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

A

actual - Variable in class org.wikibrain.sr.evaluation.MostSimilarGuess.Observation
 
add(double, int) - Method in class org.wikibrain.sr.ensemble.EnsembleSim
 
addCrossfolds(Dataset, int) - Method in class org.wikibrain.sr.evaluation.Evaluator
 
addCrossfolds(Dataset, int) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
Adds a crossfold validation of a particular dataset.
addCrossfolds(Dataset, int) - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluator
Adds a crossfold validation of a particular dataset.
addExplanation(Explanation) - Method in class org.wikibrain.sr.SRResult
 
addScore(int, double) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
addSplit(Split) - Method in class org.wikibrain.sr.evaluation.Evaluator
Adds a single split.
analyze(String, int) - Method in class org.wikibrain.sr.evaluation.QualitativeAnalyzer
 
analyze(File) - Method in class org.wikibrain.sr.evaluation.QualitativeAnalyzer
 
asTroveMap() - Method in class org.wikibrain.sr.SRResultList
Returns this list as a TIntFloatMap.

B

BaseCorpusCreator - Class in org.wikibrain.sr.wikify
 
BaseCorpusCreator(Language, LocalPageDao, Wikifier, LinkProbabilityDao) - Constructor for class org.wikibrain.sr.wikify.BaseCorpusCreator
 
BaseEvaluationLog<T extends BaseEvaluationLog> - Class in org.wikibrain.sr.evaluation
 
BaseEvaluationLog() - Constructor for class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
BaseEvaluationLog(File) - Constructor for class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
BaseEvaluationLog(Map<String, String>, File) - Constructor for class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
BaseEvaluationLog(Map<String, String>, File, Date) - Constructor for class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
BaseNormalizer - Class in org.wikibrain.sr.normalize
A class that supports various kinds of normalization.
BaseNormalizer() - Constructor for class org.wikibrain.sr.normalize.BaseNormalizer
To meet the serializable contract.
BaseSRMetric - Class in org.wikibrain.sr
This abstract class provides many useful building blocks for Monolingual SR Metrics.
BaseSRMetric(String, Language, LocalPageDao, Disambiguator) - Constructor for class org.wikibrain.sr.BaseSRMetric
 
BaseSRMetric.SRConfig - Class in org.wikibrain.sr
Returns properties about the metric.
BaseSRMetric.SRConfig() - Constructor for class org.wikibrain.sr.BaseSRMetric.SRConfig
 
build() - Method in class org.wikibrain.sr.SRBuilder
First deletes models if deleteExistingData is true, then builds the appropriate metrics.
buildFeatureAndTransposeMatrices(TIntSet) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
Rebuild the feature and transpose matrices.
buildMetric(String) - Method in class org.wikibrain.sr.SRBuilder
 

C

CategoryGraphSimilarity - Class in org.wikibrain.sr.category
 
CategoryGraphSimilarity(String, Language, LocalPageDao, Disambiguator, LocalCategoryMemberDao) - Constructor for class org.wikibrain.sr.category.CategoryGraphSimilarity
 
CategoryGraphSimilarity.Provider - Class in org.wikibrain.sr.category
 
CategoryGraphSimilarity.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.category.CategoryGraphSimilarity.Provider
 
centerValue(double) - Method in class org.wikibrain.sr.SRResult
Zeros the score about the specified value.
children - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
clear(File) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
clearMostSimilarCache() - Method in class org.wikibrain.sr.BaseSRMetric
 
close() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
compareTo(SRResult) - Method in class org.wikibrain.sr.SRResult
 
compareTo(KnownSim) - Method in class org.wikibrain.sr.utils.KnownSim
Sort by low to high similarity
compareTo(LinkInfo) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
concatenateBigrams(File, File, int) - Method in class org.wikibrain.sr.word2vec.Word2Phrase
 
config - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
config - Variable in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
ConfigMonolingualSRFactory - Class in org.wikibrain.sr.evaluation
Factory that constructs an SR metric using the config file.
ConfigMonolingualSRFactory(Language, Configurator, String) - Constructor for class org.wikibrain.sr.evaluation.ConfigMonolingualSRFactory
Constructs a new factory that creates an sr metric with a particular name from the config file.
ConfigMonolingualSRFactory(Language, Configurator, String, Map<String, Object>) - Constructor for class org.wikibrain.sr.evaluation.ConfigMonolingualSRFactory
Constructs a new factory that creates an sr metric with a particular name from the config file.
configureBase(Configurator, BaseSRMetric, Config) - Static method in class org.wikibrain.sr.BaseSRMetric
 
Corpus - Class in org.wikibrain.sr.wikify
 
Corpus(Language, File, Wikifier, RawPageDao, LocalPageDao, PhraseAnalyzerDao, LinkProbabilityDao) - Constructor for class org.wikibrain.sr.wikify.Corpus
 
Corpus.Provider - Class in org.wikibrain.sr.wikify
 
Corpus.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.wikify.Corpus.Provider
 
cosimilarity(int[], int[]) - Method in class org.wikibrain.sr.BaseSRMetric
 
cosimilarity(String[], String[]) - Method in class org.wikibrain.sr.BaseSRMetric
 
cosimilarity(int[]) - Method in class org.wikibrain.sr.BaseSRMetric
 
cosimilarity(String[]) - Method in class org.wikibrain.sr.BaseSRMetric
 
cosimilarity(int[], int[]) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
cosimilarity(String[], String[]) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
cosimilarity(int[]) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
cosimilarity(String[]) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
cosimilarity(int[], int[]) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
cosimilarity(int[], int[]) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
cosimilarity(String[], String[]) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
cosimilarity(int[]) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
cosimilarity(String[]) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
cosimilarity(int[], int[]) - Method in interface org.wikibrain.sr.SRMetric
Construct a cosimilarity matrix of Wikipedia ids in a given language.
cosimilarity(String[], String[]) - Method in interface org.wikibrain.sr.SRMetric
Construct a cosimilarity matrix of phrases.
cosimilarity(int[]) - Method in interface org.wikibrain.sr.SRMetric
Construct symmetric comsimilarity matrix of Wikipedia ids in a given language.
cosimilarity(String[]) - Method in interface org.wikibrain.sr.SRMetric
Construct symmetric cosimilarity matrix of phrases by mapping through local pages.
cosimilarity(String[], String[]) - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric
Calculates the cosimilarity matrix between phrases.
cosimilarity(int[]) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
cosimilarity(String[]) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
cosimilarity(String[], String[]) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
Calculates the cosimilarity matrix between phrases.
cosimilarity(int[], int[]) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
Computes the cosimilarity matrix between pages.
cosimilarity(List<TIntFloatMap>, List<TIntFloatMap>) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
Computes the cosimilarity between a set of vectors.
cosineSimilarity(TIntDoubleMap, TIntDoubleMap) - Static method in class org.wikibrain.sr.utils.SimUtils
 
cosineSimilarity(TIntFloatMap, TIntFloatMap) - Static method in class org.wikibrain.sr.utils.SimUtils
 
CosineSimilarity - Class in org.wikibrain.sr.vector
 
CosineSimilarity() - Constructor for class org.wikibrain.sr.vector.CosineSimilarity
 
CosineSimilarity.Provider - Class in org.wikibrain.sr.vector
 
CosineSimilarity.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.CosineSimilarity.Provider
 
create() - Method in class org.wikibrain.sr.evaluation.ConfigMonolingualSRFactory
 
create() - Method in interface org.wikibrain.sr.evaluation.MonolingualSRFactory
Creates a new, uninitialized SR metric.
create() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory
 
create() - Method in class org.wikibrain.sr.wikify.Corpus
 
createResults(File) - Method in class org.wikibrain.sr.evaluation.Evaluator
 
createResults(File) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
createResults(File) - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluator
 

D

Dataset - Class in org.wikibrain.sr.dataset
A gold standard dataset in some language.
Dataset(String, Language) - Constructor for class org.wikibrain.sr.dataset.Dataset
 
Dataset(String, Language, List<KnownSim>) - Constructor for class org.wikibrain.sr.dataset.Dataset
 
Dataset(List<Dataset>) - Constructor for class org.wikibrain.sr.dataset.Dataset
Concatenates a list of datasets into a new merged dataset.
Dataset(String, List<Dataset>) - Constructor for class org.wikibrain.sr.dataset.Dataset
Concatenates a list of datasets into a new merged dataset.
DatasetDao - Class in org.wikibrain.sr.dataset
Reads and writes datasets.
DatasetDao() - Constructor for class org.wikibrain.sr.dataset.DatasetDao
Creates a new dataset dao with particular configuration information.
DatasetDao(Collection<DatasetDao.Info>) - Constructor for class org.wikibrain.sr.dataset.DatasetDao
Creates a new dataset dao with particular configuration information.
DatasetDao.Info - Class in org.wikibrain.sr.dataset
Information about a particular dataset
DatasetDao.Info(String, LanguageSet) - Constructor for class org.wikibrain.sr.dataset.DatasetDao.Info
 
DatasetDao.Provider - Class in org.wikibrain.sr.dataset
 
DatasetDao.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.dataset.DatasetDao.Provider
 
DEFAULT_NUM_CANDIDATES - Static variable in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
deleteDataDirectories() - Method in class org.wikibrain.sr.SRBuilder
This method takes care to not load the metric itself, and just deal in names.
describeDisambiguator() - Method in class org.wikibrain.sr.evaluation.ConfigMonolingualSRFactory
 
describeDisambiguator() - Method in interface org.wikibrain.sr.evaluation.MonolingualSRFactory
Returns a string describing the disambig config.
describeDisambiguator() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory
 
describeMetric() - Method in class org.wikibrain.sr.evaluation.ConfigMonolingualSRFactory
 
describeMetric() - Method in interface org.wikibrain.sr.evaluation.MonolingualSRFactory
Returns a string describing the sr config.
describeMetric() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory
 
desiredMax - Variable in class org.wikibrain.sr.normalize.RangeNormalizer
 
desiredMin - Variable in class org.wikibrain.sr.normalize.RangeNormalizer
 
disambiguate(LocalString, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.Disambiguator
Disambiguates a single string in some language to a local pages in that language.
disambiguate(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.Disambiguator
Disambiguates multiple strings in some language to local pages in that language.
disambiguate(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
disambiguate(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator
 
disambiguate(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.TopResultDisambiguator
 
disambiguate(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.milnewitten.MilneWittenDisambiguator
Given
disambiguateTop(LocalString, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.Disambiguator
Disambiguates a single string in some language to a local page in that language.
disambiguateTop(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.Disambiguator
Disambiguates multiple strings in some language to local pages in that language.
disambiguateTop(LocalString, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator
 
disambiguateTop(List<LocalString>, Set<LocalString>) - Method in class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator
 
Disambiguator - Class in org.wikibrain.sr.disambig
Disambiguates phrases to local ids.
Disambiguator() - Constructor for class org.wikibrain.sr.disambig.Disambiguator
 
distanceToScore(double) - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity
 
distanceToScore(CategoryGraph, double) - Static method in class org.wikibrain.sr.category.CategoryGraphSimilarity
 
dump() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
dump() - Method in class org.wikibrain.sr.normalize.IdentityNormalizer
 
dump() - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
dump() - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
dump() - Method in interface org.wikibrain.sr.normalize.Normalizer
 
dump() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer
 
dump() - Method in class org.wikibrain.sr.normalize.RangeNormalizer
 
dump() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 

E

Ensemble - Interface in org.wikibrain.sr.ensemble
 
EnsembleMetric - Class in org.wikibrain.sr.ensemble
 
EnsembleMetric(String, Language, List<SRMetric>, Ensemble, Disambiguator, LocalPageDao) - Constructor for class org.wikibrain.sr.ensemble.EnsembleMetric
 
EnsembleMetric.Provider - Class in org.wikibrain.sr.ensemble
 
EnsembleMetric.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.ensemble.EnsembleMetric.Provider
 
EnsembleSim - Class in org.wikibrain.sr.ensemble
 
EnsembleSim(KnownSim) - Constructor for class org.wikibrain.sr.ensemble.EnsembleSim
 
ensureMostSimilarTrained() - Method in class org.wikibrain.sr.BaseSRMetric
Throws an IllegalStateException if the model has not been mostSimilarTrained.
ensureSimilarityTrained() - Method in class org.wikibrain.sr.BaseSRMetric
Throws an IllegalStateException if the model has not been mostSimilarTrained.
ESAGenerator - Class in org.wikibrain.sr.vector
 
ESAGenerator(Language, LocalPageDao, LuceneSearcher, String) - Constructor for class org.wikibrain.sr.vector.ESAGenerator
 
ESAGenerator.Provider - Class in org.wikibrain.sr.vector
 
ESAGenerator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.ESAGenerator.Provider
 
estimate - Variable in class org.wikibrain.sr.evaluation.MostSimilarGuess.Observation
 
evaluate(MonolingualSRFactory) - Method in class org.wikibrain.sr.evaluation.Evaluator
 
evaluateSplit(MonolingualSRFactory, Split, File, File, Map<String, String>) - Method in class org.wikibrain.sr.evaluation.Evaluator
 
evaluateSplit(MonolingualSRFactory, Split, File, File, Map<String, String>) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
Evaluates a particular split for mostSimilar()
evaluateSplit(MonolingualSRFactory, Split, File, File, Map<String, String>) - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluator
 
EvaluationMain - Class in org.wikibrain.sr.evaluation
 
EvaluationMain() - Constructor for class org.wikibrain.sr.evaluation.EvaluationMain
 
Evaluator<T extends BaseEvaluationLog<T>> - Class in org.wikibrain.sr.evaluation
An evaluator for SR metrics.
Evaluator(File, String) - Constructor for class org.wikibrain.sr.evaluation.Evaluator
 
EvenEnsemble - Class in org.wikibrain.sr.ensemble
 
EvenEnsemble() - Constructor for class org.wikibrain.sr.ensemble.EvenEnsemble
 
EvenEnsemble.Provider - Class in org.wikibrain.sr.ensemble
 
EvenEnsemble.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.ensemble.EvenEnsemble.Provider
 
exists() - Method in class org.wikibrain.sr.wikify.Corpus
 
Explanation - Class in org.wikibrain.sr
 
Explanation(String, List<Object>) - Constructor for class org.wikibrain.sr.Explanation
Used to make a human-readable explanations of sr measures
Explanation(String, Object...) - Constructor for class org.wikibrain.sr.Explanation
Used to make a human-readable explanations of sr measures
ExplanationFormatter - Class in org.wikibrain.sr.utils
 
ExplanationFormatter(LocalPageDao) - Constructor for class org.wikibrain.sr.utils.ExplanationFormatter
 
ExplanationFormatter.Provider - Class in org.wikibrain.sr.utils
 
ExplanationFormatter.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.utils.ExplanationFormatter.Provider
 
explanations - Variable in class org.wikibrain.sr.SRResult
 
EXTRA_SEARCH_DEPTH - Static variable in class org.wikibrain.sr.ensemble.EnsembleMetric
 

F

failed - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
FancyPhraseVectorBasedSRMetric - Class in org.wikibrain.sr.vector
 
FancyPhraseVectorBasedSRMetric(String, Language, LocalPageDao, Disambiguator, VectorGenerator, VectorSimilarity, PhraseVectorCreator) - Constructor for class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric
 
FancyPhraseVectorBasedSRMetric.Provider - Class in org.wikibrain.sr.vector
 
FancyPhraseVectorBasedSRMetric.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric.Provider
 
FeatureFilter - Interface in org.wikibrain.sr.vector
Can be used to filter a feature vector.
filter(int, TIntFloatMap) - Method in interface org.wikibrain.sr.vector.FeatureFilter
 
filter(int, SparseMatrixRow) - Method in interface org.wikibrain.sr.vector.FeatureFilter
 
formatDate(Date) - Static method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
formatExplanation(Explanation) - Method in class org.wikibrain.sr.utils.ExplanationFormatter
 

G

generator - Variable in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity.Provider
 
get(Language, String) - Method in class org.wikibrain.sr.dataset.DatasetDao
Reads a dataset from the classpath with a particular name.
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.dataset.DatasetDao.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.disambig.TopResultDisambiguator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.milnewitten.MilneWittenDisambiguator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.normalize.IdentityNormalizer.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.normalize.LoessNormalizer.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.normalize.LogNormalizer.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.normalize.PercentileNormalizer.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.normalize.RangeNormalizer.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer.Provider
 
get(int) - Method in class org.wikibrain.sr.SRResultList
Returns the SRResult at the specified index.
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.utils.ExplanationFormatter.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.CosineSimilarity.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.ESAGenerator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.GoogleSimilarity.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.LinkGenerator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.wikify.Corpus.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.wikify.IdentityWikifier.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.wikify.WebSailWikifier.Provider
 
get(String, Config, Map<String, String>) - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator.Provider
 
getAboveThreshold(double) - Method in class org.wikibrain.sr.evaluation.KnownMostSim
 
getActual() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getActual() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getActualRank() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getAllInLanguage(Language) - Method in class org.wikibrain.sr.dataset.DatasetDao
 
getAnchortext() - Method in class org.wikibrain.sr.wikify.LinkInfo
Text of possible link.
getCachedMostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.BaseSRMetric
If the cache exists, and contains at least numResults valid ids for the requested id, return it.
getChildEvaluations() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getChildEvaluations() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getChildEvaluations() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getChildFiles() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getConcepts() - Method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
 
getConfig() - Method in class org.wikibrain.sr.BaseSRMetric
 
getConfig() - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity
 
getConfig() - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
getConfig() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getConfig() - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
getConfig() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
getCorpus() - Method in class org.wikibrain.sr.wikify.BaseCorpusCreator
 
getCorpus() - Method in class org.wikibrain.sr.wikify.WikiTextCorpusCreator
 
getCorpusFile() - Method in class org.wikibrain.sr.wikify.Corpus
 
getCriteria() - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
getData() - Method in class org.wikibrain.sr.dataset.Dataset
 
getDataDir() - Method in class org.wikibrain.sr.BaseSRMetric
 
getDataDir() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
getDataDir() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
getDataDir() - Method in interface org.wikibrain.sr.SRMetric
Returns the directory containing all data for the metric.
getDataset() - Method in class org.wikibrain.sr.SRBuilder
 
getDatasetOrGroup(Language, String) - Method in class org.wikibrain.sr.dataset.DatasetDao
 
getDest() - Method in class org.wikibrain.sr.wikify.LinkInfo
 
getDictionaryFile() - Method in class org.wikibrain.sr.wikify.Corpus
 
getDirectory() - Method in class org.wikibrain.sr.wikify.Corpus
 
getDisambiguator() - Method in class org.wikibrain.sr.BaseSRMetric
 
getEndChar() - Method in class org.wikibrain.sr.wikify.LinkInfo
 
getError() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getError2() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getEstimates() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getExplanations() - Method in class org.wikibrain.sr.SRResult
 
getExplanations(int, int, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.vector.ESAGenerator
 
getExplanations(String, String, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.vector.ESAGenerator
 
getExplanations(String, String, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.vector.LinkGenerator
 
getExplanations(int, int, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.vector.LinkGenerator
 
getExplanations(String, String, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator
 
getExplanations(int, int, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator
 
getExplanations(String, String, TIntFloatMap, TIntFloatMap, SRResult) - Method in interface org.wikibrain.sr.vector.VectorGenerator
Adds the explanation for a particular SRResult if it is supported.
getExplanations(int, int, TIntFloatMap, TIntFloatMap, SRResult) - Method in interface org.wikibrain.sr.vector.VectorGenerator
Adds the explanation for a particular SRResult if it is supported.
getExplanations(String, String, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
getExplanations(int, int, TIntFloatMap, TIntFloatMap, SRResult) - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
getFailed() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getFeatureMatrixPath() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
getFilter() - Method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
 
getFormat() - Method in class org.wikibrain.sr.Explanation
 
getGenerator() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
getGroup(Language, String) - Method in class org.wikibrain.sr.dataset.DatasetDao
Return all the member datasets in the specified group.
getGroup() - Method in class org.wikibrain.sr.evaluation.Split
 
getGuess() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getGuesses() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getId() - Method in class org.wikibrain.sr.SRResult
 
getId(int) - Method in class org.wikibrain.sr.SRResultList
Returns the ID of the specified index.
getId() - Method in class org.wikibrain.sr.wikify.IdAndText
 
getIds() - Method in class org.wikibrain.sr.SRResultList
Returns an array of the IDs in this list.
getIndexForId(int) - Method in class org.wikibrain.sr.SRResultList
Returns the index of the specified ID, or -1 if not found.
getInfo(String) - Method in class org.wikibrain.sr.dataset.DatasetDao
 
getInformation() - Method in class org.wikibrain.sr.Explanation
 
getInterpolatedRank(int) - Method in class org.wikibrain.sr.ensemble.Interpolator
 
getInterpolatedScore(int) - Method in class org.wikibrain.sr.ensemble.Interpolator
 
getKnown() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getKnown() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
getKnownDest() - Method in class org.wikibrain.sr.wikify.LinkInfo
Wikipedia id of destination this is an existing link, otherwise null (used for training)
getKnownSim() - Method in class org.wikibrain.sr.ensemble.EnsembleSim
 
getLanguage() - Method in class org.wikibrain.sr.BaseSRMetric
 
getLanguage() - Method in class org.wikibrain.sr.dataset.Dataset
 
getLanguage() - Method in class org.wikibrain.sr.evaluation.KnownMostSim
 
getLanguage() - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
 
getLanguage() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
getLanguage() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
getLanguage() - Method in interface org.wikibrain.sr.SRMetric
 
getLanguages() - Method in class org.wikibrain.sr.dataset.DatasetDao.Info
 
getLength() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
getLinkProbability() - Method in class org.wikibrain.sr.wikify.LinkInfo
Probability that specified text represents a link.
getLocalPageDao() - Method in class org.wikibrain.sr.BaseSRMetric
 
getLogPath() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getLogTransform() - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
getMax() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
getMaxConcepts() - Method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
Simple heuristic for number of max concepts.
getMaxValue() - Method in class org.wikibrain.sr.vector.CosineSimilarity
 
getMaxValue() - Method in class org.wikibrain.sr.vector.GoogleSimilarity
 
getMaxValue() - Method in interface org.wikibrain.sr.vector.VectorSimilarity
 
getMeanAbsoluteError() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getMeanRelevance() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getMetric() - Method in class org.wikibrain.sr.SRBuilder
 
getMetric(String) - Method in class org.wikibrain.sr.SRBuilder
 
getMetricConfig() - Method in class org.wikibrain.sr.SRBuilder
 
getMetricConfig(String) - Method in class org.wikibrain.sr.SRBuilder
 
getMetrics() - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
getMetricType() - Method in class org.wikibrain.sr.SRBuilder
 
getMetricType(String) - Method in class org.wikibrain.sr.SRBuilder
 
getMin() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
getMinValue() - Method in class org.wikibrain.sr.vector.CosineSimilarity
 
getMinValue() - Method in class org.wikibrain.sr.vector.GoogleSimilarity
 
getMinValue() - Method in interface org.wikibrain.sr.vector.VectorSimilarity
 
getMissing() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getMissingScore() - Method in class org.wikibrain.sr.SRResultList
Returns the estimated similarity score for missing documents.
getModelFile(String, Language) - Static method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
getModelFile(File, Language) - Static method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
getMostSimilar() - Method in class org.wikibrain.sr.evaluation.KnownMostSim
 
getMostSimilarCache() - Method in class org.wikibrain.sr.BaseSRMetric
 
getMostSimilarMatrixPath() - Method in class org.wikibrain.sr.BaseSRMetric
 
getMostSimilarNormalizer() - Method in class org.wikibrain.sr.BaseSRMetric
 
getMostSimilarNormalizer() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
getMostSimilarNormalizer() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
getMostSimilarNormalizer() - Method in interface org.wikibrain.sr.SRMetric
 
getMostSimilarNormalizer() - Method in class org.wikibrain.sr.utils.SrNormalizers
 
getN() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getName() - Method in class org.wikibrain.sr.BaseSRMetric
 
getName() - Method in class org.wikibrain.sr.dataset.Dataset
 
getName() - Method in class org.wikibrain.sr.dataset.DatasetDao.Info
 
getName() - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
getName() - Method in class org.wikibrain.sr.evaluation.ConfigMonolingualSRFactory
 
getName() - Method in interface org.wikibrain.sr.evaluation.MonolingualSRFactory
Returns the name of the generated metric.
getName() - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
 
getName() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory
 
getName() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
getName() - Method in class org.wikibrain.sr.evaluation.Split
 
getName() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
getName() - Method in interface org.wikibrain.sr.SRMetric
 
getNDCG() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getNDGC() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
getNumCandidates() - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
getNumMetricsWithScore() - Method in class org.wikibrain.sr.ensemble.EnsembleSim
 
getNumStopConcepts() - Method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
Ridiculous heuristic: number of stop concepts = 2 * cubed-root-of(num-articles) For simple english (175K articles), this is about 100 For english (4M articles), this is about 300
getObservations() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
getPageId() - Method in class org.wikibrain.sr.evaluation.KnownMostSim
 
getPageVector(int) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
Returns the vector associated with a page, or null.
getPath() - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity.Provider
 
getPath() - Method in class org.wikibrain.sr.dataset.DatasetDao.Provider
 
getPath() - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator.Provider
 
getPath() - Method in class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator.Provider
 
getPath() - Method in class org.wikibrain.sr.disambig.TopResultDisambiguator.Provider
 
getPath() - Method in class org.wikibrain.sr.ensemble.EnsembleMetric.Provider
 
getPath() - Method in class org.wikibrain.sr.ensemble.EvenEnsemble.Provider
 
getPath() - Method in class org.wikibrain.sr.milnewitten.MilneWittenDisambiguator.Provider
 
getPath() - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric.Provider
 
getPath() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten.Provider
 
getPath() - Method in class org.wikibrain.sr.normalize.IdentityNormalizer.Provider
 
getPath() - Method in class org.wikibrain.sr.normalize.LoessNormalizer.Provider
 
getPath() - Method in class org.wikibrain.sr.normalize.LogNormalizer.Provider
 
getPath() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer.Provider
 
getPath() - Method in class org.wikibrain.sr.normalize.RangeNormalizer.Provider
 
getPath() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer.Provider
 
getPath() - Method in class org.wikibrain.sr.utils.ExplanationFormatter.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.CosineSimilarity.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.ESAGenerator.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.GoogleSimilarity.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.LinkGenerator.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.PhraseVectorCreator.Provider
 
getPath() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric.Provider
 
getPath() - Method in class org.wikibrain.sr.wikify.Corpus.Provider
 
getPath() - Method in class org.wikibrain.sr.wikify.IdentityWikifier.Provider
 
getPath() - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier.Provider
 
getPath() - Method in class org.wikibrain.sr.wikify.WebSailWikifier.Provider
 
getPath() - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator.Provider
 
getPearsonsCorrelation() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getPearsonsCorrelation() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getPenalizedNDCG() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getPenalizedNDGC() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
getPhrase() - Method in class org.wikibrain.sr.evaluation.KnownMostSim
 
getPhrase1() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getPhrase2() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getPhrases() - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
 
getPhraseVector(String) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
getPhraseVectors(String...) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
getPrecision() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getPrecisionRecall(int, double) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getPrecisionRecall(int, double) - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
getPredictedRank() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getPrior() - Method in class org.wikibrain.sr.wikify.LinkInfo
Prior distribution of links associated with text.
getRankError() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getRanks() - Method in class org.wikibrain.sr.ensemble.EnsembleSim
 
getRecall() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getRetrievedIrrelevant() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getRetrievedRelevant() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getReversed() - Method in class org.wikibrain.sr.utils.KnownSim
 
getRootMeanSquareError() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getScope() - Method in class org.wikibrain.sr.normalize.LoessNormalizer.Provider
 
getScope() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer.Provider
 
getScope() - Method in class org.wikibrain.sr.normalize.RangeNormalizer.Provider
 
getScope() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer.Provider
 
getScore() - Method in class org.wikibrain.sr.SRResult
 
getScore(int) - Method in class org.wikibrain.sr.SRResultList
Returns the score of the specified index.
getScore() - Method in class org.wikibrain.sr.wikify.LinkInfo
 
getScoreForId(int) - Method in class org.wikibrain.sr.SRResultList
Returns the score for the specified ID, or Double.NaN if not found.
getScores() - Method in class org.wikibrain.sr.ensemble.EnsembleSim
 
getScores() - Method in class org.wikibrain.sr.SRResultList
Returns an array of scores in this list.
getScores() - Method in class org.wikibrain.sr.wikify.LinkInfo
Scores for outbound pages, ordered by score (track top 5).
getScoresAsFloat() - Method in class org.wikibrain.sr.SRResultList
Returns an array of scores in this list as float values.
getSimilarities(String) - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
 
getSimilarity() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
getSimilarityNormalizer() - Method in class org.wikibrain.sr.BaseSRMetric
 
getSimilarityNormalizer() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
getSimilarityNormalizer() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
getSimilarityNormalizer() - Method in interface org.wikibrain.sr.SRMetric
 
getSimilarityNormalizer() - Method in class org.wikibrain.sr.utils.SrNormalizers
 
getSpearmansCorrelation() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getSpearmansCorrelation() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getSplits() - Method in class org.wikibrain.sr.evaluation.Evaluator
 
getStartChar() - Method in class org.wikibrain.sr.wikify.LinkInfo
Range of the anchortext token.
getSubmetrics(String) - Method in class org.wikibrain.sr.SRBuilder
Returns a list of metric names (including the passed in name) that are a submetric of the specified metric.
getSuccessful() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getSummaryAsMap() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Return a textual summary of the evaluation as a map.
getSummaryAsMap() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
getSummaryAsMap() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
getSummaryFields() - Method in class org.wikibrain.sr.evaluation.Evaluator
 
getSummaryFields() - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
getSummaryFields() - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluator
 
getTest() - Method in class org.wikibrain.sr.evaluation.Split
 
getText() - Method in class org.wikibrain.sr.wikify.IdAndText
 
getTextContext(String) - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier
 
getThreshold() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getTop() - Method in class org.wikibrain.sr.utils.Leaderboard
 
getTopPriorDestination() - Method in class org.wikibrain.sr.wikify.LinkInfo
 
getTotal() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
getTotalIrrelevant() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getTotalRelevant() - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
getTrain() - Method in class org.wikibrain.sr.evaluation.Split
 
getTransposeMatrixPath() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
getType() - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity.Provider
 
getType() - Method in class org.wikibrain.sr.dataset.DatasetDao.Provider
 
getType() - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator.Provider
 
getType() - Method in class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator.Provider
 
getType() - Method in class org.wikibrain.sr.disambig.TopResultDisambiguator.Provider
 
getType() - Method in class org.wikibrain.sr.ensemble.EnsembleMetric.Provider
 
getType() - Method in class org.wikibrain.sr.ensemble.EvenEnsemble.Provider
 
getType() - Method in class org.wikibrain.sr.milnewitten.MilneWittenDisambiguator.Provider
 
getType() - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric.Provider
 
getType() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten.Provider
 
getType() - Method in class org.wikibrain.sr.normalize.IdentityNormalizer.Provider
 
getType() - Method in class org.wikibrain.sr.normalize.LoessNormalizer.Provider
 
getType() - Method in class org.wikibrain.sr.normalize.LogNormalizer.Provider
 
getType() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer.Provider
 
getType() - Method in class org.wikibrain.sr.normalize.RangeNormalizer.Provider
 
getType() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer.Provider
 
getType() - Method in class org.wikibrain.sr.utils.ExplanationFormatter.Provider
 
getType() - Method in class org.wikibrain.sr.vector.CosineSimilarity.Provider
 
getType() - Method in class org.wikibrain.sr.vector.ESAGenerator.Provider
 
getType() - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric.Provider
 
getType() - Method in class org.wikibrain.sr.vector.GoogleSimilarity.Provider
 
getType() - Method in class org.wikibrain.sr.vector.LinkGenerator.Provider
 
getType() - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator.Provider
 
getType() - Method in class org.wikibrain.sr.vector.PhraseVectorCreator.Provider
 
getType() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric.Provider
 
getType() - Method in class org.wikibrain.sr.wikify.Corpus.Provider
 
getType() - Method in class org.wikibrain.sr.wikify.IdentityWikifier.Provider
 
getType() - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier.Provider
 
getType() - Method in class org.wikibrain.sr.wikify.WebSailWikifier.Provider
 
getType() - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator.Provider
 
getUniqueKey() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
getVector(int) - Method in class org.wikibrain.sr.vector.ESAGenerator
 
getVector(String) - Method in class org.wikibrain.sr.vector.ESAGenerator
 
getVector(int) - Method in class org.wikibrain.sr.vector.LinkGenerator
 
getVector(String) - Method in class org.wikibrain.sr.vector.LinkGenerator
 
getVector(int) - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator
 
getVector(String) - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator
 
getVector(int) - Method in interface org.wikibrain.sr.vector.VectorGenerator
Returns the feature vector associated with Wikipedia id.
getVector(String) - Method in interface org.wikibrain.sr.vector.VectorGenerator
Returns the feature vector associated with the phrase
getVector(int) - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
getVector(String) - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
googleSimilarity(int, int, int, int) - Static method in class org.wikibrain.sr.utils.SimUtils
 
GoogleSimilarity - Class in org.wikibrain.sr.vector
Google Similarity measure, as described in Milne and Witten: http://www.cs.waikato.ac.nz/~ihw/papers/08-DM-IHW-Semantic_relatedness.pdf
GoogleSimilarity(int) - Constructor for class org.wikibrain.sr.vector.GoogleSimilarity
 
GoogleSimilarity.Provider - Class in org.wikibrain.sr.vector
 
GoogleSimilarity.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.GoogleSimilarity.Provider
 

H

hasFeatureMatrix() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
hasGuess() - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
hashWord(String) - Static method in class org.wikibrain.sr.word2vec.Word2VecUtils
Returns a hashcode for a particular word.
hasNext() - Method in class org.wikibrain.sr.wikify.WikiTextCorpusCreator.RawPageTextIterator
 
hasOnePossibility() - Method in class org.wikibrain.sr.wikify.LinkInfo
 
hasReadableNormalizers(File) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
hasTransposeMatrix() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 

I

id - Variable in class org.wikibrain.sr.evaluation.MostSimilarGuess.Observation
 
id - Variable in class org.wikibrain.sr.SRResult
 
IdAndText - Class in org.wikibrain.sr.wikify
 
IdAndText(String) - Constructor for class org.wikibrain.sr.wikify.IdAndText
 
IdAndText(int, String) - Constructor for class org.wikibrain.sr.wikify.IdAndText
 
IdentityNormalizer - Class in org.wikibrain.sr.normalize
 
IdentityNormalizer() - Constructor for class org.wikibrain.sr.normalize.IdentityNormalizer
 
IdentityNormalizer.Provider - Class in org.wikibrain.sr.normalize
 
IdentityNormalizer.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.normalize.IdentityNormalizer.Provider
 
IdentityWikifier - Class in org.wikibrain.sr.wikify
A wikifier that just returns existing hyperliks.
IdentityWikifier(Language, RawPageDao, LocalLinkDao) - Constructor for class org.wikibrain.sr.wikify.IdentityWikifier
 
IdentityWikifier.Provider - Class in org.wikibrain.sr.wikify
 
IdentityWikifier.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.wikify.IdentityWikifier.Provider
 
initMetric(String) - Method in class org.wikibrain.sr.SRBuilder
 
interpolate(EnsembleSim) - Method in class org.wikibrain.sr.ensemble.Interpolator
 
interpolateRank(int, int) - Method in class org.wikibrain.sr.ensemble.Interpolator
 
interpolateScore(int, double) - Method in class org.wikibrain.sr.ensemble.Interpolator
 
Interpolator - Class in org.wikibrain.sr.ensemble
 
Interpolator(int) - Constructor for class org.wikibrain.sr.ensemble.Interpolator
 
interpolator - Variable in class org.wikibrain.sr.normalize.PercentileNormalizer
 
intersects(TIntSet) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
isGroup(String) - Method in class org.wikibrain.sr.dataset.DatasetDao
Returns true if the name is the name of a group of datasets
isTrained() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
isTrained() - Method in class org.wikibrain.sr.normalize.IdentityNormalizer
 
isTrained() - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
isTrained() - Method in interface org.wikibrain.sr.normalize.Normalizer
 
isValid() - Method in class org.wikibrain.sr.SRResult
Returns whether or not the score is valid, ie.
iterator() - Method in class org.wikibrain.sr.SRResultList
 

K

KnownMostSim - Class in org.wikibrain.sr.evaluation
 
KnownMostSim(List<KnownSim>) - Constructor for class org.wikibrain.sr.evaluation.KnownMostSim
Creates a new KnownMostSim without a similarity threshold (i.e.
KnownMostSim(List<KnownSim>, double) - Constructor for class org.wikibrain.sr.evaluation.KnownMostSim
Creates a new KnownMostSim from a list of KnownSims.
KnownSim - Class in org.wikibrain.sr.utils
A single human labeled entry from the gold standard dataset.
KnownSim(String, String, double, Language) - Constructor for class org.wikibrain.sr.utils.KnownSim
 
KnownSim(String, String, int, int, double, Language) - Constructor for class org.wikibrain.sr.utils.KnownSim
 
KnownSimGuess - Class in org.wikibrain.sr.evaluation
 
KnownSimGuess(KnownSim, double) - Constructor for class org.wikibrain.sr.evaluation.KnownSimGuess
 

L

language - Variable in class org.wikibrain.sr.utils.KnownSim
 
Leaderboard - Class in org.wikibrain.sr.utils
 
Leaderboard(int) - Constructor for class org.wikibrain.sr.utils.Leaderboard
 
learnThreshold(int) - Method in class org.wikibrain.sr.word2vec.Word2Phrase
 
LinearEnsemble - Class in org.wikibrain.sr.ensemble
 
LinearEnsemble(int) - Constructor for class org.wikibrain.sr.ensemble.LinearEnsemble
 
LinkGenerator - Class in org.wikibrain.sr.vector
Generates a sparse vector containing a "1" for each inbound or outbound link for a page.
LinkGenerator(Language, LocalLinkDao, LocalPageDao, boolean, String) - Constructor for class org.wikibrain.sr.vector.LinkGenerator
 
LinkGenerator.LinkType - Enum in org.wikibrain.sr.vector
 
LinkGenerator.Provider - Class in org.wikibrain.sr.vector
 
LinkGenerator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.LinkGenerator.Provider
 
LinkInfo - Class in org.wikibrain.sr.wikify
 
LinkInfo() - Constructor for class org.wikibrain.sr.wikify.LinkInfo
 
LinkInfo(Token) - Constructor for class org.wikibrain.sr.wikify.LinkInfo
 
LinkInfo(LocalLink) - Constructor for class org.wikibrain.sr.wikify.LinkInfo
 
LoessNormalizer - Class in org.wikibrain.sr.normalize
Normalizes in two steps: 1.
LoessNormalizer() - Constructor for class org.wikibrain.sr.normalize.LoessNormalizer
 
LoessNormalizer.Provider - Class in org.wikibrain.sr.normalize
 
LoessNormalizer.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.normalize.LoessNormalizer.Provider
 
log - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
LogNormalizer - Class in org.wikibrain.sr.normalize
A simple normalizer that returns log(1 + min-score).
LogNormalizer() - Constructor for class org.wikibrain.sr.normalize.LogNormalizer
 
LogNormalizer.Provider - Class in org.wikibrain.sr.normalize
 
LogNormalizer.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.normalize.LogNormalizer.Provider
 
logPath - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 

M

main(String[]) - Static method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
 
main(String[]) - Static method in class org.wikibrain.sr.evaluation.EvaluationMain
 
main(String[]) - Static method in class org.wikibrain.sr.evaluation.QualitativeAnalyzer
 
main(String[]) - Static method in class org.wikibrain.sr.MatrixSummarizer
 
main(String[]) - Static method in class org.wikibrain.sr.MetricTrainer
 
main(String[]) - Static method in class org.wikibrain.sr.SRBuilder
 
main(String[]) - Static method in class org.wikibrain.sr.wikify.MilneWittenWikifier
 
main(String[]) - Static method in class org.wikibrain.sr.wikify.Tester
 
main(String[]) - Static method in class org.wikibrain.sr.wikify.WikiTextCorpusCreator
 
main(String[]) - Static method in class org.wikibrain.sr.word2vec.Word2Phrase
 
main(String[]) - Static method in class org.wikibrain.sr.word2vec.Word2VecTrainer
 
makeInterpolater() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer
 
makeUnitLength() - Method in class org.wikibrain.sr.SRResultList
Normalizes the score vector of this list to a unit length.
markAsUsed(TIntSet) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
MatrixSummarizer - Class in org.wikibrain.sr
 
MatrixSummarizer(LocalPageDao) - Constructor for class org.wikibrain.sr.MatrixSummarizer
 
max - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
maxScore - Variable in class org.wikibrain.sr.BaseSRMetric.SRConfig
 
maxScore() - Method in class org.wikibrain.sr.SRResultList
 
maybeSwap() - Method in class org.wikibrain.sr.utils.KnownSim
Swaps phrase1 and phrase2 50% of the time
merge(T) - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Merges the accumulated values in eval into
merge(MostSimilarEvaluationLog) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
merge(PrecisionRecallAccumulator) - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
merge(SimilarityEvaluationLog) - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
MetricTrainer - Class in org.wikibrain.sr
 
MetricTrainer() - Constructor for class org.wikibrain.sr.MetricTrainer
 
MilneWittenDisambiguator - Class in org.wikibrain.sr.milnewitten
 
MilneWittenDisambiguator(LocalPageDao, PhraseAnalyzer, SRMetric) - Constructor for class org.wikibrain.sr.milnewitten.MilneWittenDisambiguator
Construct a new disambiguator that uses a particular metric.
MilneWittenDisambiguator.Provider - Class in org.wikibrain.sr.milnewitten
 
MilneWittenDisambiguator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.milnewitten.MilneWittenDisambiguator.Provider
 
MilneWittenMetric - Class in org.wikibrain.sr.milnewitten
Generates a sparse vector containing both inbound and outbound links for a page.
MilneWittenMetric(String, Language, LocalPageDao, SRMetric, SRMetric, Disambiguator) - Constructor for class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
MilneWittenMetric.Provider - Class in org.wikibrain.sr.milnewitten
 
MilneWittenMetric.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.milnewitten.MilneWittenMetric.Provider
 
MilneWittenWikifier - Class in org.wikibrain.sr.wikify
 
MilneWittenWikifier(SRMetric, AnchorTextPhraseAnalyzer, LocalPageDao, RawPageDao, LocalLinkDao, LinkProbabilityDao) - Constructor for class org.wikibrain.sr.wikify.MilneWittenWikifier
 
MilneWittenWikifier.Provider - Class in org.wikibrain.sr.wikify
 
MilneWittenWikifier.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.wikify.MilneWittenWikifier.Provider
 
min - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
minScore - Variable in class org.wikibrain.sr.BaseSRMetric.SRConfig
 
minScore() - Method in class org.wikibrain.sr.SRResultList
 
missing - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
missingMean - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
MonolingualSRFactory - Interface in org.wikibrain.sr.evaluation
 
MOST_SIMILAR_NORMALIZER - Static variable in class org.wikibrain.sr.utils.SrNormalizers
 
mostSimilar(int, int) - Method in class org.wikibrain.sr.BaseSRMetric
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.BaseSRMetric
 
mostSimilar(String, int) - Method in class org.wikibrain.sr.BaseSRMetric
 
mostSimilar(String, int, TIntSet) - Method in class org.wikibrain.sr.BaseSRMetric
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
mostSimilar(String, int, TIntSet) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
mostSimilar(int, int) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
mostSimilar(String, int) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
mostSimilar(String, int, TIntSet) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
mostSimilar(int, int) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
mostSimilar(String, int) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
mostSimilar(String, int, TIntSet) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
mostSimilar(int, int) - Method in interface org.wikibrain.sr.SRMetric
Find the most similar local pages to a local page within the same language.
mostSimilar(int, int, TIntSet) - Method in interface org.wikibrain.sr.SRMetric
Find the most similar local pages to a local page.
mostSimilar(String, int) - Method in interface org.wikibrain.sr.SRMetric
Find the most similar local pages to a phrase.
mostSimilar(String, int, TIntSet) - Method in interface org.wikibrain.sr.SRMetric
Find the most similar local pages to a phrase.
mostSimilar(TIntFloatMap, int, TIntSet) - Method in class org.wikibrain.sr.vector.CosineSimilarity
 
mostSimilar(String, int, TIntSet) - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric
 
mostSimilar(TIntFloatMap, int, TIntSet) - Method in class org.wikibrain.sr.vector.GoogleSimilarity
 
mostSimilar(String, int, TIntSet) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
mostSimilar(int, int, TIntSet) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
mostSimilar(TIntFloatMap, int, TIntSet) - Method in interface org.wikibrain.sr.vector.VectorSimilarity
Returns the most similar items for a particular vector.
MostSimilarConceptsGenerator - Class in org.wikibrain.sr.vector
Generates an
MostSimilarConceptsGenerator(Language, LocalPageDao, SRMetric, int) - Constructor for class org.wikibrain.sr.vector.MostSimilarConceptsGenerator
 
MostSimilarConceptsGenerator.Provider - Class in org.wikibrain.sr.vector
 
MostSimilarConceptsGenerator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.MostSimilarConceptsGenerator.Provider
 
MostSimilarDataset - Class in org.wikibrain.sr.evaluation
Groups similarities for a particular phrases together to form ranked most similar lists.
MostSimilarDataset(Dataset) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarDataset
 
MostSimilarDataset(List<Dataset>) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarDataset
Creates a new most similar dataset based on some input datasets.
MostSimilarDataset(List<Dataset>, double) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarDataset
Creates a new most similar dataset based on some input datasets.
MostSimilarEvaluationLog - Class in org.wikibrain.sr.evaluation
 
MostSimilarEvaluationLog() - Constructor for class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
MostSimilarEvaluationLog(File) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
MostSimilarEvaluationLog(Map<String, String>, File) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
MostSimilarEvaluationLog(Map<String, String>, File, Date) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
MostSimilarEvaluator - Class in org.wikibrain.sr.evaluation
 
MostSimilarEvaluator(File) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
MostSimilarGuess - Class in org.wikibrain.sr.evaluation
A most generated similar list that can be evaluated against a known human-labeled gold-standard.
MostSimilarGuess(KnownMostSim, String) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarGuess
 
MostSimilarGuess(KnownMostSim, SRResultList) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarGuess
 
MostSimilarGuess.Observation - Class in org.wikibrain.sr.evaluation
Represents an entry in the most similar result list with known similarity.
MostSimilarGuess.Observation(int, int, double, double) - Constructor for class org.wikibrain.sr.evaluation.MostSimilarGuess.Observation
 
mostSimilarIsTrained() - Method in class org.wikibrain.sr.BaseSRMetric
 
mostSimilarIsTrained() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
mostSimilarIsTrained() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
mostSimilarIsTrained() - Method in interface org.wikibrain.sr.SRMetric
 

N

next() - Method in class org.wikibrain.sr.wikify.WikiTextCorpusCreator.RawPageTextIterator
 
normalize(SRResult) - Method in class org.wikibrain.sr.BaseSRMetric
Use the language-specific similarity normalizer to normalize a similarity if it exists.
normalize(SRResultList) - Method in class org.wikibrain.sr.BaseSRMetric
Use the language-specific most similar normalizer to normalize a similarity if it exists.
normalize(double) - Method in class org.wikibrain.sr.BaseSRMetric
 
normalize() - Method in class org.wikibrain.sr.dataset.Dataset
Normalizes the range of scores to [0,1]
normalize(SRResultList) - Method in class org.wikibrain.sr.normalize.BaseNormalizer
A basic implementation of normalize.
normalize(double) - Method in class org.wikibrain.sr.normalize.IdentityNormalizer
 
normalize(double) - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
normalize(SRResultList) - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
normalize(double) - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
normalize(SRResultList) - Method in interface org.wikibrain.sr.normalize.Normalizer
 
normalize(double) - Method in interface org.wikibrain.sr.normalize.Normalizer
 
normalize(double) - Method in class org.wikibrain.sr.normalize.PercentileNormalizer
 
normalize(double) - Method in class org.wikibrain.sr.normalize.RangeNormalizer
 
normalize(SRResultList) - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
normalize(double) - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
Normalizer - Interface in org.wikibrain.sr.normalize
 
normalizeVector(TIntDoubleMap) - Static method in class org.wikibrain.sr.utils.SimUtils
Normalize a vector to unit length.
normalizeVector(TIntFloatMap) - Static method in class org.wikibrain.sr.utils.SimUtils
Normalize a vector to unit length.
numDocs() - Method in class org.wikibrain.sr.SRResultList
Returns the specified number of docs in this list.
numObservations - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 

O

observationsFinished() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
observationsFinished() - Method in class org.wikibrain.sr.normalize.IdentityNormalizer
 
observationsFinished() - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
observationsFinished() - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
observationsFinished() - Method in interface org.wikibrain.sr.normalize.Normalizer
 
observationsFinished() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer
 
observationsFinished() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
observe(double) - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
observe(SRResultList, int, double) - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
observe(double, double) - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
observe(double) - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
observe(double, double) - Method in class org.wikibrain.sr.normalize.IdentityNormalizer
 
observe(double) - Method in class org.wikibrain.sr.normalize.IdentityNormalizer
 
observe(double, double) - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
observe(SRResultList, int, double) - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
observe(double, double) - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
observe(double) - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
observe(SRResultList, int, double) - Method in interface org.wikibrain.sr.normalize.Normalizer
 
observe(double, double) - Method in interface org.wikibrain.sr.normalize.Normalizer
 
observe(double) - Method in interface org.wikibrain.sr.normalize.Normalizer
 
observe(SRResultList, int, double) - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
observeRetrieved(double) - Method in class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
org.wikibrain.sr - package org.wikibrain.sr
 
org.wikibrain.sr.category - package org.wikibrain.sr.category
 
org.wikibrain.sr.dataset - package org.wikibrain.sr.dataset
 
org.wikibrain.sr.disambig - package org.wikibrain.sr.disambig
 
org.wikibrain.sr.ensemble - package org.wikibrain.sr.ensemble
 
org.wikibrain.sr.esa - package org.wikibrain.sr.esa
 
org.wikibrain.sr.evaluation - package org.wikibrain.sr.evaluation
 
org.wikibrain.sr.milnewitten - package org.wikibrain.sr.milnewitten
 
org.wikibrain.sr.normalize - package org.wikibrain.sr.normalize
 
org.wikibrain.sr.utils - package org.wikibrain.sr.utils
 
org.wikibrain.sr.vector - package org.wikibrain.sr.vector
 
org.wikibrain.sr.wikify - package org.wikibrain.sr.wikify
 
org.wikibrain.sr.word2vec - package org.wikibrain.sr.word2vec
 

P

parseDate(String) - Static method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
PATTERN_ID - Static variable in class org.wikibrain.sr.word2vec.Word2VecUtils
 
PercentileNormalizer - Class in org.wikibrain.sr.normalize
This class is called percentile normalizer, but it returns normalized values in [0,1].
PercentileNormalizer() - Constructor for class org.wikibrain.sr.normalize.PercentileNormalizer
 
PercentileNormalizer.Provider - Class in org.wikibrain.sr.normalize
 
PercentileNormalizer.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.normalize.PercentileNormalizer.Provider
 
phrase1 - Variable in class org.wikibrain.sr.utils.KnownSim
 
phrase2 - Variable in class org.wikibrain.sr.utils.KnownSim
 
phraseAnalyzer - Variable in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
PhraseVectorCreator - Class in org.wikibrain.sr.vector
Config looks like: { weights: { dab : 1.0 sr : 1.0 text : 1.0 } numCandidates : { sr : 10 perSr : 2 text : 50 used : 20 } } A detailed description appears in the reference.conf
PhraseVectorCreator(LuceneSearcher) - Constructor for class org.wikibrain.sr.vector.PhraseVectorCreator
 
PhraseVectorCreator.Provider - Class in org.wikibrain.sr.vector
 
PhraseVectorCreator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.PhraseVectorCreator.Provider
 
PrecisionRecallAccumulator - Class in org.wikibrain.sr.evaluation
 
PrecisionRecallAccumulator(int, double) - Constructor for class org.wikibrain.sr.evaluation.PrecisionRecallAccumulator
 
predictMostSimilar(List<SRResultList>, int) - Method in interface org.wikibrain.sr.ensemble.Ensemble
 
predictMostSimilar(List<SRResultList>, int) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble
 
predictMostSimilar(List<SRResultList>, int) - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
predictSimilarity(List<SRResult>) - Method in interface org.wikibrain.sr.ensemble.Ensemble
 
predictSimilarity(List<SRResult>) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble
 
predictSimilarity(List<SRResult>) - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
PretrainedSRFactory - Class in org.wikibrain.sr.evaluation
A factory that uses a pretrained metric.
PretrainedSRFactory(SRMetric) - Constructor for class org.wikibrain.sr.evaluation.PretrainedSRFactory
 
PretrainedSRFactory.PretrainedMetric - Class in org.wikibrain.sr.evaluation
 
PretrainedSRFactory.PretrainedMetric(SRMetric) - Constructor for class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
print() - Method in class org.wikibrain.sr.utils.Leaderboard
 
prune(double, double) - Method in class org.wikibrain.sr.dataset.Dataset
 
pruneSimilar(WikiBrainScoreDoc[]) - Static method in class org.wikibrain.sr.utils.SimUtils
Prune a WikiBrainScoreDoc array.
pruneSmallLists(int) - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
Returns a new dataset that only contains phrases with at least n KnownSim entries.

Q

QualitativeAnalyzer - Class in org.wikibrain.sr.evaluation
 
QualitativeAnalyzer(Env) - Constructor for class org.wikibrain.sr.evaluation.QualitativeAnalyzer
 

R

random - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
RangeNormalizer - Class in org.wikibrain.sr.normalize
Normalizes values to fall within a particular range.
RangeNormalizer() - Constructor for class org.wikibrain.sr.normalize.RangeNormalizer
 
RangeNormalizer(double, double, boolean) - Constructor for class org.wikibrain.sr.normalize.RangeNormalizer
 
RangeNormalizer.Provider - Class in org.wikibrain.sr.normalize
 
RangeNormalizer.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.normalize.RangeNormalizer.Provider
 
rank - Variable in class org.wikibrain.sr.evaluation.MostSimilarGuess.Observation
 
RankAndScoreNormalizer - Class in org.wikibrain.sr.normalize
 
RankAndScoreNormalizer() - Constructor for class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
RankAndScoreNormalizer.Provider - Class in org.wikibrain.sr.normalize
 
RankAndScoreNormalizer.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.normalize.RankAndScoreNormalizer.Provider
 
read() - Method in class org.wikibrain.sr.BaseSRMetric
 
read(Language, File) - Method in class org.wikibrain.sr.dataset.DatasetDao
Reads a dataset from the classpath with a particular name.
read(String, Language, BufferedReader) - Method in class org.wikibrain.sr.dataset.DatasetDao
Reads a dataset from a buffered reader.
read(String) - Method in interface org.wikibrain.sr.ensemble.Ensemble
 
read() - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
read(String) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble
 
read(String) - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
read(File) - Static method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
read() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
read(File) - Static method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
Reads in the similarity evaluation at a particular path.
read() - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
read() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
read() - Method in interface org.wikibrain.sr.SRMetric
Reads the metric from the current data directory.
read(File) - Method in class org.wikibrain.sr.utils.SrNormalizers
Reads the noramlizers from disk.
read() - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
read(File) - Method in class org.wikibrain.sr.word2vec.Word2VecGenerator
 
readInfos() - Static method in class org.wikibrain.sr.dataset.DatasetDao
Read the embedded info.tsv file in the classpath.
readInfos(BufferedReader) - Static method in class org.wikibrain.sr.dataset.DatasetDao
Returns information about datasets in a reader.
readWords(File) - Method in class org.wikibrain.sr.word2vec.Word2VecTrainer
 
record(KnownMostSim, SRResultList) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
record(KnownMostSim, MostSimilarGuess) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
record(KnownSim, SRResult) - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
recordFailed(KnownMostSim) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
recordFailed(KnownSim) - Method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
remove() - Method in class org.wikibrain.sr.wikify.WikiTextCorpusCreator.RawPageTextIterator
 
reset() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
reset() - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
reset() - Method in class org.wikibrain.sr.normalize.LogNormalizer
 
reset() - Method in interface org.wikibrain.sr.normalize.Normalizer
 
reset() - Method in class org.wikibrain.sr.normalize.PercentileNormalizer
 
reset() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
RESOURCE_DATASET_INFO - Static variable in class org.wikibrain.sr.dataset.DatasetDao
 
RESOURCE_DATSET - Static variable in class org.wikibrain.sr.dataset.DatasetDao
 

S

sample - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
SAMPLE_SIZE - Static variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
save(File) - Method in class org.wikibrain.sr.word2vec.Word2VecTrainer
 
score - Variable in class org.wikibrain.sr.SRResult
 
serialVersionUID - Static variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
serialVersionUID - Static variable in class org.wikibrain.sr.normalize.LoessNormalizer
 
set(int, int, double) - Method in class org.wikibrain.sr.SRResultList
Sets the ID and score of the SRResult at the index.
set(int, SRResult) - Method in class org.wikibrain.sr.SRResultList
Sets the SRResut at the index to the new SRResult.
set(int, int, double, List<Explanation>) - Method in class org.wikibrain.sr.SRResultList
Sets the ID, score, and explanations of the SRResult at the index.
setActualRank(double) - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
setAnchortext(String) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setBuildCosimilarity(boolean) - Method in class org.wikibrain.sr.SRBuilder
 
setBuildCosimilarityMatrix(boolean) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
setBuildMostSimilarCache(boolean) - Method in class org.wikibrain.sr.BaseSRMetric
 
setColIds(TIntSet) - Method in class org.wikibrain.sr.SRBuilder
 
setColIdsFromFile(String) - Method in class org.wikibrain.sr.SRBuilder
 
setConcepts(File) - Method in class org.wikibrain.sr.vector.ESAGenerator
 
setConcepts(File) - Method in class org.wikibrain.sr.vector.MostSimilarConceptsGenerator
 
setConfig(String, String) - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
setCriteria(SimilarityDisambiguator.Criteria) - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
setDabWeight(double) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setDataDir(File) - Method in class org.wikibrain.sr.BaseSRMetric
 
setDataDir(File) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
setDataDir(File) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
setDataDir(File) - Method in interface org.wikibrain.sr.SRMetric
Sets the data directory associated with the model.
setDatasetNames(List<String>) - Method in class org.wikibrain.sr.SRBuilder
 
setDeleteExistingData(boolean) - Method in class org.wikibrain.sr.SRBuilder
 
setDest(Integer) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setDisambiguator(Disambiguator) - Method in class org.wikibrain.sr.dataset.DatasetDao
Sets the internal disambiguator AND marks resolve phrases to true.
setEndChar(int) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setExplanations(List<Explanation>) - Method in class org.wikibrain.sr.SRResult
 
setFeatureFilter(FeatureFilter) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
setFormat(String) - Method in class org.wikibrain.sr.Explanation
 
setGroups(Map<String, List<String>>) - Method in class org.wikibrain.sr.dataset.DatasetDao
 
setId(int) - Method in class org.wikibrain.sr.SRResult
 
setInformation(List<Object>) - Method in class org.wikibrain.sr.Explanation
 
setJoinPhrases(boolean) - Method in class org.wikibrain.sr.wikify.BaseCorpusCreator
 
setKnownDest(Integer) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setLanguage(Language) - Method in class org.wikibrain.sr.SRBuilder
 
setLinkProbability(double) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setLogTransform(boolean) - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
setLogTransform(boolean) - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
setLogTransform(boolean) - Method in class org.wikibrain.sr.vector.LinkGenerator
 
setMatrices(SparseMatrix, SparseMatrix, File) - Method in class org.wikibrain.sr.vector.CosineSimilarity
 
setMatrices(SparseMatrix, SparseMatrix, File) - Method in class org.wikibrain.sr.vector.GoogleSimilarity
 
setMatrices(SparseMatrix, SparseMatrix, File) - Method in interface org.wikibrain.sr.vector.VectorSimilarity
Sets the matrix capturing features and transposes.
setMaxConcepts(int) - Method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
 
setMaxPages(int) - Method in class org.wikibrain.sr.wikify.WikiTextCorpusCreator
 
setMaxResults(int) - Method in class org.wikibrain.sr.SRBuilder
 
setMetric(VectorBasedSRMetric) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
Set metric must be called before this component can be used.
setMissingRank(int) - Method in class org.wikibrain.sr.SRResultList
 
setMissingScore(double) - Method in class org.wikibrain.sr.SRResultList
Sets the estimated similarity score for missing documents
setMode(SRBuilder.Mode) - Method in class org.wikibrain.sr.SRBuilder
 
setMonotonic(boolean) - Method in class org.wikibrain.sr.normalize.LoessNormalizer
 
setMostSimilarCacheRowIds(TIntSet) - Method in class org.wikibrain.sr.BaseSRMetric
 
setMostSimilarIds(TIntHashSet) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
setMostSimilarNormalizer(Normalizer) - Method in class org.wikibrain.sr.BaseSRMetric
 
setMostSimilarNormalizer(Normalizer) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
setMostSimilarNormalizer(Normalizer) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
setMostSimilarNormalizer(Normalizer) - Method in interface org.wikibrain.sr.SRMetric
Sets the most similar normalizer
setMostSimilarNormalizer(Normalizer) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
setNormalize(boolean) - Method in class org.wikibrain.sr.dataset.DatasetDao
If true, all datasets will be "normalized" to [0,1] scores.
setNumCandidates(int) - Method in class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
setNumDabCands(int) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setNumMostSimilarResults(int) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
setNumPerSrCand(int) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setNumSrCands(int) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setNumTextCands(int) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setNumUsedCands(int) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setPhraseMode(FancyPhraseVectorBasedSRMetric.PhraseMode) - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric
 
setPrecisionRecallRanks(int[]) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
setPrecisionRecallRanks(int[]) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluator
 
setPredictedRank(double) - Method in class org.wikibrain.sr.evaluation.KnownSimGuess
 
setPrior(PrunedCounts<Integer>) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setRanks(List<KnownSimGuess>) - Static method in class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
setReadNormalizers(boolean) - Method in class org.wikibrain.sr.BaseSRMetric
 
setRelevanceThreshold(double) - Method in class org.wikibrain.sr.evaluation.MostSimilarEvaluationLog
 
setResolvePhrases(boolean) - Method in class org.wikibrain.sr.dataset.DatasetDao
 
setResolvePhrases(boolean) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
setResolvePhrases(boolean) - Method in class org.wikibrain.sr.evaluation.Evaluator
 
setRowIds(TIntSet) - Method in class org.wikibrain.sr.SRBuilder
 
setRowIdsFromFile(String) - Method in class org.wikibrain.sr.SRBuilder
 
setScore(double) - Method in class org.wikibrain.sr.SRResult
 
setScore(Double) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setScores(List<Double>) - Method in class org.wikibrain.sr.ensemble.EnsembleSim
 
setScores(Scoreboard<Integer>) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setSimilarityNormalizer(Normalizer) - Method in class org.wikibrain.sr.BaseSRMetric
 
setSimilarityNormalizer(Normalizer) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
setSimilarityNormalizer(Normalizer) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
setSimilarityNormalizer(Normalizer) - Method in interface org.wikibrain.sr.SRMetric
Sets the similarity normalizer.
setSimilarityNormalizer(Normalizer) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
setSkipBuiltMetrics(boolean) - Method in class org.wikibrain.sr.SRBuilder
 
setSrWeight(double) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setStartChar(int) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
setTextWeight(double) - Method in class org.wikibrain.sr.vector.PhraseVectorCreator
 
setTrainSubmetrics(boolean) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
setTrainSubmetrics(boolean) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
setValidMostSimilarIds(TIntSet) - Method in class org.wikibrain.sr.SRBuilder
 
setWeightByPopularity(boolean) - Method in class org.wikibrain.sr.vector.LinkGenerator
 
setWriteToStdout(boolean) - Method in class org.wikibrain.sr.evaluation.Evaluator
 
shouldResolvePhrases() - Method in class org.wikibrain.sr.evaluation.Evaluator
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.BaseSRMetric
 
similarity(String, String, boolean) - Method in class org.wikibrain.sr.BaseSRMetric
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.category.CategoryGraphSimilarity
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
similarity(String, String, boolean) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
similarity(String, String, boolean) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
similarity(String, String, boolean) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
similarity(int, int, boolean) - Method in interface org.wikibrain.sr.SRMetric
Determine the similarity between two local pages.
similarity(String, String, boolean) - Method in interface org.wikibrain.sr.SRMetric
Determine the similarity between two strings in a given language by mapping through local pages.
similarity - Variable in class org.wikibrain.sr.utils.KnownSim
 
similarity(MatrixRow, MatrixRow) - Method in class org.wikibrain.sr.vector.CosineSimilarity
 
similarity(TIntFloatMap, TIntFloatMap) - Method in class org.wikibrain.sr.vector.CosineSimilarity
 
similarity(String, String, boolean) - Method in class org.wikibrain.sr.vector.FancyPhraseVectorBasedSRMetric
 
similarity(TIntFloatMap, TIntFloatMap) - Method in class org.wikibrain.sr.vector.GoogleSimilarity
 
similarity(MatrixRow, MatrixRow) - Method in class org.wikibrain.sr.vector.GoogleSimilarity
 
similarity - Variable in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
similarity(String, String, boolean) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
similarity(int, int, boolean) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
similarity(MatrixRow, MatrixRow) - Method in interface org.wikibrain.sr.vector.VectorSimilarity
Returns the similarity of the two vectors.
similarity(TIntFloatMap, TIntFloatMap) - Method in interface org.wikibrain.sr.vector.VectorSimilarity
Computes the similarity between the two vectors.
SIMILARITY_NORMALIZER - Static variable in class org.wikibrain.sr.utils.SrNormalizers
 
SimilarityDisambiguator - Class in org.wikibrain.sr.disambig
 
SimilarityDisambiguator(PhraseAnalyzer, SRMetric) - Constructor for class org.wikibrain.sr.disambig.SimilarityDisambiguator
 
SimilarityDisambiguator.Criteria - Enum in org.wikibrain.sr.disambig
Algorithms for disambiguating similar phrases
SimilarityDisambiguator.Provider - Class in org.wikibrain.sr.disambig
 
SimilarityDisambiguator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.disambig.SimilarityDisambiguator.Provider
 
SimilarityEvaluationLog - Class in org.wikibrain.sr.evaluation
A class that accumulates similarity() evaluation metrics.
SimilarityEvaluationLog() - Constructor for class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
SimilarityEvaluationLog(File) - Constructor for class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
SimilarityEvaluationLog(Map<String, String>, File) - Constructor for class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
SimilarityEvaluationLog(Map<String, String>, File, Date) - Constructor for class org.wikibrain.sr.evaluation.SimilarityEvaluationLog
 
SimilarityEvaluator - Class in org.wikibrain.sr.evaluation
 
SimilarityEvaluator(File) - Constructor for class org.wikibrain.sr.evaluation.SimilarityEvaluator
 
similarityIsTrained() - Method in class org.wikibrain.sr.BaseSRMetric
 
similarityIsTrained() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
similarityIsTrained() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
similarityIsTrained() - Method in interface org.wikibrain.sr.SRMetric
 
SimpleMilneWitten - Class in org.wikibrain.sr.milnewitten
 
SimpleMilneWitten(String, Language, LocalPageDao, LocalLinkDao, AnchorTextPhraseAnalyzer) - Constructor for class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
SimpleMilneWitten.Provider - Class in org.wikibrain.sr.milnewitten
 
SimpleMilneWitten.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.milnewitten.SimpleMilneWitten.Provider
 
SimUtils - Class in org.wikibrain.sr.utils
 
SimUtils() - Constructor for class org.wikibrain.sr.utils.SimUtils
 
sortAscending() - Method in class org.wikibrain.sr.SRResultList
Sorts the SRResults in this list in ascending order.
sortById() - Method in class org.wikibrain.sr.SRResultList
Sorts by id, ascending.
sortByValue(TIntDoubleHashMap) - Static method in class org.wikibrain.sr.utils.SimUtils
 
sortDescending() - Method in class org.wikibrain.sr.SRResultList
Sorts the SRResults in this list in descending order.
split(int) - Method in class org.wikibrain.sr.dataset.Dataset
Shuffles a dataset and splits it into k equally sized subsets, and returns them all
split(int) - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
Returns a list of suitable test cross-validation sets.
Split - Class in org.wikibrain.sr.evaluation
A single train / test split.
Split(String, String, Dataset, Dataset) - Constructor for class org.wikibrain.sr.evaluation.Split
 
splitIntoDatasets(int) - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
 
SRBuilder - Class in org.wikibrain.sr
A "script" to build the semantic relatedness models.
SRBuilder(Env, String) - Constructor for class org.wikibrain.sr.SRBuilder
 
SRBuilder.Mode - Enum in org.wikibrain.sr
 
SRConceptSpaceGenerator - Class in org.wikibrain.sr.esa
 
SRConceptSpaceGenerator(Language, LocalLinkDao, LocalPageDao) - Constructor for class org.wikibrain.sr.esa.SRConceptSpaceGenerator
 
SRMetric - Interface in org.wikibrain.sr
A monolingual SR metric supports SR operations in a single language.
SrNormalizers - Class in org.wikibrain.sr.utils
A pair of normalizers (similarity, mostSimilar) persisted to disk.
SrNormalizers() - Constructor for class org.wikibrain.sr.utils.SrNormalizers
 
SRResult - Class in org.wikibrain.sr
This class describes a result of a semantic relatedness calculation.
SRResult() - Constructor for class org.wikibrain.sr.SRResult
Constructs a default SRResult that has no useful information.
SRResult(double) - Constructor for class org.wikibrain.sr.SRResult
Constructs an SRResult that stores only a score.
SRResult(int, double) - Constructor for class org.wikibrain.sr.SRResult
Constructs an SRResult with an ID, score, and empty explanations.
SRResult(int, double, List<Explanation>) - Constructor for class org.wikibrain.sr.SRResult
Constructs an SRResult with an ID, score, and explanations.
SRResultList - Class in org.wikibrain.sr
 
SRResultList(int) - Constructor for class org.wikibrain.sr.SRResultList
 
startDate - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
stats - Variable in class org.wikibrain.sr.normalize.BaseNormalizer
 
sucessful - Variable in class org.wikibrain.sr.evaluation.BaseEvaluationLog
 
summarize(File) - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Writes a summary of the results to the file.
summarize() - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Writes a summary of the results to stdout.
summarize(PrintStream) - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Writes a summary of the results to a printstream (probably System.out or System.in).
summarize(BufferedWriter) - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Writes a summary of the results to the writer.
summarize(Language, File) - Method in class org.wikibrain.sr.MatrixSummarizer
 
summarize(Language, SparseMatrix) - Method in class org.wikibrain.sr.MatrixSummarizer
 

T

tallyScore(int, double) - Method in class org.wikibrain.sr.utils.Leaderboard
 
Tester - Class in org.wikibrain.sr.wikify
 
Tester() - Constructor for class org.wikibrain.sr.wikify.Tester
 
testWikify() - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier
 
toDataset() - Method in class org.wikibrain.sr.evaluation.MostSimilarDataset
Converts the most similar dataset back to a "normal" dataset.
toLocalLink(Language, int) - Method in class org.wikibrain.sr.wikify.LinkInfo
 
TopResultConsensusDisambiguator - Class in org.wikibrain.sr.disambig
 
TopResultConsensusDisambiguator(List<PhraseAnalyzer>) - Constructor for class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator
 
TopResultConsensusDisambiguator.Provider - Class in org.wikibrain.sr.disambig
 
TopResultConsensusDisambiguator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.disambig.TopResultConsensusDisambiguator.Provider
 
TopResultDisambiguator - Class in org.wikibrain.sr.disambig
Resolves disambiguations by naively choosing the most common meaning of a phrase without regards to its context.
TopResultDisambiguator(PhraseAnalyzer) - Constructor for class org.wikibrain.sr.disambig.TopResultDisambiguator
 
TopResultDisambiguator.Provider - Class in org.wikibrain.sr.disambig
 
TopResultDisambiguator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.disambig.TopResultDisambiguator.Provider
 
toString() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess.Observation
 
toString() - Method in class org.wikibrain.sr.evaluation.MostSimilarGuess
 
toString() - Method in class org.wikibrain.sr.normalize.BaseNormalizer
 
toString() - Method in class org.wikibrain.sr.normalize.RankAndScoreNormalizer
 
toString() - Method in class org.wikibrain.sr.SRResult
 
toString() - Method in class org.wikibrain.sr.utils.KnownSim
 
train(File) - Method in class org.wikibrain.sr.word2vec.Word2VecTrainer
 
trainMostSimilar(Dataset, int, TIntSet) - Method in class org.wikibrain.sr.BaseSRMetric
 
trainMostSimilar(List<EnsembleSim>) - Method in interface org.wikibrain.sr.ensemble.Ensemble
 
trainMostSimilar(Dataset, int, TIntSet) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
Training cascades to base metrics.
trainMostSimilar(List<EnsembleSim>) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble
 
trainMostSimilar(List<EnsembleSim>) - Method in class org.wikibrain.sr.ensemble.Interpolator
TODO: train similarity should use mean, not min.
trainMostSimilar(List<EnsembleSim>) - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
trainMostSimilar(Dataset, int, TIntSet) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
trainMostSimilar(Dataset, int, TIntSet) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
trainMostSimilar(Dataset, int, TIntSet) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
trainMostSimilar(Dataset, int, TIntSet) - Method in interface org.wikibrain.sr.SRMetric
Train the mostSimilar() function The KnownSims may already be associated with Wikipedia ids (check wpId1 and wpId2).
trainMostSimilar(SRMetric, Disambiguator, Dataset, TIntSet, int) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
trainMostSimilar(Dataset, int, TIntSet) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
 
trainSimilarity(Dataset) - Method in class org.wikibrain.sr.BaseSRMetric
 
trainSimilarity(List<EnsembleSim>) - Method in interface org.wikibrain.sr.ensemble.Ensemble
 
trainSimilarity(Dataset) - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
Training cascades to base metrics.
trainSimilarity(List<EnsembleSim>) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble
 
trainSimilarity(List<EnsembleSim>) - Method in class org.wikibrain.sr.ensemble.Interpolator
calculate interpolated values for missing ranks and scores
trainSimilarity(List<EnsembleSim>) - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
trainSimilarity(Dataset) - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
trainSimilarity(Dataset) - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
trainSimilarity(Dataset) - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
trainSimilarity(Dataset) - Method in interface org.wikibrain.sr.SRMetric
Train the similarity() function.
trainSimilarity(SRMetric, Dataset) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
trainSimilarity(Dataset) - Method in class org.wikibrain.sr.vector.VectorBasedSRMetric
Train the similarity() function.
truncate - Variable in class org.wikibrain.sr.normalize.RangeNormalizer
 
truncate(int) - Method in class org.wikibrain.sr.SRResultList
Truncates the list to the specified size.

U

unnormalize(double) - Method in class org.wikibrain.sr.normalize.RangeNormalizer
 

V

valueOf(String) - Static method in enum org.wikibrain.sr.disambig.SimilarityDisambiguator.Criteria
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.wikibrain.sr.SRBuilder.Mode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.wikibrain.sr.vector.LinkGenerator.LinkType
Returns the enum constant of this type with the specified name.
values() - Static method in enum org.wikibrain.sr.disambig.SimilarityDisambiguator.Criteria
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.wikibrain.sr.SRBuilder.Mode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.wikibrain.sr.vector.LinkGenerator.LinkType
Returns an array containing the constants of this enum type, in the order they are declared.
VectorBasedSRMetric - Class in org.wikibrain.sr.vector
An SR metric that represents phrases and pages using sparse numeric vectors.
VectorBasedSRMetric(String, Language, LocalPageDao, Disambiguator, VectorGenerator, VectorSimilarity) - Constructor for class org.wikibrain.sr.vector.VectorBasedSRMetric
 
VectorBasedSRMetric.Provider - Class in org.wikibrain.sr.vector
 
VectorBasedSRMetric.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.vector.VectorBasedSRMetric.Provider
 
VectorGenerator - Interface in org.wikibrain.sr.vector
Generates sparse feature vectors for pages and phrases in some language.
VectorSimilarity - Interface in org.wikibrain.sr.vector
Computes the similarity between two vectors, and calculates the most similar items for a vector.

W

WebSailWikifier - Class in org.wikibrain.sr.wikify
Wikifier based on Doug Downey's approach described in http://web-ngram.research.microsoft.com/erd2014/Docs/submissions/erd14_submission_24.pdf
WebSailWikifier(Wikifier, RawPageDao, LocalLinkDao, LinkProbabilityDao, PhraseAnalyzerDao, SRMetric) - Constructor for class org.wikibrain.sr.wikify.WebSailWikifier
 
WebSailWikifier.Provider - Class in org.wikibrain.sr.wikify
 
WebSailWikifier.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.wikify.WebSailWikifier.Provider
 
Wikifier - Interface in org.wikibrain.sr.wikify
 
wikify(int) - Method in class org.wikibrain.sr.wikify.IdentityWikifier
 
wikify(int, String) - Method in class org.wikibrain.sr.wikify.IdentityWikifier
 
wikify(String) - Method in class org.wikibrain.sr.wikify.IdentityWikifier
 
wikify(int, String) - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier
 
wikify(int) - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier
 
wikify(String) - Method in class org.wikibrain.sr.wikify.MilneWittenWikifier
 
wikify(int, String) - Method in class org.wikibrain.sr.wikify.WebSailWikifier
 
wikify(int) - Method in class org.wikibrain.sr.wikify.WebSailWikifier
 
wikify(String) - Method in class org.wikibrain.sr.wikify.WebSailWikifier
 
wikify(int, String) - Method in interface org.wikibrain.sr.wikify.Wikifier
 
wikify(int) - Method in interface org.wikibrain.sr.wikify.Wikifier
 
wikify(String) - Method in interface org.wikibrain.sr.wikify.Wikifier
 
WikiTextCorpusCreator - Class in org.wikibrain.sr.wikify
 
WikiTextCorpusCreator(Language, Wikifier, RawPageDao, LocalPageDao, LinkProbabilityDao) - Constructor for class org.wikibrain.sr.wikify.WikiTextCorpusCreator
 
WikiTextCorpusCreator.RawPageTextIterator - Class in org.wikibrain.sr.wikify
 
WikiTextCorpusCreator.RawPageTextIterator(Iterator<RawPage>) - Constructor for class org.wikibrain.sr.wikify.WikiTextCorpusCreator.RawPageTextIterator
 
Word2Phrase - Class in org.wikibrain.sr.word2vec
Given a corpus of words and phrases, iteratively concatenates bigrams that are likely to be more meaningful together than apart.
Word2Phrase(Language, PhraseAnalyzerDao) - Constructor for class org.wikibrain.sr.word2vec.Word2Phrase
 
Word2VecGenerator - Class in org.wikibrain.sr.word2vec
Reads in a word2vec model in the "standard" file format.
Word2VecGenerator(Language, LocalPageDao, File) - Constructor for class org.wikibrain.sr.word2vec.Word2VecGenerator
 
Word2VecGenerator.Provider - Class in org.wikibrain.sr.word2vec
 
Word2VecGenerator.Provider(Configurator, Configuration) - Constructor for class org.wikibrain.sr.word2vec.Word2VecGenerator.Provider
 
Word2VecMetric - Class in org.wikibrain.sr.word2vec
 
Word2VecMetric(String, Language, LocalPageDao, Disambiguator, VectorGenerator, VectorSimilarity) - Constructor for class org.wikibrain.sr.word2vec.Word2VecMetric
 
Word2VecTrainer - Class in org.wikibrain.sr.word2vec
 
Word2VecTrainer(LocalPageDao, Language) - Constructor for class org.wikibrain.sr.word2vec.Word2VecTrainer
 
Word2VecUtils - Class in org.wikibrain.sr.word2vec
 
Word2VecUtils() - Constructor for class org.wikibrain.sr.word2vec.Word2VecUtils
 
wpId1 - Variable in class org.wikibrain.sr.utils.KnownSim
 
wpId2 - Variable in class org.wikibrain.sr.utils.KnownSim
 
write() - Method in class org.wikibrain.sr.BaseSRMetric
 
write(Dataset, File) - Method in class org.wikibrain.sr.dataset.DatasetDao
Writes a dataset out to a particular path
write(String) - Method in interface org.wikibrain.sr.ensemble.Ensemble
 
write() - Method in class org.wikibrain.sr.ensemble.EnsembleMetric
 
write(String) - Method in class org.wikibrain.sr.ensemble.EvenEnsemble
 
write(String) - Method in class org.wikibrain.sr.ensemble.LinearEnsemble
 
write(String) - Method in class org.wikibrain.sr.evaluation.BaseEvaluationLog
Writes a line, adds a newline, and flushes the log
write() - Method in class org.wikibrain.sr.evaluation.PretrainedSRFactory.PretrainedMetric
 
write() - Method in class org.wikibrain.sr.milnewitten.MilneWittenMetric
 
write() - Method in class org.wikibrain.sr.milnewitten.SimpleMilneWitten
 
write() - Method in interface org.wikibrain.sr.SRMetric
Writes the metric to the current data directory.
write(File) - Method in class org.wikibrain.sr.utils.SrNormalizers
 
write(File) - Method in class org.wikibrain.sr.wikify.BaseCorpusCreator
 
writeConcepts(File) - Method in class org.wikibrain.sr.esa.SRConceptSpaceGenerator
 
writeMostSimilarCache(int) - Method in class org.wikibrain.sr.BaseSRMetric
 
writeMostSimilarCache(int, TIntSet, TIntSet) - Method in class org.wikibrain.sr.BaseSRMetric
Creates and writes a sparse matrix that records the top-k results for every page.
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