lenskit.transform.quantize: Quantizer that uses a range and precision to determine discrete values.
PreferenceDomainQuantizer(PreferenceDomain) - Constructor for class org.lenskit.transform.quantize.PreferenceDomainQuantizer: Create a new quantizer from a discrete preference domain.
PreferenceDomainQuantizer(double, double, double) - Constructor for class org.lenskit.transform.quantize.PreferenceDomainQuantizer: Create a new preference domain quantizer.
PreferenceDomainQuantizer.AutoProvider - Class in org.lenskit.transform.quantize
preferenceEquivalence() - Static method in class org.lenskit.data.ratings.Ratings: An equivalence relation over preferences.
prefixed(TableWriter, List<?>) - Static method in class org.lenskit.util.table.writer.TableWriters: Create a table writer that writes data with common leading columns to an underlying table writer.
prefixed(TableWriter, Object...) - Static method in class org.lenskit.util.table.writer.TableWriters: Create a table writer that writes data with common leading columns to an underlying table writer.
prefixTable(TableWriter, DataSet, AlgorithmInstance) - Method in class org.lenskit.eval.traintest.ExperimentOutputLayout: Prefix a table for a particular algorithm and data set.
PresRecResult(double, double) - Constructor for class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric.PresRecResult
PrimaryScorer - Annotation Type in org.lenskit.basic: The primary scorer for a FallbackItemScorer.
PRMetricSpec - Class in org.lenskit.eval.traintest.recommend: Specification class for configuring precision/recall metrics.
PRMetricSpec() - Constructor for class org.lenskit.eval.traintest.recommend.PRMetricSpec
process(Set<? extends TypeElement>, RoundEnvironment) - Method in class org.lenskit.inject.LenskitAnnotationProcessor
processNode(DAGNode<Component, Dependency>, DAGNode<Component, Dependency>) - Method in interface org.lenskit.inject.NodeProcessor: Process a graph node.
processNodes(DAGNode<Component, Dependency>, Collection<DAGNode<Component, Dependency>>, NodeProcessor) - Static method in class org.lenskit.inject.NodeProcessors: Process a set of nodes in a graph using a node processor.
ProgressLogger - Class in org.lenskit.util: Utility class for logging progress of some long-running process.
progressUpdate(JobEvent.ProgressUpdate) - Method in class org.lenskit.eval.traintest.StatusLogger
project(Entity, Class<E>) - Static method in class org.lenskit.data.entities.Entities: Project an entity to a target view type.
projection(Class<E>) - Static method in class org.lenskit.data.entities.Entities: Create a projection function that maps entities to a new view.
propertyMissing(String) - Method in class org.lenskit.config.LenskitConfigScript: Groovy override to provide usage hints with missing properties.
put(long, double) - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Put a new item in the accumulator.
put(long, double) - Method in class org.lenskit.util.collections.TopNLong2DoubleAccumulator
put(long, double) - Method in class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
putAll(Long2DoubleMap) - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Add all items from a map to the accumulator.
putField(String, Object) - Method in class org.lenskit.util.describe.AbstractDescriptionWriter
putField(String, String) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put a field into the description.
putField(String, long) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put an integer field.
putField(String, double) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put a floating-point field.
putField(String, byte[]) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put a byte array field.
putField(String, Object) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put an object field into the description.
putField(String, T, Describer<? super T>) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put an object field into the description.
putField(String, String) - Method in class org.lenskit.util.describe.HashDescriptionWriter
putField(String, long) - Method in class org.lenskit.util.describe.HashDescriptionWriter
putField(String, double) - Method in class org.lenskit.util.describe.HashDescriptionWriter
putField(String, byte[]) - Method in class org.lenskit.util.describe.HashDescriptionWriter
putField(String, T, Describer<? super T>) - Method in class org.lenskit.util.describe.HashDescriptionWriter
putField(String, String) - Method in class org.lenskit.util.describe.StringDescriptionWriter
putField(String, long) - Method in class org.lenskit.util.describe.StringDescriptionWriter
putField(String, double) - Method in class org.lenskit.util.describe.StringDescriptionWriter
putField(String, byte[]) - Method in class org.lenskit.util.describe.StringDescriptionWriter
putField(String, T, Describer<? super T>) - Method in class org.lenskit.util.describe.StringDescriptionWriter
putItemPair(long, Long2DoubleSortedMap, long, Long2DoubleSortedMap) - Method in class org.lenskit.slopeone.SlopeOneModelDataAccumulator: Puts the item pair into the accumulator.
putList(String, Iterable<?>) - Method in class org.lenskit.util.describe.AbstractDescriptionWriter
putList(String, Iterable<?>) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put a field with a list of values, using the default describer.
putList(String, Iterable<T>, Describer<? super T>) - Method in interface org.lenskit.util.describe.DescriptionWriter: Put a field with a list of values.
putList(String, Iterable<T>, Describer<? super T>) - Method in class org.lenskit.util.describe.HashDescriptionWriter
putList(String, Iterable<T>, Describer<? super T>) - Method in class org.lenskit.util.describe.StringDescriptionWriter

Q

quantize(double) - Method in interface org.lenskit.transform.quantize.Quantizer: Convert a value into a quantized value, returning the quantized value.
quantize(double) - Method in class org.lenskit.transform.quantize.ValueArrayQuantizer
QuantizedRatingPredictor - Class in org.lenskit.predict: A rating predictor wrapper that quantizes scores to compute predictions.
QuantizedRatingPredictor(ItemScorer, Quantizer) - Constructor for class org.lenskit.predict.QuantizedRatingPredictor: Construct a new quantized predictor.
Quantizer - Interface in org.lenskit.transform.quantize: Quantize real values into discrete values.
query(EntityType) - Method in class org.lenskit.data.dao.AbstractDataAccessObject
query(Class<V>) - Method in class org.lenskit.data.dao.AbstractDataAccessObject: Start a query for a particular type using the fluent query interface.
query(EntityType) - Method in interface org.lenskit.data.dao.DataAccessObject: Start a query using the fluent query interface.
query(Class<V>) - Method in interface org.lenskit.data.dao.DataAccessObject: Start a query for a particular type using the fluent query interface.
Query<E extends Entity> - Interface in org.lenskit.data.dao: Fluent interface for DAO queries.

R

RandomGeneratorProvider - Class in org.lenskit.util: Provide a JDKRandomGenerator instance.
RandomGeneratorProvider() - Constructor for class org.lenskit.util.RandomGeneratorProvider
RandomProvider - Class in org.lenskit.util: Provide a Random instance.
RandomProvider() - Constructor for class org.lenskit.util.RandomProvider
randomSubset(LongSet, int, Random) - Static method in class org.lenskit.util.collections.LongUtils: Selects a random subset of n longs from a given set of longs.
randomSubset(LongSet, int, LongSet, Random) - Static method in class org.lenskit.util.collections.LongUtils: Selects a random subset of n longs from a given set of longs such that no selected items is in a second set of longs.
randomSubset(Random, int, LongSet...) - Method in class org.lenskit.util.keys.LongSortedArraySet: Compute a random subset of this set.
randomUnseen(TestUser, int) - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.ItemSelectScript
rank - Variable in class org.lenskit.eval.traintest.recommend.TopNMRRMetric.UserResult
RankBlendingItemRecommender - Class in org.lenskit.hybrid: Hybrid item recommender that blends the ranks produced by two recommenders.
RankBlendingItemRecommender(ItemRecommender, ItemRecommender, double) - Constructor for class org.lenskit.hybrid.RankBlendingItemRecommender: Construct a new rank-blending recommender.
RankBlendingItemRecommender.Left - Annotation Type in org.lenskit.hybrid: The ‘left’ recommender for the blending recommender.
RankBlendingItemRecommender.Right - Annotation Type in org.lenskit.hybrid: The ‘right’ recommender for a hybrid.
RankBlendResult - Class in org.lenskit.hybrid: Result type returned by RankBlendingItemRecommender.
RATING - Static variable in class org.lenskit.data.entities.CommonAttributes: A rating value.
RATING - Static variable in class org.lenskit.data.entities.CommonTypes: Type identifier for rating entities.
rating(long, long, double) - Method in class org.lenskit.data.entities.EntityFactory
rating(long, long, double, long) - Method in class org.lenskit.data.entities.EntityFactory
Rating - Class in org.lenskit.data.ratings: A user rating an item.
Rating.WithTimestamp - Class in org.lenskit.data.ratings
RatingBuilder - Class in org.lenskit.data.ratings: Build a Rating.
RatingBuilder() - Constructor for class org.lenskit.data.ratings.RatingBuilder: Create an uninitialized rating builder.
RatingBuilder(EntityType) - Constructor for class org.lenskit.data.ratings.RatingBuilder: Create an unitialized rating builder.
RatingMatrix - Interface in org.lenskit.data.ratings: Snapshot of the ratings data for building a recommender.
RatingMatrixEntry - Class in org.lenskit.data.ratings: An entry in a RatingMatrix.
RatingMatrixEntry() - Constructor for class org.lenskit.data.ratings.RatingMatrixEntry
RatingPredictor - Interface in org.lenskit.api: Predict user ratings.
RatingPredictorItemScorer - Class in org.lenskit.predict: Item scorer that uses rating predictions.
RatingPredictorItemScorer(RatingPredictor) - Constructor for class org.lenskit.predict.RatingPredictorItemScorer
RatingRangeClampingFunction - Class in org.grouplens.lenskit.transform.clamp: Clamp values to the range of valid ratings.
RatingRangeClampingFunction(PreferenceDomain) - Constructor for class org.grouplens.lenskit.transform.clamp.RatingRangeClampingFunction
Ratings - Class in org.lenskit.data.ratings: Utilities for working with ratings.
RatingSummary - Class in org.lenskit.data.ratings: A summary of the ratings data.
RatingSummaryProvider - Class in org.lenskit.data.ratings: Default builder for rating summaries.
RatingSummaryProvider(DataAccessObject) - Constructor for class org.lenskit.data.ratings.RatingSummaryProvider
RatingVectorPDAO - Interface in org.lenskit.data.ratings: Proxy DAO for user ‘rating vectors’, which are mappings of items to user preference.
RatingWriter - Interface in org.lenskit.data.output: Interface for writing ratings.
RatingWriters - Class in org.lenskit.data.output
readIdList(File) - Static method in class org.lenskit.util.io.LKFileUtils: Read a list of long IDs from a file, one per line.
readObject() - Method in class org.lenskit.util.io.GroupingObjectStream
readObject() - Method in class org.lenskit.util.io.LineStream
readObject() - Method in interface org.lenskit.util.io.ObjectStream: Read the next object from this stream.
RealThreshold - Class in org.grouplens.lenskit.transform.threshold: Checks similarity values to ensure their real values are over the ThresholdValue.
RealThreshold(double) - Constructor for class org.grouplens.lenskit.transform.threshold.RealThreshold
recall - Variable in class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric.PresRecResult
recommend(long) - Method in interface org.lenskit.api.ItemRecommender: Recommend all possible items for a user using the default exclude set.
recommend(long, int) - Method in interface org.lenskit.api.ItemRecommender: Recommend up to n items for a user using the default exclude set.
recommend(long, int, Set<Long>, Set<Long>) - Method in interface org.lenskit.api.ItemRecommender: Produce a set of recommendations for the user.
recommend(long) - Method in class org.lenskit.basic.AbstractItemRecommender: Recommend all possible items for a user using the default exclude set.
recommend(long, int) - Method in class org.lenskit.basic.AbstractItemRecommender: Recommend up to n items for a user using the default exclude set.
recommend(long, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.AbstractItemRecommender: Produce a set of recommendations for the user.
recommend(long, int, LongSet, LongSet) - Method in class org.lenskit.basic.AbstractItemRecommender: Primary method for implementing an item recommender without details.
recommend(long, int, LongSet, LongSet) - Method in class org.lenskit.basic.PopularItemRecommender
recommend(long) - Method in class org.lenskit.basic.RescoringItemRecommender
recommend(long, int) - Method in class org.lenskit.basic.RescoringItemRecommender
recommend(long, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.RescoringItemRecommender
recommend(int, ResultMap) - Method in class org.lenskit.basic.TopNItemBasedItemRecommender: Pick the top n items from a score vector.
recommend(long, int, LongSet, LongSet) - Method in class org.lenskit.basic.TopNItemRecommender: Implement recommendation by calling ItemScorer.score(long, Collection) and sorting the results by score.
Recommend - Class in org.lenskit.cli.commands: Generate Top-N recommendations for users.
Recommend() - Constructor for class org.lenskit.cli.commands.Recommend
Recommender - Interface in org.lenskit.api: Main entry point for accessing recommender components.
RecommenderBuildException - Exception in org.lenskit.api: Exception thrown when there is an error building a recommender.
RecommenderBuildException() - Constructor for exception org.lenskit.api.RecommenderBuildException: Consruct a new recommender build exception.
RecommenderBuildException(String) - Constructor for exception org.lenskit.api.RecommenderBuildException: Construct exception with a message.
RecommenderBuildException(String, Throwable) - Constructor for exception org.lenskit.api.RecommenderBuildException: Construct exception with a message and cause.
RecommenderBuildException(Throwable) - Constructor for exception org.lenskit.api.RecommenderBuildException: Construct an exception with a cause.
RecommenderConfigurationException - Exception in org.lenskit: Error thrown when an error occurs resolving the recommender configuration graph.
RecommenderConfigurationException() - Constructor for exception org.lenskit.RecommenderConfigurationException
RecommenderConfigurationException(String) - Constructor for exception org.lenskit.RecommenderConfigurationException
RecommenderConfigurationException(String, Throwable) - Constructor for exception org.lenskit.RecommenderConfigurationException
RecommenderConfigurationException(Throwable) - Constructor for exception org.lenskit.RecommenderConfigurationException
RecommenderEngine - Interface in org.lenskit.api: Service providing access to a recommender.
RecommenderGraphBuilder - Class in org.lenskit.inject: Build recommender graphs.
RecommenderGraphBuilder() - Constructor for class org.lenskit.inject.RecommenderGraphBuilder
RecommenderInstantiator - Class in org.lenskit.inject: Process a recommender graph to deal with its shareable nodes.
RecommenderLoader - Class in org.lenskit.cli.util: Load recommenders from models or configurations.
RecommenderLoader(InputData, ScriptEnvironment, Namespace) - Constructor for class org.lenskit.cli.util.RecommenderLoader
RecommendEvalTask - Class in org.lenskit.eval.traintest.recommend: An eval task that attempts to recommend items for a test user.
RecommendEvalTask() - Constructor for class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Create a new recommend eval task.
recommendRelatedItems(long) - Method in interface org.lenskit.api.ItemBasedItemRecommender: Recommend all possible items for a reference item using the default exclude set.
recommendRelatedItems(long, int) - Method in interface org.lenskit.api.ItemBasedItemRecommender: Recommend up to n possible items for a reference item using the default exclude set.
recommendRelatedItems(Set<Long>) - Method in interface org.lenskit.api.ItemBasedItemRecommender: Recommend all possible items for a set of reference items using the default exclude set.
recommendRelatedItems(Set<Long>, int) - Method in interface org.lenskit.api.ItemBasedItemRecommender: Recommend up to n items for a set of reference items using the default exclude set.
recommendRelatedItems(Set<Long>, int, Set<Long>, Set<Long>) - Method in interface org.lenskit.api.ItemBasedItemRecommender: Produce a set of recommendations for the item.
recommendRelatedItems(long, int) - Method in class org.lenskit.basic.AbstractItemBasedItemRecommender: Recommend up to n possible items for a reference item using the default exclude set.
recommendRelatedItems(long) - Method in class org.lenskit.basic.AbstractItemBasedItemRecommender: Recommend all possible items for a reference item using the default exclude set.
recommendRelatedItems(Set<Long>, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.AbstractItemBasedItemRecommender: Produce a set of recommendations for the item.
recommendRelatedItems(Set<Long>, int) - Method in class org.lenskit.basic.AbstractItemBasedItemRecommender: Recommend up to n items for a set of reference items using the default exclude set.
recommendRelatedItems(Set<Long>) - Method in class org.lenskit.basic.AbstractItemBasedItemRecommender: Recommend all possible items for a set of reference items using the default exclude set.
recommendRelatedItems(long) - Method in class org.lenskit.basic.PopularItemRecommender
recommendRelatedItems(long, int) - Method in class org.lenskit.basic.PopularItemRecommender
recommendRelatedItems(Set<Long>) - Method in class org.lenskit.basic.PopularItemRecommender
recommendRelatedItems(Set<Long>, int) - Method in class org.lenskit.basic.PopularItemRecommender
recommendRelatedItems(Set<Long>, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.PopularItemRecommender
recommendRelatedItemsWithDetails(Set<Long>, int, Set<Long>, Set<Long>) - Method in interface org.lenskit.api.ItemBasedItemRecommender: Produce a set of recommendations for the item, with details.
recommendRelatedItemsWithDetails(Set<Long>, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.PopularItemRecommender
recommendRelatedItemsWithDetails(Set<Long>, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.TopNItemBasedItemRecommender
recommendWithDetails(long, int, Set<Long>, Set<Long>) - Method in interface org.lenskit.api.ItemRecommender: Produce a set of recommendations for the user with additional details.
recommendWithDetails(long, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.AbstractItemRecommender
recommendWithDetails(long, int, LongSet, LongSet) - Method in class org.lenskit.basic.AbstractItemRecommender: Primary method for implementing an item recommender.
recommendWithDetails(long, int, LongSet, LongSet) - Method in class org.lenskit.basic.PopularItemRecommender
recommendWithDetails(long, int, Set<Long>, Set<Long>) - Method in class org.lenskit.basic.RescoringItemRecommender
recommendWithDetails(long, int, LongSet, LongSet) - Method in class org.lenskit.basic.TopNItemRecommender: Implement recommendation by calling ItemScorer.scoreWithDetails(long, Collection) and sorting the results.
recommendWithDetails(long, int, LongSet, LongSet) - Method in class org.lenskit.hybrid.RankBlendingItemRecommender
recommendWithDetails(long, int, LongSet, LongSet) - Method in class org.lenskit.rerank.GreedyRerankingItemRecommender
reduce(T, BinaryOperator<T>) - Method in class org.lenskit.util.io.AbstractObjectStream
reduce(BinaryOperator<T>) - Method in class org.lenskit.util.io.AbstractObjectStream
reduce(U, BiFunction<U, ? super T, U>, BinaryOperator<U>) - Method in class org.lenskit.util.io.AbstractObjectStream
RegularizationTerm - Annotation Type in org.grouplens.lenskit.iterative: The regularization factor applied in many iterative methods.
remove() - Method in class org.lenskit.util.io.ObjectStreamIterator
removeLong(int) - Method in class org.lenskit.util.collections.CompactableLongArrayList
renderGraph(DAGNode<Component, Dependency>, Writer) - Static method in class org.lenskit.graph.GraphDumper: Render a graph to a file.
repeat(T, int) - Static method in class org.lenskit.util.collections.CollectionUtils: Return a list that repeats a single object multiple times.
rescore(Result, double) - Static method in class org.lenskit.results.Results: Create a rescored result.
rescore(Result, Result) - Static method in class org.lenskit.results.Results: Create a rescored result with details.
RescoredResult - Class in org.lenskit.results: A result that wraps another result with a different score.
RescoringItemRecommender - Class in org.lenskit.basic: Item recommender that wraps a base item recommender and replaces its scores with those produced by another item scorer.
RescoringItemRecommender(ItemRecommender, ItemScorer) - Constructor for class org.lenskit.basic.RescoringItemRecommender: Create a new rescoring item recommender.
reset() - Method in class org.lenskit.data.entities.EntityBuilder: Reset this entity builder, clearing all properties except the entity type.
reset() - Method in class org.lenskit.data.ratings.RatingBuilder
reset() - Method in class org.lenskit.util.math.MutualInformationAccumulator: Reset to start accumulating again.
resolveClass(ObjectStreamClass) - Method in class org.lenskit.util.io.CustomClassLoaderObjectInputStream
resolveTypeName(String) - Static method in class org.lenskit.util.TypeUtils: Resolve a type name into a type.
Result - Interface in org.lenskit.api: A LensKit result, consisting of a score and an ID.
ResultAccumulator - Class in org.lenskit.results: Accumulator for sorted lists of results.
ResultList - Interface in org.lenskit.api: A list of results from a recommender operation.
ResultMap - Interface in org.lenskit.api: A map of results from a recommender operation.
ResultMetric<X> - Class in org.lenskit.eval.traintest.metrics: Base class for metrics that measure individual recommendation or prediction results.
ResultMetric(List<String>, List<String>) - Constructor for class org.lenskit.eval.traintest.metrics.ResultMetric: Construct a new result metric.
ResultMetric(Class<? extends TypedMetricResult>, Class<? extends TypedMetricResult>) - Constructor for class org.lenskit.eval.traintest.metrics.ResultMetric: Construct a new result metric.
Results - Class in org.lenskit.results: Utility functions for working with results.
resultToIndex(int) - Static method in class org.lenskit.util.BinarySearch: Convert a possibly-negative binary search result to an index or insertion point.
retain(double) - Method in class org.grouplens.lenskit.transform.threshold.AbsoluteThreshold
retain(double) - Method in class org.grouplens.lenskit.transform.threshold.NoThreshold
retain(double) - Method in class org.grouplens.lenskit.transform.threshold.RealThreshold
retain(double) - Method in interface org.grouplens.lenskit.transform.threshold.Threshold: Checks a similarity value against retention criteria for inclusion in similarity models.
retain(int) - Static method in class org.lenskit.eval.crossfold.HistoryPartitions: Retain a fixed number of ratings.
RetainNHistoryPartitionMethod - Class in org.lenskit.eval.crossfold: Partition the event list by retaining a fixed number of elements.
RetainNHistoryPartitionMethod(int) - Constructor for class org.lenskit.eval.crossfold.RetainNHistoryPartitionMethod: Create a count partitioner.
RMSEPredictMetric - Class in org.lenskit.eval.traintest.predict: Evaluate a recommender’s prediction accuracy with RMSE.
RMSEPredictMetric() - Constructor for class org.lenskit.eval.traintest.predict.RMSEPredictMetric
RMSEPredictMetric.Context - Class in org.lenskit.eval.traintest.predict
root(Class<?>) - Method in class org.lenskit.config.LenskitConfigDSL: Add a root type.
Row - Interface in org.lenskit.util.table: One row of a data table.
RowBuilder - Class in org.lenskit.util.table: Build a row.
RowBuilder(TableLayout) - Constructor for class org.lenskit.util.table.RowBuilder
run() - Method in class org.lenskit.util.io.LoggingStreamSlurper
RunScript - Class in org.lenskit.cli.commands
RunScript() - Constructor for class org.lenskit.cli.commands.RunScript

S

sampleEntities(int) - Static method in class org.lenskit.eval.crossfold.CrossfoldMethods: Create a crossfold method that creates disjoint samples of entities into disjoint partitions.
sampleItems(HistoryPartitionMethod, int) - Static method in class org.lenskit.eval.crossfold.CrossfoldMethods: Create a crossfold method that splits items into disjoint samples.
sampleUsers(SortOrder, HistoryPartitionMethod, int) - Static method in class org.lenskit.eval.crossfold.CrossfoldMethods: Create a crossfold method that splits users into disjoint samples.
satisfiesConstraint(long, int, List<? extends Result>, Result) - Method in class org.lenskit.rerank.AbstractFilteringGreedyRerankStrategy: Tests if adding the candidate item to the list of recommended items would satisfy a constraint.
satisfiesConstraint(long, int, List<? extends Result>, Result) - Method in class org.lenskit.rerank.AbstractScoringGreedyRerankStrategy: Tests if adding the candidate item to the list of recommended items would satisfy a constraint.
Scalars - Class in org.lenskit.util.math
score(long, long) - Method in interface org.lenskit.api.ItemScorer: Score a single item.
score(long, Collection<Long>) - Method in interface org.lenskit.api.ItemScorer: Score a collection of items.
score(long, long) - Method in class org.lenskit.basic.AbstractItemScorer: Score a single item.
score(long, Collection<Long>) - Method in class org.lenskit.basic.AbstractItemScorer: Score a collection of items.
score(long, long) - Method in class org.lenskit.basic.FallbackItemScorer
score(long, Collection<Long>) - Method in class org.lenskit.basic.PopularityRankItemScorer
score(long, long) - Method in class org.lenskit.basic.PrecomputedItemScorer
score(long, long) - Method in class org.lenskit.bias.BiasItemScorer
score(long, Collection<Long>) - Method in class org.lenskit.bias.BiasItemScorer
score(long, Collection<Long>) - Method in class org.lenskit.knn.item.ItemItemScorer
score(long, Long2DoubleMap, Long2DoubleMap, ItemItemScoreAccumulator) - Method in interface org.lenskit.knn.item.NeighborhoodScorer: Compute a score based on similar neighbors and their corresponding scores.
score(long, Long2DoubleMap, Long2DoubleMap, ItemItemScoreAccumulator) - Method in class org.lenskit.knn.item.SimilaritySumNeighborhoodScorer
score(long, Long2DoubleMap, Long2DoubleMap, ItemItemScoreAccumulator) - Method in class org.lenskit.knn.item.WeightedAverageNeighborhoodScorer
score(long, List<Neighbor>) - Method in class org.lenskit.knn.user.SimilaritySumUserNeighborhoodScorer
score(long, List<Neighbor>) - Method in interface org.lenskit.knn.user.UserNeighborhoodScorer: Compute the score for an item given a list of neighbors.
score(long, List<Neighbor>) - Method in class org.lenskit.knn.user.WeightedAverageUserNeighborhoodScorer
score(long, long) - Method in class org.lenskit.predict.RatingPredictorItemScorer
score(long, Collection<Long>) - Method in class org.lenskit.predict.RatingPredictorItemScorer
score - Variable in class org.lenskit.results.AbstractResult
scoreCandidate(long, int, List<? extends Result>, Result) - Method in class org.lenskit.rerank.AbstractScoringGreedyRerankStrategy: Computes an objective metric score for adding a given candidate item to a list of recommended items.
scoreItem(Long2DoubleMap, long, ItemItemScoreAccumulator) - Method in class org.lenskit.knn.item.ItemItemItemBasedItemScorer: Score a single item into an accumulator.
scoreItem(Long2DoubleMap, long, ItemItemScoreAccumulator) - Method in class org.lenskit.knn.item.ItemItemScorer
scoreMap() - Method in interface org.lenskit.api.ResultMap: View this result set as a map from longs to doubles.
scoreMap() - Method in class org.lenskit.results.BasicResultMap
scoreMap() - Method in interface org.lenskit.results.LenskitResultMap
ScoreNormalizer - Annotation Type in org.lenskit.knn: Qualifier for normalizers used for computing item scores.
scoreOrder() - Static method in class org.lenskit.results.Results: Get an ordering (comparator) that orders results by score.
scorer - Variable in class org.lenskit.basic.TopNItemBasedItemRecommender
scorer - Variable in class org.lenskit.basic.TopNItemRecommender
scorer - Variable in class org.lenskit.knn.item.ItemItemItemBasedItemScorer
scorer - Variable in class org.lenskit.knn.item.ItemItemScorer
scoreRelatedItem(Collection<Long>, long) - Method in interface org.lenskit.api.ItemBasedItemScorer: Score a single item based on a collection of items (e.g.
scoreRelatedItem(Collection<Long>, long) - Method in class org.lenskit.basic.AbstractItemBasedItemScorer: Score a single item based on a collection of items (e.g.
scoreRelatedItems(Collection<Long>, Collection<Long>) - Method in interface org.lenskit.api.ItemBasedItemScorer: Score a collection of items based on a collection of items (e.g.
scoreRelatedItems(Collection<Long>, Collection<Long>) - Method in class org.lenskit.basic.AbstractItemBasedItemScorer: Score a collection of items based on a collection of items (e.g.
scoreRelatedItems(Collection<Long>, Collection<Long>) - Method in class org.lenskit.knn.item.ItemItemItemBasedItemScorer
scoreRelatedItemsWithDetails(Collection<Long>, Collection<Long>) - Method in interface org.lenskit.api.ItemBasedItemScorer: Score a collection of items based on a collection of items (e.g.
scoreRelatedItemsWithDetails(Collection<Long>, Collection<Long>) - Method in class org.lenskit.knn.item.ItemItemItemBasedItemScorer
scoreWithDetails(long, Collection<Long>) - Method in interface org.lenskit.api.ItemScorer: Score a collection of items and potentially return more details on the scores.
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.baseline.ItemMeanRatingItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.baseline.LeastSquaresItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.baseline.UserMeanItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.basic.ConstantItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.basic.FallbackItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.basic.PopularityRankItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.basic.PrecomputedItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.basic.SimpleCachingItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.bias.BiasItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.knn.item.ItemItemScorer: Score items by computing predicted ratings.
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.knn.user.UserUserItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.predict.RatingPredictorItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.slopeone.SlopeOneItemScorer
scoreWithDetails(long, Collection<Long>) - Method in class org.lenskit.slopeone.WeightedSlopeOneItemScorer
ScriptEnvironment - Class in org.lenskit.cli.util: Class managing environments for running various scripts and classes.
ScriptEnvironment(Namespace) - Constructor for class org.lenskit.cli.util.ScriptEnvironment
search(int, int) - Method in class org.lenskit.util.BinarySearch: Perform a binary search across a range of integers.
selectItems(LongSet, Recommender, TestUser) - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.GroovyItemSelector
selectItems(LongSet, Recommender, TestUser) - Method in class org.lenskit.eval.traintest.recommend.ItemSelector: Select a set of items for recommendation.
selfExtractor() - Static method in class org.lenskit.util.keys.Keys
sequential() - Method in class org.lenskit.util.io.AbstractObjectStream
serialVersionUID - Static variable in class org.lenskit.data.ratings.PreferenceDomain
set(Class<? extends Annotation>) - Method in class org.lenskit.config.BindingDSL
set(AbstractBeanEntityBuilder, Object) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder.AttrMethod
set(AbstractBeanEntityBuilder, double) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder.DoubleAttrMethod
set(AbstractBeanEntityBuilder, long) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder.LongAttrMethod
set(Class<? extends Annotation>) - Method in class org.lenskit.inject.AbstractConfigContext
set(Class<? extends Annotation>) - Method in interface org.lenskit.LenskitConfigContext: Start a binding that sets a parameter.
set(int, long) - Method in class org.lenskit.util.collections.CompactableLongArrayList
setAlgorithm(AlgorithmInstance) - Method in class org.lenskit.eval.temporal.TemporalEvaluator: Adds an algorithmInfo
setAlgorithm(String, LenskitConfiguration) - Method in class org.lenskit.eval.temporal.TemporalEvaluator: An algorithm instance constructed with a name and Lenskit configuration
setAttribute(TypedName<T>, T) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder
setAttribute(TypedName<T>, T) - Method in class org.lenskit.data.entities.BasicEntityBuilder
setAttribute(TypedName<T>, T) - Method in class org.lenskit.data.entities.EntityBuilder: Set an attribute in the entity.
setAttribute(Attribute<T>) - Method in class org.lenskit.data.entities.EntityBuilder: Set an attribute in the entity.
setAttribute(String, Object) - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Set an attribute for this algorithm instance.
setAttribute(String, Object) - Method in class org.lenskit.eval.traintest.DataSetBuilder
setBaseId(long) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Set the base entity ID for this source.
setBaseURI(URI) - Method in class org.lenskit.config.LenskitConfigDSL: Set the base URI for this configuration.
setCacheDirectory(Path) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Set the cache directory for model components.
setCandidateSelector(ItemSelector) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Set the candidate selector.
setClassLoader(ClassLoader) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Set the class loader for this experiment.
setClassLoader(ClassLoader) - Method in class org.lenskit.inject.RecommenderGraphBuilder
setClassLoader(ClassLoader) - Method in class org.lenskit.LenskitRecommenderEngineBuilder: Set the class loader to use.
setClassLoader(ClassLoader) - Method in class org.lenskit.LenskitRecommenderEngineLoader: Set the class loader to use when reading the engine.
setColumnName(String) - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric.Spec
setColumnName(String) - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
setCompressionMode(CompressionMode) - Method in class org.lenskit.LenskitRecommenderEngineLoader: Set the compression mode to use.
setConfig(LenskitConfiguration) - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Set the LensKit configuration to use.
setContinueAfterError(boolean) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Configure whether the experiment will continue after an error.
setContinueAterError(boolean) - Method in class org.lenskit.util.parallel.TaskGroup
setCount(int) - Method in class org.lenskit.util.ProgressLogger: Set the number of total items to be processed.
setDataSource(DataAccessObject) - Method in class org.lenskit.eval.temporal.TemporalEvaluator
setDataSource(File) - Method in class org.lenskit.eval.temporal.TemporalEvaluator
setDelegate(LenskitConfigDSL) - Method in class org.lenskit.config.LenskitConfigScript: Set the delegate.
setDelimiter(String) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Set the delimiter to use for this entity format.
setDifference(LongSet, LongSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the set difference of two sets.
setDiscount(String) - Method in class org.lenskit.eval.traintest.predict.NDCGPredictMetric.Spec
setDiscount(String) - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
setDoubleAttribute(TypedName<Double>, double) - Method in class org.lenskit.data.entities.EntityBuilder: Set an attribute in the entity.
setEntityBuilder(Class<? extends EntityBuilder>) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Set the entity builder class.
setEntityBuilder(Class<? extends EntityBuilder>) - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Set the entity builder class.
setEntityType(EntityType) - Method in class org.lenskit.data.dao.EntityQueryBuilder: Deprecated.
Just provide a type at construction time.
setEntityType(EntityType) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Set the entity type.
setEntityType(EntityType) - Method in class org.lenskit.data.dao.file.JSONEntityFormat: Set the entity type.
setEntityType(EntityType) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the entity type that this crossfolder will crossfold.
setEntityTypes(List<EntityType>) - Method in class org.lenskit.eval.traintest.DataSetBuilder
setExcludeSelector(ItemSelector) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Set the exclude selector.
setExecutable(String) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Set the executable to use.
setExtendedOutputFile(File) - Method in class org.lenskit.eval.temporal.TemporalEvaluator: Set the output file for extended output (lines of JSON).
setExtendedOutputFile(Path) - Method in class org.lenskit.eval.temporal.TemporalEvaluator: Set the output file for extended output (lines of JSON).
setExtraAttribute(TypedName<T>, T) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder: Set an extra attribute.
setFile(Path) - Method in class org.lenskit.data.dao.file.TextEntitySource: Set the source file for this reader.
setFormat(EntityFormat) - Method in class org.lenskit.data.dao.file.TextEntitySource: Set the entity format for the reader.
setGainAttribute(String) - Method in class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
setGoodItems(String) - Method in class org.lenskit.eval.traintest.recommend.PRMetricSpec
setHeader(boolean) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Set whether to read a header.
setHeaderLines(int) - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat: Set the number of header lines to read.
setId(long) - Method in class org.lenskit.data.entities.EntityBuilder: Set the entity id.
setId(long) - Method in class org.lenskit.data.ratings.RatingBuilder: Set the rating ID.
setIntersect(LongSet, LongSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the intersection of two sets.
setIntersect(LongSortedSet, LongSortedSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the intersection of two sets.
setIsolationGroup(UUID) - Method in class org.lenskit.eval.traintest.DataSetBuilder: Set the group ID for this data set.
setItemId(long) - Method in class org.lenskit.data.ratings.RatingBuilder: Set the item ID.
setItemOutputFile(Path) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Set the output file for per-target-item results.
setLabel(String) - Method in class org.lenskit.util.ProgressLogger: Set the label to be used in log messages.
setLabelPrefix(String) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Set the prefix applied to column labels.
setListSize(int) - Method in class org.lenskit.eval.temporal.TemporalEvaluator: sets the size of recommendationss list size
setListSize(int) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Set the list size to use.
setLongAttribute(TypedName<Long>, long) - Method in class org.lenskit.data.entities.AbstractBeanEntityBuilder
setLongAttribute(TypedName<Long>, long) - Method in class org.lenskit.data.entities.EntityBuilder: Set an attribute in the entity.
setMaximum(double) - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder: Set the maximum preference.
setMethod(CrossfoldMethod) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the method to be used by the crossfolder.
setMinimum(double) - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder: Set the minimum preference.
setName(String) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set a name for this crossfolder.
setName(String) - Method in class org.lenskit.eval.traintest.AlgorithmInstanceBuilder: Set the algorithm name.
setName(String) - Method in class org.lenskit.eval.traintest.DataSetBuilder: Set the data set’s name.
setOutput(Path) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Set an output file for aggregate metrics.
setOutputDir(Path) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the output directory for this crossfold operation.
setOutputDir(File) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the output directory for this crossfold operation.
setOutputDir(String) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the output directory for this crossfold operation.
setOutputFile(File) - Method in class org.lenskit.eval.temporal.TemporalEvaluator
setOutputFile(Path) - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask: Set the output file for predictions.
setOutputFile(Path) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Set the output file for recommendations.
setOutputFile(Path) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Set the primary output file.
setOutputFormat(OutputFormat) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the output format for the crossfolder.
setParallelTasks(int) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Set the number of parallel experiment tasks to run.
setPartitionCount(int) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the number of partitions to generate.
setPeriod(int) - Method in class org.lenskit.util.ProgressLogger: Set the period for progress messages.
setPrecision(double) - Method in class org.lenskit.data.ratings.PreferenceDomainBuilder: Set the preference precision.
setRating(double) - Method in class org.lenskit.data.ratings.RatingBuilder: Set the rating value.
setRebuildPeriod(long, TimeUnit) - Method in class org.lenskit.eval.temporal.TemporalEvaluator
setRebuildPeriod(long) - Method in class org.lenskit.eval.temporal.TemporalEvaluator
setReportingInterval(int) - Method in class org.lenskit.util.monitor.TrackedJob: Set the reporting interval for firing progress update messages.
setRuntime(StaticDataSource) - Method in class org.lenskit.eval.traintest.DataSetBuilder
setSeparateItems(boolean) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask: Control whether this task will separate items.
setShareModelComponents(boolean) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Control whether model components will be shared.
setSource(CharSequence) - Method in class org.lenskit.data.dao.file.TextEntitySource: Set a string from which to read entities.
setSource(StaticDataSource) - Method in class org.lenskit.eval.crossfold.Crossfolder: Set the data source.
setSuffix(String) - Method in class org.lenskit.eval.traintest.recommend.PRMetricSpec
setTest(StaticDataSource) - Method in class org.lenskit.eval.traintest.DataSetBuilder
setTestHistory(List<Entity>) - Method in class org.lenskit.eval.traintest.TestUserBuilder
setThreadCount(int) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Set the number of threads the experiment may use.
setTimestamp(long) - Method in class org.lenskit.data.ratings.RatingBuilder: Set the timestamp.
setTrain(StaticDataSource) - Method in class org.lenskit.eval.traintest.DataSetBuilder
setTrainHistory(List<Entity>) - Method in class org.lenskit.eval.traintest.TestUserBuilder
setUnion(LongSet, LongSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the union of two sets.
setUnion(LongSortedSet, LongSortedSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the union of two sets.
setURL(URL) - Method in class org.lenskit.data.dao.file.TextEntitySource: Set the URL of the input data.
setUserId(long) - Method in class org.lenskit.data.ratings.RatingBuilder: Set the user ID.
setUserId(long) - Method in class org.lenskit.eval.traintest.TestUserBuilder
setUserOutput(Path) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Set an output file for per-user evaluation metrics.
setUserOutputFile(Path) - Method in class org.lenskit.eval.traintest.TrainTestExperiment: Set the per-user output file.
setValidationMode(EngineValidationMode) - Method in class org.lenskit.LenskitRecommenderEngineLoader: Set the validation mode for loading the recommender engine.
setWindow(int) - Method in class org.lenskit.util.ProgressLogger: Set the window to use for smoothing averages.
setWorkDir(Path) - Method in class org.lenskit.eval.traintest.SimpleEvaluator: Set the working directory for the evaluator.
setWorkingDir(File) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Set the working directory to use.
setWorkingDir(String) - Method in class org.lenskit.external.ExternalProcessItemScorerBuilder: Set the working directory to use.
setWriteTimestamps(boolean) - Method in class org.lenskit.eval.crossfold.Crossfolder: Configure whether to include timestamps in the output file.
sha1Writer() - Static method in class org.lenskit.util.describe.Descriptions: Create a description writer that will compute a SHA1 hash.
Shareable - Annotation Type in org.lenskit.inject: Mark a component implementation as shareable.
shared() - Method in interface org.lenskit.LenskitBinding
SignificanceWeightedVectorSimilarity - Class in org.lenskit.similarity: Apply significance weighting to a similarity function.
SignificanceWeightedVectorSimilarity(int, VectorSimilarity) - Constructor for class org.lenskit.similarity.SignificanceWeightedVectorSimilarity
SigWeightThreshold - Annotation Type in org.lenskit.similarity: The weight threshold for significance weighting.
similarity(long, Long2DoubleMap, long, Long2DoubleMap) - Method in interface org.lenskit.knn.item.ItemSimilarity: Compute the similarity between two items.
similarity(long, Long2DoubleMap, long, Long2DoubleMap) - Method in class org.lenskit.knn.item.ItemVectorSimilarity
similarity - Variable in class org.lenskit.knn.user.Neighbor
similarity(long, Long2DoubleMap, long, Long2DoubleMap) - Method in interface org.lenskit.knn.user.UserSimilarity: Compute the similarity between two users.
similarity(long, Long2DoubleMap, long, Long2DoubleMap) - Method in class org.lenskit.knn.user.UserVectorSimilarity
similarity(Long2DoubleMap, Long2DoubleMap) - Method in class org.lenskit.similarity.CosineVectorSimilarity
similarity(Long2DoubleMap, Long2DoubleMap) - Method in class org.lenskit.similarity.MutualInformationVectorSimilarity
similarity(Long2DoubleMap, Long2DoubleMap) - Method in class org.lenskit.similarity.PearsonCorrelation
similarity(Long2DoubleMap, Long2DoubleMap) - Method in class org.lenskit.similarity.SignificanceWeightedVectorSimilarity
similarity(Long2DoubleMap, Long2DoubleMap) - Method in class org.lenskit.similarity.SpearmanRankCorrelation
similarity(Long2DoubleMap, Long2DoubleMap) - Method in interface org.lenskit.similarity.VectorSimilarity: Compute the similarity between two vectors.
SIMILARITY_COMPARATOR - Static variable in class org.lenskit.knn.user.Neighbor: Comparator to order neighbors by similarity.
SimilarityDamping - Annotation Type in org.lenskit.similarity: Damping parameter for similarity functions.
SimilarityMatrixModel - Class in org.lenskit.knn.item.model: Item-item similarity model using an in-memory similarity matrix.
SimilarityMatrixModel(SortedKeyIndex, List<Long2DoubleMap>) - Constructor for class org.lenskit.knn.item.model.SimilarityMatrixModel: Deprecated.
This is deprecated for public usage. It is better to use the other constructor.
SimilarityMatrixModel(Map<Long, Long2DoubleMap>) - Constructor for class org.lenskit.knn.item.model.SimilarityMatrixModel: Construct a new item-item model.
SimilarityNormalizer - Annotation Type in org.lenskit.knn: Qualifier for normalizers used for computing neighbor similarities.
SimilaritySumNeighborhoodScorer - Class in org.lenskit.knn.item: Neighborhood scorer that computes the sum of neighborhood similarities.
SimilaritySumNeighborhoodScorer() - Constructor for class org.lenskit.knn.item.SimilaritySumNeighborhoodScorer
SimilaritySumUserNeighborhoodScorer - Class in org.lenskit.knn.user: Score an item using the weighted average of neighbor ratings.
SimilaritySumUserNeighborhoodScorer(int) - Constructor for class org.lenskit.knn.user.SimilaritySumUserNeighborhoodScorer: Construct a weighted average scorer.
SimpleCachingItemScorer - Class in org.lenskit.basic: A simple cached item scorer that remembers the result for the last user id it scored.
SimpleCachingItemScorer(ItemScorer) - Constructor for class org.lenskit.basic.SimpleCachingItemScorer
SimpleEvaluator - Class in org.lenskit.eval.traintest: Simplified Java API to train-test evaluation.
SimpleEvaluator() - Constructor for class org.lenskit.eval.traintest.SimpleEvaluator: Create a simple evaluator with a custom configuration.
SimpleRatingPredictor - Class in org.lenskit.basic: Basic rating predictor that uses scores, clamped to valid rating values if appropriate.
SimpleRatingPredictor(ItemScorer, PreferenceDomain) - Constructor for class org.lenskit.basic.SimpleRatingPredictor: Create a new simple rating predictor.
Simulate - Class in org.lenskit.cli.commands: Simulates a recommender algorithm over time.
Simulate() - Constructor for class org.lenskit.cli.commands.Simulate
simulate() - Method in class org.lenskit.inject.RecommenderInstantiator: Simulate instantiating a graph.
simulateInstantiation() - Static method in class org.lenskit.inject.NodeProcessors: Create a node processor that will simulate instantiating nodes.
singleton(String, Object) - Static method in class org.lenskit.eval.traintest.metrics.MetricResult: Create a singleton map result.
size() - Method in class org.lenskit.data.entities.AttributeSet: Get the number of attributes in this set.
size() - Method in class org.lenskit.results.BasicResultList
size() - Method in class org.lenskit.results.BasicResultMap
size() - Method in class org.lenskit.util.collections.CompactableLongArrayList
size() - Method in interface org.lenskit.util.collections.Long2DoubleAccumulator: Get the number of items in the accumulator.
size() - Method in class org.lenskit.util.collections.TopNLong2DoubleAccumulator
size() - Method in class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
size() - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
size() - Method in class org.lenskit.util.keys.HashKeyIndex
size() - Method in class org.lenskit.util.keys.KeyedObjectMap
size() - Method in interface org.lenskit.util.keys.KeyIndex: Get the size of this index.
size() - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
size() - Method in class org.lenskit.util.keys.LongSortedArraySet
size() - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the domain size of this set.
size() - Method in class org.lenskit.util.Text
skip(long) - Method in class org.lenskit.util.io.AbstractObjectStream
SlopeOneItemScorer - Class in org.lenskit.slopeone: An ItemScorer that implements the Slope One algorithm.
SlopeOneItemScorer(RatingVectorPDAO, SlopeOneModel, PreferenceDomain) - Constructor for class org.lenskit.slopeone.SlopeOneItemScorer
SlopeOneModel - Class in org.lenskit.slopeone: A model for a SlopeOneItemScorer or WeightedSlopeOneItemScorer.
SlopeOneModel(KeyedObjectMap<SlopeOneModel.ModelRow>) - Constructor for class org.lenskit.slopeone.SlopeOneModel
SlopeOneModelDataAccumulator - Class in org.lenskit.slopeone
SlopeOneModelDataAccumulator(double, LongSet) - Constructor for class org.lenskit.slopeone.SlopeOneModelDataAccumulator: Creates an accumulator to process rating data and generate the necessary data for a SlopeOneItemScorer.
SlopeOneModelProvider - Class in org.lenskit.slopeone: Pre-computes the deviations and number of mutual rating users for every pair of items and stores the results in a DeviationMatrix and CoratingMatrix.
SlopeOneModelProvider(ItemItemBuildContext, double) - Constructor for class org.lenskit.slopeone.SlopeOneModelProvider
SnapshotNeighborFinder - Class in org.lenskit.knn.user: A neighborhood finder that has a snapshot of the rating data for efficiency.
SnapshotNeighborFinder(UserSnapshot, UserSimilarity, RatingVectorPDAO, UserVectorNormalizer, Threshold) - Constructor for class org.lenskit.knn.user.SnapshotNeighborFinder
sort(ObjectStream<T>, Comparator<? super T>) - Static method in class org.lenskit.util.io.ObjectStreams: Deprecated.
Use Stream.sorted(Comparator), possibly with ObjectStreams.wrap(Stream, Closeable).
sorted() - Method in class org.lenskit.util.io.AbstractObjectStream
sorted(Comparator<? super T>) - Method in class org.lenskit.util.io.AbstractObjectStream
SortedKeyIndex - Class in org.lenskit.util.keys: Implement an index of long keys, sorted by key.
SortedListAccumulator<T> - Class in org.lenskit.util.collections: Accumulators for sorted lists of things.
SortKey - Class in org.lenskit.data.dao: A sort key describing a sort operation.
SortOrder - Enum in org.lenskit.data.dao
SortOrder - Enum in org.lenskit.eval.crossfold: Sort order for partitioning events per user or item.
SparseNeighborIterationStrategy - Class in org.lenskit.knn.item.model: Neighbor iteration strategy that looks at the items co-rated with the specified item.
SparseNeighborIterationStrategy() - Constructor for class org.lenskit.knn.item.model.SparseNeighborIterationStrategy
SpearmanRankCorrelation - Class in org.lenskit.similarity: Similarity function using Spearman rank correlation.
SpearmanRankCorrelation(double) - Constructor for class org.lenskit.similarity.SpearmanRankCorrelation
SpearmanRankCorrelation() - Constructor for class org.lenskit.similarity.SpearmanRankCorrelation
Spec() - Constructor for class org.lenskit.eval.traintest.predict.NDCGPredictMetric.Spec
Spec() - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDCGMetric.Spec
Spec() - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDPMMetric.Spec
spliterator() - Method in class org.lenskit.util.io.AbstractObjectStream
spliterator() - Method in interface org.lenskit.util.io.ObjectStream
StagedWrite - Class in org.lenskit.util.io: Helper to do staged file writes.
StandardRatingVectorPDAO - Class in org.lenskit.data.ratings: Rating vector source that extracts user ratings from the database.
StandardRatingVectorPDAO(DataAccessObject) - Constructor for class org.lenskit.data.ratings.StandardRatingVectorPDAO: Construct a rating vector source.
StandardVectorTruncatorProvider - Class in org.lenskit.knn.item.model: Configure a vector truncator using the standard item-item model build logic.
StandardVectorTruncatorProvider(Threshold, int) - Constructor for class org.lenskit.knn.item.model.StandardVectorTruncatorProvider: Construct a new vector truncator provider.
start(ExperimentOutputLayout) - Method in interface org.lenskit.eval.traintest.EvalTask: Do initial setup for this eval task.
start(ExperimentOutputLayout) - Method in class org.lenskit.eval.traintest.predict.PredictEvalTask
start(ExperimentOutputLayout) - Method in class org.lenskit.eval.traintest.recommend.RecommendEvalTask
start() - Method in class org.lenskit.util.monitor.TrackedJob: Start the job.
start(int) - Method in class org.lenskit.util.monitor.TrackedJob: Start the job with an estimated number of steps.
start() - Method in class org.lenskit.util.ProgressLogger: Start the progress logger’s timer.
startEquality(Result) - Method in class org.lenskit.results.AbstractResult: Create an equality builder, populated with the ID and score.
startEquality(Result, Result) - Static method in class org.lenskit.results.AbstractResult: Create an equality builder, populated with the ID and score.
startHashCode() - Method in class org.lenskit.results.AbstractResult: Create a hash code builder, populated with the ID and score.
startHashCode(Result) - Static method in class org.lenskit.results.AbstractResult: Create an equality builder, populated with the ID and score.
StaticDataSource - Class in org.lenskit.data.dao.file: Layout and builder for DAOs backed by static files.
StaticDataSource() - Constructor for class org.lenskit.data.dao.file.StaticDataSource: Construct a new data layout object.
StaticDataSource(String) - Constructor for class org.lenskit.data.dao.file.StaticDataSource: Construct a new data layout object.
StaticInjector - Class in org.lenskit.inject: A Grapht injector that uses a precomputed graph.
StaticInjector(DAGNode<Component, Dependency>) - Constructor for class org.lenskit.inject.StaticInjector: Create a new static injector.
StatusLogger - Class in org.lenskit.eval.traintest: Event listener that logs status messages.
StatusLogger(Logger) - Constructor for class org.lenskit.eval.traintest.StatusLogger: Construct a new status logger writing to a logger.
StoppingCondition - Interface in org.grouplens.lenskit.iterative: Stopping condition for iterative updates
StoppingThreshold - Annotation Type in org.grouplens.lenskit.iterative: Stopping threshold.
stream() - Method in class org.lenskit.data.dao.GroupedQuery: Stream the groups of entities.
stream() - Method in interface org.lenskit.data.dao.Query: Stream the results of this query.
stream - Variable in class org.lenskit.util.io.AbstractObjectStream
streamEntities(EntityType) - Method in class org.lenskit.data.dao.AbstractDataAccessObject: Stream all entities of a particular type.
streamEntities(EntityType) - Method in interface org.lenskit.data.dao.DataAccessObject: Stream all entities of a particular type.
streamEntities(EntityQuery<E>) - Method in interface org.lenskit.data.dao.DataAccessObject: Stream entities in response to a query.
streamEntities(EntityType) - Method in class org.lenskit.data.dao.EntityCollectionDAO
streamEntities(EntityQuery<E>) - Method in class org.lenskit.data.dao.EntityCollectionDAO
streamEntityGroups(EntityQuery<E>, TypedName<Long>) - Method in class org.lenskit.data.dao.AbstractDataAccessObject: Stream entities in response to a query, grouping them by a long ID.
streamEntityGroups(EntityQuery<E>, TypedName<Long>) - Method in interface org.lenskit.data.dao.DataAccessObject: Stream entities in response to a query, grouping them by a long ID.
streamEntityGroups(EntityQuery<E>, TypedName<Long>) - Method in class org.lenskit.data.dao.EntityCollectionDAO
streamUsers() - Method in class org.lenskit.data.ratings.AbstractRatingVectorPDAO
streamUsers() - Method in interface org.lenskit.data.ratings.RatingVectorPDAO: Stream all users in the data set.
streamUsers() - Method in class org.lenskit.data.ratings.StandardRatingVectorPDAO
StringDescriptionWriter - Class in org.lenskit.util.describe: Description writer that accumulates a string.
stringWriter() - Static method in class org.lenskit.util.describe.Descriptions: Construct a new description writer that outputs a string.
subIndex(int, int) - Method in class org.lenskit.util.keys.SortedKeyIndex: Create a view of a subset of this index.
subList(int, int) - Method in class org.lenskit.results.BasicResultList
subList(int, int) - Method in class org.lenskit.util.collections.CompactableLongArrayList
subMap(long, long) - Method in class org.lenskit.util.keys.KeyedObjectMap
subMap(long, long) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
subMap(LongSet) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Return a subset of this map containing only the keys that appear in another set.
subSet(long, long) - Method in class org.lenskit.util.keys.LongSortedArraySet
sum(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Compute the sum of the elements of a map.
sum() - Method in interface org.lenskit.util.table.Column: Get the sum of this column.
sumAbs(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Compute the sum of the elements of a map.
sumOfSquares(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Compute the sum of the squares of elements of a map.
sumOfSquares(Long2DoubleSortedArrayMap) - Static method in class org.lenskit.util.math.Vectors: Compute the sum of the squares of elements of a map (optimized).

T

Table - Interface in org.lenskit.util.table: This is the interface for the in memory table which stores a list of rows.
TableBuilder - Class in org.lenskit.util.table: Builder to construct tables.
TableBuilder(TableLayout) - Constructor for class org.lenskit.util.table.TableBuilder: Construct a new builder using a particular layout.
TableBuilder(List<String>) - Constructor for class org.lenskit.util.table.TableBuilder
TableLayout - Class in org.lenskit.util.table: A layout for a table to be written.
TableLayoutBuilder - Class in org.lenskit.util.table: Construct a layout for a table.
TableLayoutBuilder() - Constructor for class org.lenskit.util.table.TableLayoutBuilder
TableWriter - Interface in org.lenskit.util.table.writer: Write rows to a table.
TableWriters - Class in org.lenskit.util.table.writer: Utility methods for table writers.
tailMap(long) - Method in class org.lenskit.util.keys.KeyedObjectMap
tailMap(long) - Method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap
tailSet(long) - Method in class org.lenskit.util.keys.LongSortedArraySet
TaskGroup - Class in org.lenskit.util.parallel: A group of tasks to be executed in a fork-join tree.
TaskGroup(boolean) - Constructor for class org.lenskit.util.parallel.TaskGroup: Create a new task group.
TemporalEvaluator - Class in org.lenskit.eval.temporal
TemporalEvaluator() - Constructor for class org.lenskit.eval.temporal.TemporalEvaluator
test(int) - Method in class org.lenskit.util.BinarySearch: Test the value at position pos, comparing it against the target.
TestUser - Class in org.lenskit.eval.traintest: A test user’s data.
TestUser(Entity, List<Entity>, List<Entity>) - Constructor for class org.lenskit.eval.traintest.TestUser: Construct a new test user object.
TestUserBuilder - Class in org.lenskit.eval.traintest: Builder for test user objects.
TestUserBuilder() - Constructor for class org.lenskit.eval.traintest.TestUserBuilder: Construct a new test user builder.
TestUsers - Annotation Type in org.lenskit.eval.traintest: Qualifier for gaining access to the set of test users.
Text - Class in org.lenskit.util: UTF-8 encoded text string.
Text(byte[]) - Constructor for class org.lenskit.util.Text: Create a new Text instance from bytes.
TextEntitySource - Class in org.lenskit.data.dao.file: Entity reader that loads entities from text data, often stored in a file.
TextEntitySource() - Constructor for class org.lenskit.data.dao.file.TextEntitySource: Construct a new text entity source.
TextEntitySource(String) - Constructor for class org.lenskit.data.dao.file.TextEntitySource: Construct a new text entity source.
Threshold - Interface in org.grouplens.lenskit.transform.threshold: Determine whether similarity values should be accepted into or rejected from similarity models.
ThresholdStoppingCondition - Class in org.grouplens.lenskit.iterative: Stop when absolute delta drops below a threshold.
ThresholdStoppingCondition(double, int) - Constructor for class org.grouplens.lenskit.iterative.ThresholdStoppingCondition: Construct a new threshold stop.
ThresholdStoppingCondition(double) - Constructor for class org.grouplens.lenskit.iterative.ThresholdStoppingCondition: Create a new threshold stop with no minimum iteration count.
ThresholdTruncator - Class in org.grouplens.lenskit.transform.truncate: A VectorTruncator that will retain entries with values that are accepted by some Threshold.
ThresholdTruncator(Threshold) - Constructor for class org.grouplens.lenskit.transform.truncate.ThresholdTruncator
ThresholdValue - Annotation Type in org.grouplens.lenskit.transform.threshold: Threshold value for transformations.
TIMESTAMP - Static variable in class org.lenskit.data.entities.CommonAttributes: A timestamp associated with an event entity.
TIMESTAMP_COMPARATOR - Static variable in class org.lenskit.data.ratings.Ratings: Compare two events by timestamp.
toArray() - Method in class org.lenskit.results.BasicResultList
toArray(T[]) - Method in class org.lenskit.results.BasicResultList
toArray() - Method in class org.lenskit.util.io.AbstractObjectStream
toArray(IntFunction<A[]>) - Method in class org.lenskit.util.io.AbstractObjectStream
toInstance(T) - Method in interface org.lenskit.LenskitBinding: Explicitly bind to an instance.
toJSON() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat
toJSON() - Method in interface org.lenskit.data.dao.file.EntityFormat: Create a JSON description of this entity format.
toJSON() - Method in class org.lenskit.data.dao.file.JSONEntityFormat
toJSON(URI) - Method in class org.lenskit.data.dao.file.TextEntitySource: Construct a JSON representation of this entity source, suitable for serialization to e.g.
tokenize(StrTokenizer) - Method in class org.lenskit.util.io.LineStream
TopNEntropyMetric - Class in org.lenskit.eval.traintest.recommend: Metric that measures the entropy of the top N recommendations across all users.
TopNEntropyMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNEntropyMetric: Construct a new length metric.
TopNEntropyMetric.Context - Class in org.lenskit.eval.traintest.recommend
TopNEntropyMetric.EntropyResult - Class in org.lenskit.eval.traintest.recommend
TopNItemBasedItemRecommender - Class in org.lenskit.basic: A global item recommender that recommends the top N items from a scorer.
TopNItemBasedItemRecommender(DataAccessObject, ItemBasedItemScorer) - Constructor for class org.lenskit.basic.TopNItemBasedItemRecommender
TopNItemRecommender - Class in org.lenskit.basic: Recommender that recommends the top N items by a scorer.
TopNItemRecommender(DataAccessObject, ItemScorer) - Constructor for class org.lenskit.basic.TopNItemRecommender
TopNLengthMetric - Class in org.lenskit.eval.traintest.recommend: Metric that measures how long a TopN list actually is.
TopNLengthMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNLengthMetric: Construct a new length metric.
TopNLengthMetric.LengthResult - Class in org.lenskit.eval.traintest.recommend
TopNLong2DoubleAccumulator - Class in org.lenskit.util.collections: Accumulate the top N scored IDs.
TopNLong2DoubleAccumulator(int) - Constructor for class org.lenskit.util.collections.TopNLong2DoubleAccumulator: Create a new accumulator to accumulate the top n IDs.
TopNMAPMetric - Class in org.lenskit.eval.traintest.recommend: Compute the mean average precision.
TopNMAPMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNMAPMetric: Construct a new MAP metric with the user’s test items as good.
TopNMAPMetric(PRMetricSpec) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMAPMetric: Create a metric from a spec.
TopNMAPMetric(ItemSelector, String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMAPMetric: Construct a new mean average precision top n metric
TopNMAPMetric.AggregateResult - Class in org.lenskit.eval.traintest.recommend
TopNMAPMetric.Context - Class in org.lenskit.eval.traintest.recommend
TopNMAPMetric.UserResult - Class in org.lenskit.eval.traintest.recommend
TopNMetric<X> - Class in org.lenskit.eval.traintest.recommend: Base class for metrics that measure Top-N recommendations for users.
TopNMetric(List<String>, List<String>) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMetric: Construct a new result metric.
TopNMetric(Class<? extends TypedMetricResult>, Class<? extends TypedMetricResult>) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMetric: Construct a new result metric.
TopNMetric(Class<? extends TypedMetricResult>, Class<? extends TypedMetricResult>, String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMetric: Construct a new result metric.
TopNMRRMetric - Class in org.lenskit.eval.traintest.recommend: Compute the mean reciprocal rank.
TopNMRRMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNMRRMetric: Construct a new MRR metric using the user’s test items as good.
TopNMRRMetric(PRMetricSpec) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMRRMetric: Construct an MRR metric from a spec.
TopNMRRMetric(ItemSelector, String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMRRMetric: Construct a new recall and precision top n metric
TopNMRRMetric.AggregateResult - Class in org.lenskit.eval.traintest.recommend
TopNMRRMetric.Context - Class in org.lenskit.eval.traintest.recommend
TopNMRRMetric.UserResult - Class in org.lenskit.eval.traintest.recommend
TopNNDCGMetric - Class in org.lenskit.eval.traintest.recommend: Measure the nDCG of the top-N recommendations, using ratings as scores.
TopNNDCGMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDCGMetric: Create an nDCG metric with log-2 discounting.
TopNNDCGMetric(Discount) - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDCGMetric: Create an nDCG metric with a default name.
TopNNDCGMetric(TopNNDCGMetric.Spec) - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDCGMetric: Construct a top-N nDCG metric from a spec.
TopNNDCGMetric(Discount, String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDCGMetric: Construct a new nDCG Top-N metric.
TopNNDCGMetric(Discount, String, String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDCGMetric: Construct a new nDCG Top-N metric.
TopNNDCGMetric.Spec - Class in org.lenskit.eval.traintest.recommend: Specification for configuring nDCG metrics.
TopNNDPMMetric - Class in org.lenskit.eval.traintest.recommend: Measure the nDPM of the top-N recommendations, using rankings.
TopNNDPMMetric(TopNNDPMMetric.Spec) - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDPMMetric: Construct a top-N nDCG metric from a spec.
TopNNDPMMetric(String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNNDPMMetric: Construct a new nDPM Top-N metric.
TopNNDPMMetric.Spec - Class in org.lenskit.eval.traintest.recommend: Specification for configuring nDPM metrics.
TopNPopularityMetric - Class in org.lenskit.eval.traintest.recommend: Metric that measures how popular the items in the TopN list are.
TopNPopularityMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNPopularityMetric
TopNPopularityMetric.Context - Class in org.lenskit.eval.traintest.recommend
TopNPopularityMetric.PopResult - Class in org.lenskit.eval.traintest.recommend
TopNPrecisionRecallMetric - Class in org.lenskit.eval.traintest.recommend: A metric to compute the precision and recall of a recommender given a set of candidate items to recommend from and a set of desired items.
TopNPrecisionRecallMetric() - Constructor for class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric: Construct a new precision-recall metric using the user’s test items as good.
TopNPrecisionRecallMetric(PRMetricSpec) - Constructor for class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric: Construct a precision-reacll metric from a spec.
TopNPrecisionRecallMetric(ItemSelector, String) - Constructor for class org.lenskit.eval.traintest.recommend.TopNPrecisionRecallMetric: Construct a new recall and precision top n metric
TopNPrecisionRecallMetric.Context - Class in org.lenskit.eval.traintest.recommend
TopNPrecisionRecallMetric.PresRecResult - Class in org.lenskit.eval.traintest.recommend
TopNTruncator - Class in org.grouplens.lenskit.transform.truncate: A VectorTruncator that will retain the top n entries.
TopNTruncator(int, Threshold) - Constructor for class org.grouplens.lenskit.transform.truncate.TopNTruncator
TopNTruncator(int) - Constructor for class org.grouplens.lenskit.transform.truncate.TopNTruncator
toString() - Method in class org.grouplens.lenskit.iterative.ErrorThresholdStoppingCondition
toString() - Method in class org.grouplens.lenskit.iterative.IterationCountStoppingCondition
toString() - Method in class org.grouplens.lenskit.iterative.ThresholdStoppingCondition
toString() - Method in class org.lenskit.baseline.ItemMeanRatingItemScorer
toString() - Method in class org.lenskit.baseline.UserMeanItemScorer
toString() - Method in class org.lenskit.cli.util.InputData
toString() - Method in class org.lenskit.data.dao.file.DelimitedColumnEntityFormat
toString() - Method in class org.lenskit.data.dao.file.EntitySource.Layout
toString() - Method in class org.lenskit.data.dao.file.JSONEntityFormat
toString() - Method in class org.lenskit.data.dao.file.StaticDataSource
toString() - Method in class org.lenskit.data.dao.file.TextEntitySource
toString() - Method in class org.lenskit.data.entities.AbstractEntity
toString() - Method in class org.lenskit.data.entities.Attribute
toString() - Method in class org.lenskit.data.entities.EntityType
toString() - Method in class org.lenskit.data.entities.TypedName
toString() - Method in class org.lenskit.data.ratings.PreferenceDomain
toString() - Method in class org.lenskit.data.ratings.RatingMatrixEntry
toString() - Method in class org.lenskit.eval.crossfold.Crossfolder
toString() - Method in class org.lenskit.eval.crossfold.FractionHistoryPartitionMethod
toString() - Method in class org.lenskit.eval.crossfold.HoldoutNHistoryPartitionMethod
toString() - Method in class org.lenskit.eval.crossfold.RetainNHistoryPartitionMethod
toString() - Method in class org.lenskit.eval.traintest.AlgorithmInstance
toString() - Method in class org.lenskit.eval.traintest.DataSet
toString() - Method in class org.lenskit.eval.traintest.metrics.ExponentialDiscount
toString() - Method in class org.lenskit.eval.traintest.metrics.LogDiscount
toString() - Method in class org.lenskit.eval.traintest.recommend.ItemSelector.GroovyItemSelector
toString() - Method in class org.lenskit.inject.PlaceholderSatisfaction
toString() - Method in class org.lenskit.knn.item.ItemItemResult
toString() - Method in class org.lenskit.knn.item.ItemVectorSimilarity
toString() - Method in class org.lenskit.knn.item.model.NormalizingItemItemModelProvider
toString() - Method in class org.lenskit.knn.item.model.SimilarityMatrixModel
toString() - Method in class org.lenskit.knn.item.model.StandardVectorTruncatorProvider
toString() - Method in class org.lenskit.knn.item.SimilaritySumNeighborhoodScorer
toString() - Method in class org.lenskit.knn.item.WeightedAverageNeighborhoodScorer
toString() - Method in class org.lenskit.knn.user.UserVectorSimilarity
toString() - Method in exception org.lenskit.RecommenderConfigurationException
toString() - Method in class org.lenskit.results.BasicResult
toString() - Method in class org.lenskit.similarity.CosineVectorSimilarity
toString() - Method in class org.lenskit.similarity.PearsonCorrelation
toString() - Method in class org.lenskit.similarity.SignificanceWeightedVectorSimilarity
toString() - Method in class org.lenskit.transform.normalize.BaselineSubtractingUserVectorNormalizer
toString() - Method in class org.lenskit.util.IdBox
toString() - Method in class org.lenskit.util.monitor.JobEvent.Failed
toString() - Method in class org.lenskit.util.monitor.JobEvent.Finished
toString() - Method in class org.lenskit.util.monitor.JobEvent.ProgressUpdate
toString() - Method in class org.lenskit.util.monitor.JobEvent.Started
toString() - Method in class org.lenskit.util.monitor.TrackedJob
toString() - Method in class org.lenskit.util.Text
TrackedJob - Class in org.lenskit.util.monitor: A job graph node used for tracking the status of work.
TrackedJob(String) - Constructor for class org.lenskit.util.monitor.TrackedJob: Create a new tracked job.
TrackedJob(String, String) - Constructor for class org.lenskit.util.monitor.TrackedJob: Create a new tracked job.
TrainingLoopController - Interface in org.grouplens.lenskit.iterative: Training Loop controller for iterative updates
TrainModel - Class in org.lenskit.cli.commands
TrainModel() - Constructor for class org.lenskit.cli.commands.TrainModel
TrainTest - Class in org.lenskit.cli.commands
TrainTest() - Constructor for class org.lenskit.cli.commands.TrainTest
TrainTestExperiment - Class in org.lenskit.eval.traintest: Sets up and runs train-test evaluations.
TrainTestExperiment() - Constructor for class org.lenskit.eval.traintest.TrainTestExperiment
transform(ObjectStream<S>, Function<? super S, ? extends T>) - Static method in class org.lenskit.util.io.ObjectStreams: Deprecated.
Use Stream.map(java.util.function.Function), possibly with ObjectStreams.wrap(Stream, Closeable).
transform(Long2DoubleMap, DoubleUnaryOperator) - Static method in class org.lenskit.util.math.Vectors: Transform the values of a vector.
Transient - Annotation Type in org.lenskit.inject: Mark a component dependency as transient.
transparentlyDecompress(InputStream) - Static method in class org.lenskit.util.io.LKFileUtils: Auto-detect whether a stream needs decompression.
trim() - Method in class org.lenskit.util.collections.CompactableLongArrayList
truncate(Long2DoubleMap) - Method in class org.grouplens.lenskit.transform.truncate.NoOpTruncator
truncate(Long2DoubleMap) - Method in class org.grouplens.lenskit.transform.truncate.ThresholdTruncator
truncate(Long2DoubleMap) - Method in class org.grouplens.lenskit.transform.truncate.TopNTruncator
truncate(Long2DoubleMap) - Method in interface org.grouplens.lenskit.transform.truncate.VectorTruncator: Truncate a vector, removing any entries that do not satisfy some condition.
tryGetIndex(long) - Method in class org.lenskit.util.keys.FrozenHashKeyIndex
tryGetIndex(long) - Method in class org.lenskit.util.keys.HashKeyIndex
tryGetIndex(long) - Method in interface org.lenskit.util.keys.KeyIndex: Try to get the index for an ID, returning a negative value if it does not exist.
tryGetIndex(long) - Method in class org.lenskit.util.keys.SortedKeyIndex: Get the index for a key.
tryGetInstance(Class<? extends Annotation>, Class<T>) - Method in class org.lenskit.inject.StaticInjector
tryGetInstance(QualifierMatcher, Class<T>) - Method in class org.lenskit.inject.StaticInjector
tryGetInstance(Class<T>) - Method in class org.lenskit.inject.StaticInjector
tryGetInstance(Annotation, Class<T>) - Method in class org.lenskit.inject.StaticInjector
tsvRatings() - Static method in class org.lenskit.data.dao.file.Formats: Read a TSV file of ratings without a header.
type - Variable in class org.lenskit.data.entities.AbstractEntity
type - Variable in class org.lenskit.data.entities.EntityBuilder
typeClosure(Class<?>) - Static method in class org.lenskit.util.TypeUtils: Return the supertype closure of a type (the type and all its transitive supertypes).
TypedMetricResult - Class in org.lenskit.eval.traintest.metrics: Base class for metric results that expose their values via getters.
TypedMetricResult() - Constructor for class org.lenskit.eval.traintest.metrics.TypedMetricResult
TypedName<T> - Class in org.lenskit.data.entities: An association of a type with a name.
typePredicate(EntityType) - Static method in class org.lenskit.data.entities.Entities: Create a predicate that filters events for an entity type.
TypeUtils - Class in org.lenskit.util: Various type utilities used in LensKit.

U

unapply(T) - Method in interface org.lenskit.util.InvertibleFunction: Returns the result of applying the inverse of this function to input.
unionSize(LongSortedSet, LongSortedSet) - Static method in class org.lenskit.util.collections.LongUtils: Compute the size of the union of two sets.
unitVector(Long2DoubleMap) - Static method in class org.lenskit.util.math.Vectors: Convert a vector to a unit vector.
UnitVectorNormalizer - Class in org.lenskit.transform.normalize: Vector normalizer that scales a vector by the factor needed to scale the reference vector to a unit vector.
UnitVectorNormalizer() - Constructor for class org.lenskit.transform.normalize.UnitVectorNormalizer: Create a unit vector normalizer with a tolerance of 1.0e-6.
UnitVectorNormalizer(double) - Constructor for class org.lenskit.transform.normalize.UnitVectorNormalizer: Create a unit vector normalizer a specified tolerance around 0.
UnlimitedLong2DoubleAccumulator - Class in org.lenskit.util.collections: Scored item accumulator with no upper bound.
UnlimitedLong2DoubleAccumulator() - Constructor for class org.lenskit.util.collections.UnlimitedLong2DoubleAccumulator
unordered() - Method in class org.lenskit.util.io.AbstractObjectStream
unqualified() - Method in interface org.lenskit.LenskitBinding
unshared() - Method in interface org.lenskit.LenskitBinding
UnsupportedQueryException - Exception in org.lenskit.data.dao: Exception thrown when a query cannot be supported.
UnsupportedQueryException() - Constructor for exception org.lenskit.data.dao.UnsupportedQueryException: Create an unsupported query exception with no explanation.
UnsupportedQueryException(String) - Constructor for exception org.lenskit.data.dao.UnsupportedQueryException: Create an unsupported query exception with a message.
UnsupportedQueryException(String, Throwable) - Constructor for exception org.lenskit.data.dao.UnsupportedQueryException: Create an unsupported query exception with a message and cause.
UnsupportedQueryException(Throwable) - Constructor for exception org.lenskit.data.dao.UnsupportedQueryException: Create an unsupported query exception with a cause but no further explanation.
USER - Static variable in class org.lenskit.data.entities.CommonTypes: Type identifier for user entities.
user - Variable in class org.lenskit.knn.user.Neighbor
USER_ID - Static variable in class org.lenskit.data.entities.CommonAttributes: The user ID associated with an entity.
UserAverageRatingBiasModelProvider - Class in org.lenskit.bias: Compute a bias model that returns users’ average ratings.
UserAverageRatingBiasModelProvider(RatingVectorPDAO, double) - Constructor for class org.lenskit.bias.UserAverageRatingBiasModelProvider
UserBiasModel - Class in org.lenskit.bias: Bias model that provides global and user biases.
UserBiasModel(double, Long2DoubleMap) - Constructor for class org.lenskit.bias.UserBiasModel: Construct a new user bias model.
userIndex() - Method in class org.lenskit.data.ratings.PackedRatingMatrix
userIndex() - Method in interface org.lenskit.data.ratings.RatingMatrix: Get the user ID index.
UserItemAverageRatingBiasModelProvider - Class in org.lenskit.bias: Compute a bias model with users’ average ratings.
UserItemAverageRatingBiasModelProvider(ItemBiasModel, RatingVectorPDAO, double) - Constructor for class org.lenskit.bias.UserItemAverageRatingBiasModelProvider
UserItemBiasModel - Class in org.lenskit.bias: Bias model that provides global, user, and item biases.
UserItemBiasModel(double, Long2DoubleMap, Long2DoubleMap) - Constructor for class org.lenskit.bias.UserItemBiasModel: Construct a new user bias model.
UserMeanBaseline - Annotation Type in org.lenskit.baseline: Baseline scores for user mean ratings.
UserMeanItemScorer - Class in org.lenskit.baseline: Rating scorer that returns the user’s average rating for all predictions.
UserMeanItemScorer(RatingVectorPDAO, ItemScorer, double) - Constructor for class org.lenskit.baseline.UserMeanItemScorer: Construct a scorer that computes user means offset by the global mean.
UserNeighborhoodScorer - Interface in org.lenskit.knn.user: Score an item using a neighborhood of users.
userRatingVector(long) - Method in class org.lenskit.data.ratings.AbstractRatingVectorPDAO
userRatingVector(Collection<Rating>) - Static method in class org.lenskit.data.ratings.Ratings: Construct a rating vector that contains the ratings provided for each item.
userRatingVector(ObjectStream<? extends Rating>) - Static method in class org.lenskit.data.ratings.Ratings: Extract a user rating vector from a rating stream.
userRatingVector(long) - Method in interface org.lenskit.data.ratings.RatingVectorPDAO: Get a user’s rating vector.
userRatingVector(long) - Method in class org.lenskit.data.ratings.StandardRatingVectorPDAO
UserResult(double) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMAPMetric.UserResult
UserResult(Integer) - Constructor for class org.lenskit.eval.traintest.recommend.TopNMRRMetric.UserResult
UserSimilarity - Interface in org.lenskit.knn.user: Compute the similarity between two users.
UserSimilarityThreshold - Annotation Type in org.lenskit.knn.user: Qualifier for threshold applied to user similarities.
UserSnapshot - Class in org.lenskit.knn.user: User snapshot used by SnapshotNeighborFinder.
UserSnapshot.Builder - Class in org.lenskit.knn.user
userTestItems() - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector
userTrainItems() - Static method in class org.lenskit.eval.traintest.recommend.ItemSelector
UserUserItemScorer - Class in org.lenskit.knn.user: Score items with user-user collaborative filtering.
UserUserItemScorer(RatingVectorPDAO, NeighborFinder, UserVectorNormalizer, UserNeighborhoodScorer, int) - Constructor for class org.lenskit.knn.user.UserUserItemScorer
UserUserResult - Class in org.lenskit.knn.user: Result for user-user CF.
UserVectorNormalizer - Interface in org.lenskit.transform.normalize: Normalize a user’s vector.
UserVectorSimilarity - Class in org.lenskit.knn.user: Implementation of UserSimilarity that delegates to a vector similarity.
UserVectorSimilarity(VectorSimilarity) - Constructor for class org.lenskit.knn.user.UserVectorSimilarity

V

value(String) - Method in interface org.lenskit.util.table.Row: Get the value at a particular column.
value(int) - Method in interface org.lenskit.util.table.Row: Get the value at a particular column.
ValueArrayQuantizer - Class in org.lenskit.transform.quantize: Abstract quantizer implementation using a pre-generated array of possible values.
ValueArrayQuantizer(double[]) - Constructor for class org.lenskit.transform.quantize.ValueArrayQuantizer: Construct a new quantizer using the specified array of values.
ValueArrayQuantizer(RealVector) - Constructor for class org.lenskit.transform.quantize.ValueArrayQuantizer
valueOf(String) - Static method in enum org.lenskit.data.dao.SortOrder: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.lenskit.data.output.OutputFormat: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.lenskit.EngineValidationMode: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.lenskit.eval.crossfold.SortOrder: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.lenskit.ModelDisposition: Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.lenskit.util.io.CompressionMode: Returns the enum constant of this type with the specified name.
values() - Static method in enum org.lenskit.data.dao.SortOrder: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.lenskit.data.output.OutputFormat: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.lenskit.EngineValidationMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.lenskit.eval.crossfold.SortOrder: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.lenskit.ModelDisposition: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.lenskit.results.BasicResultMap
values - Variable in class org.lenskit.transform.quantize.ValueArrayQuantizer: The values to quantize to.
values() - Static method in enum org.lenskit.util.io.CompressionMode: Returns an array containing the constants of this enum type, in the order they are declared.
values() - Method in class org.lenskit.util.keys.KeyedObjectMap
valueSet(TypedName<Long>) - Method in interface org.lenskit.data.dao.Query: Get the set of values from an attribute in the entities in this query.
vector - Variable in class org.lenskit.knn.user.Neighbor
VectorNormalizer - Interface in org.lenskit.transform.normalize: Normalize vectors by applying a reversible transformation with respect to a reference vector.
Vectors - Class in org.lenskit.util.math: Utility methods for vector arithmetic.
VectorSimilarity - Interface in org.lenskit.similarity: Compute the similarity between sparse vectors.
VectorTransformation - Interface in org.lenskit.transform.normalize: Reversible in-place vector transformations.
VectorTruncator - Interface in org.grouplens.lenskit.transform.truncate: Component that truncates vectors.
Version - Class in org.lenskit.cli.commands
Version() - Constructor for class org.lenskit.cli.commands.Version
visit(SatisfactionVisitor<T>) - Method in class org.lenskit.inject.PlaceholderSatisfaction

W

WeightedAverageNeighborhoodScorer - Class in org.lenskit.knn.item: Neighborhood scorer that computes the weighted average of neighbor scores.
WeightedAverageNeighborhoodScorer() - Constructor for class org.lenskit.knn.item.WeightedAverageNeighborhoodScorer
WeightedAverageUserNeighborhoodScorer - Class in org.lenskit.knn.user: Score an item using the weighted average of neighbor ratings.
WeightedAverageUserNeighborhoodScorer(int) - Constructor for class org.lenskit.knn.user.WeightedAverageUserNeighborhoodScorer: Construct a weighted average scorer.
WeightedSlopeOneItemScorer - Class in org.lenskit.slopeone: An ItemScorer that implements a weighted Slope One algorithm.
WeightedSlopeOneItemScorer(RatingVectorPDAO, SlopeOneModel, PreferenceDomain) - Constructor for class org.lenskit.slopeone.WeightedSlopeOneItemScorer
withAnyQualifier() - Method in interface org.lenskit.LenskitBinding
withAttribute(TypedName<T>, T) - Method in interface org.lenskit.data.dao.Query: Add an attribute value condition to the query.
within(Class<?>) - Method in class org.lenskit.config.BindingDSL
within(Class<?>, Closure<?>) - Method in class org.lenskit.config.BindingDSL: Enclose a block of configuration in a context.
within(Class<? extends Annotation>, Class<?>) - Method in class org.lenskit.config.BindingDSL
within(Class<? extends Annotation>, Class<?>, Closure<?>) - Method in class org.lenskit.config.BindingDSL: Enclose a block of configuration in a context.
within(Annotation, Class<?>) - Method in class org.lenskit.config.BindingDSL
within(Annotation, Class<?>, Closure<?>) - Method in class org.lenskit.config.BindingDSL: Enclose a block of configuration in a context.
within(Class<?>) - Method in interface org.lenskit.LenskitConfigContext
within(Class<? extends Annotation>, Class<?>) - Method in interface org.lenskit.LenskitConfigContext
within(Annotation, Class<?>) - Method in interface org.lenskit.LenskitConfigContext
within(Class<?>) - Method in class org.lenskit.LenskitConfiguration
within(Class<? extends Annotation>, Class<?>) - Method in class org.lenskit.LenskitConfiguration
within(Annotation, Class<?>) - Method in class org.lenskit.LenskitConfiguration
withPrefix(String) - Method in class org.lenskit.eval.traintest.metrics.MetricResult: Add a prefix to this metric result’s column names.
withQualifier(Class<? extends Annotation>) - Method in interface org.lenskit.LenskitBinding
withQualifier(Annotation) - Method in interface org.lenskit.LenskitBinding
withSuffix(String) - Method in class org.lenskit.eval.traintest.metrics.MetricResult: Add a suffix to this metric result’s column names.
wrap(Iterator<? extends T>) - Static method in class org.lenskit.util.io.ObjectStreams: Wrap an iterator in an object stream.
wrap(Stream<? extends T>) - Static method in class org.lenskit.util.io.ObjectStreams: Wrap a Java stream in an object stream.
wrap(Stream<? extends T>, Closeable) - Static method in class org.lenskit.util.io.ObjectStreams: Wrap a Java stream in an object stream.
wrap(Collection<? extends T>) - Static method in class org.lenskit.util.io.ObjectStreams: Wrap a collection in an object stream.
wrap(SortedKeyIndex, double[]) - Static method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Create a new long-to-double map backed by a key index and a corresponding value array.
wrap(long[], int) - Static method in class org.lenskit.util.keys.SortedKeyIndex: Wrap a key array (with a specified size) into a key set.
wrapContext(Context) - Static method in class org.lenskit.inject.AbstractConfigContext: Coerce a Grapht context to a LensKit context.
wrapInput(InputStream) - Method in enum org.lenskit.util.io.CompressionMode: Wrap an input stream in a decompressor.
wrapOutput(OutputStream) - Method in enum org.lenskit.util.io.CompressionMode: Wrap an output stream in this compression mode.
wrapUnsorted(long[], double[]) - Static method in class org.lenskit.util.keys.Long2DoubleSortedArrayMap: Create a new Long2DoubleSortedArrayMap from unsorted key and value arrays.
write(File) - Method in class org.lenskit.LenskitRecommenderEngine: Write the state of this recommender engine to the given file so that it can be recreated later using another DAOFactory.
write(File, CompressionMode) - Method in class org.lenskit.LenskitRecommenderEngine: Write the state of this recommender engine to the given file so that it can be recreated later using another DAOFactory.
write(OutputStream) - Method in class org.lenskit.LenskitRecommenderEngine: Write the state of this recommender engine to the given stream so that it can be recreated later using another DAOFactory.
writeRating(Rating) - Method in interface org.lenskit.data.output.RatingWriter: Write a rating to the writer.
writeRow(List<?>) - Method in class org.lenskit.util.table.TableBuilder
writeRow(Object...) - Method in class org.lenskit.util.table.writer.AbstractTableWriter: Write a row to the table.
writeRow(List<?>) - Method in class org.lenskit.util.table.writer.CSVWriter
writeRow(Object...) - Method in class org.lenskit.util.table.writer.DevNullTableWriter
writeRow(List<?>) - Method in class org.lenskit.util.table.writer.DevNullTableWriter
writeRow(Object...) - Method in class org.lenskit.util.table.writer.MultiplexedTableWriter
writeRow(List<?>) - Method in class org.lenskit.util.table.writer.MultiplexedTableWriter
writeRow(Object...) - Method in interface org.lenskit.util.table.writer.TableWriter: Write a row to the table.
writeRow(List<?>) - Method in interface org.lenskit.util.table.writer.TableWriter: Write a row to the table.

Z

ZeroBiasModel - Class in org.lenskit.bias: A bias model that always returns zeros.
ZeroBiasModel() - Constructor for class org.lenskit.bias.ZeroBiasModel

A B C D E F G H I J K L M N O P Q R S T U V W Z