Terrier IR Platform
2.2.1
A B C D E F G H I J K L M N O P Q R S T U V W

N

n_t - Variable in class uk.ac.gla.terrier.structures.LexiconEntry
the number of document that this entry occurs in
name() - Method in interface uk.ac.gla.terrier.utility.io.FileSystem
returns a name for the filesystem
name() - Method in class uk.ac.gla.terrier.utility.io.HTTPFileSystem
return the name of the file system
name() - Method in class uk.ac.gla.terrier.utility.io.LocalFileSystem
 
NamedPageEvaluation - Class in uk.ac.gla.terrier.evaluation
Performs the evaluation for TREC's named/home page finding task.
NamedPageEvaluation() - Constructor for class uk.ac.gla.terrier.evaluation.NamedPageEvaluation
 
NAMESPACE_DOCUMENTS - Static variable in class uk.ac.gla.terrier.indexing.SimpleFileCollection
The default namespace for all parsers to be loaded from.
NAMESPACE_MATCHING - Static variable in class uk.ac.gla.terrier.querying.Manager
The default namespace for Matching models to be loaded from
NAMESPACE_PIPELINE - Static variable in class uk.ac.gla.terrier.querying.Manager
The default namespace for TermPipeline modules to be loaded from
NAMESPACE_POSTFILTER - Static variable in class uk.ac.gla.terrier.querying.Manager
The default namespace for PostFilters to be loaded from
NAMESPACE_POSTPROCESS - Static variable in class uk.ac.gla.terrier.querying.Manager
The default namespace for PostProcesses to be loaded from
NAMESPACE_QEMODEL - Static variable in class uk.ac.gla.terrier.querying.QueryExpansion
The default namespace of query expansion model classes.
NAMESPACE_WEIGHTING - Static variable in class uk.ac.gla.terrier.querying.Manager
The default namespace for Weighting models to be loaded from
new_query(Manager, SearchRequest, ResultSet) - Method in interface uk.ac.gla.terrier.querying.PostFilter
Called before the processing of a resultset using this PostFilter is applied.
newJob() - Method in class uk.ac.gla.terrier.utility.io.HadoopPlugin.JobFactory
Make a new job
newSearchRequest() - Method in class uk.ac.gla.terrier.querying.Manager
Ask for new SearchRequest object to be made.
newSearchRequest(String) - Method in class uk.ac.gla.terrier.querying.Manager
Ask for new SearchRequest object to be made.
newSearchRequest(String, String) - Method in class uk.ac.gla.terrier.querying.Manager
Ask for new SearchRequest object to be made, instantiated using the specified query id, and that the specified query should be parsed.
next() - Method in class uk.ac.gla.terrier.structures.indexing.singlepass.FileRunIterator
Move to the next posting in this run
next(Text, Wrapper<Document>) - Method in class uk.ac.gla.terrier.structures.indexing.singlepass.hadoop.CollectionRecordReader
Moves to the next Document in the Collections accessing this InputSplit if one exists, setting DocID to the property "DOCID" and Document to the text within the document.
next() - Method in class uk.ac.gla.terrier.structures.indexing.singlepass.hadoop.HadoopRunPostingIterator
Return the next PostingInRun
next() - Method in class uk.ac.gla.terrier.structures.indexing.singlepass.RunIterator
iterator implementation
nextBuffer() - Method in class uk.ac.gla.terrier.compression.MemoryLinkedOutputStream
Moves the pointer to the next buffer (reading)
nextDocument() - Method in interface uk.ac.gla.terrier.indexing.Collection
Move the collection to the start of the next document.
nextDocument() - Method in class uk.ac.gla.terrier.indexing.SimpleFileCollection
Move onto the next document in the collection to be processed.
nextDocument() - Method in class uk.ac.gla.terrier.indexing.SimpleXMLCollection
 
nextDocument() - Method in interface uk.ac.gla.terrier.indexing.Tokenizer
Proceed to process the next document.
nextDocument() - Method in class uk.ac.gla.terrier.indexing.TRECCollection
Moves to the next document to process from the collection.
nextDocument() - Method in class uk.ac.gla.terrier.indexing.TRECFullTokenizer
Proceed to the next document.
nextQuery() - Method in class uk.ac.gla.terrier.structures.TRECQuery
Returns a query.
nextToken() - Method in interface uk.ac.gla.terrier.indexing.Tokenizer
Returns the next token from the input stream used.
nextToken() - Method in class uk.ac.gla.terrier.indexing.TRECFullTokenizer
nextTermWithNumbers gives the first next string which is not a tag.
nextToken() - Method in class uk.ac.gla.terrier.indexing.TRECFullUTFTokenizer
nextTermWithNumbers gives the first next string which is not a tag.
nonRelDocnos - Variable in class uk.ac.gla.terrier.evaluation.TRECQrelsInMemory.QrelsHashSet
The ids of the pooled non-relevant documents.
NoOp - Class in uk.ac.gla.terrier.terms
A do-nothing term pipeline object.
NoOp(TermPipeline) - Constructor for class uk.ac.gla.terrier.terms.NoOp
Constructs an instance of the class, given the next component in the pipeline.
NORMAL_LOAD_FACTOR - Static variable in class uk.ac.gla.terrier.structures.InvertedIndex
This is used during retrieval for a rough guess sizing of the temporaryTerms arraylist in getDocuments().
Normalisation - Class in uk.ac.gla.terrier.matching.models.normalisation
This class provides a contract for implementing frequency normalisation methods.
Normalisation() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation
The default constructor.
Normalisation(double) - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation
The constructor that specifies the parameter value.
Normalisation0 - Class in uk.ac.gla.terrier.matching.models.normalisation
This class implements an empty normalisation.
Normalisation0() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation0
 
Normalisation2 - Class in uk.ac.gla.terrier.matching.models.normalisation
This class implements the DFR normalisation 2.
Normalisation2() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation2
The default constructor.
Normalisation2exp - Class in uk.ac.gla.terrier.matching.models.normalisation
This class implements the DFR normalisation 2 with natural logorithm.
Normalisation2exp() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation2exp
The default constructor.
Normalisation3 - Class in uk.ac.gla.terrier.matching.models.normalisation
This class implements the Dirichlet Priors normalisation.
Normalisation3() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation3
The default constructor.
Normalisation3(double) - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.Normalisation3
The constructor that also sets the parameter mu of the Dirichlet Normalisation.
NormalisationB - Class in uk.ac.gla.terrier.matching.models.normalisation
This class implements BM25's normalisation method.
NormalisationB() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.NormalisationB
The default constructor.
NormalisationStatic - Class in uk.ac.gla.terrier.matching.models.normalisation
This class implements a Normalisation method that forces all term frequencies to the value of the parameter.
NormalisationStatic() - Constructor for class uk.ac.gla.terrier.matching.models.normalisation.NormalisationStatic
 
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.Normalisation
This method provides the contract for implementing the frequency normalisation formula.
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.Normalisation0
This method returns the original term frequency.
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.Normalisation2
This method gets the normalised term frequency.
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.Normalisation2exp
This method gets the normalised term frequency.
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.Normalisation3
This method gets the normalised term frequency.
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.NormalisationB
This method gets the normalised term frequency.
normalise(double, double, double) - Method in class uk.ac.gla.terrier.matching.models.normalisation.NormalisationStatic
Returns a static term frequency.
normaliseEncoding(String) - Static method in class uk.ac.gla.terrier.utility.StringTools
Normalises several common encodings found, for instance in HTTP or HTML headers, into the compatible Java encoding
normaliser - Variable in class uk.ac.gla.terrier.structures.ExpansionTerms
The parameter-free term weight normaliser.
normaliseTermWeights() - Method in class uk.ac.gla.terrier.matching.MatchingQueryTerms
This method normalises the term weights by dividing each term weight by the maximum of the terms.
NorwegianSnowballStemmer - Class in uk.ac.gla.terrier.terms
Norwegian stemmer implmented by Snowball.
NorwegianSnowballStemmer(TermPipeline) - Constructor for class uk.ac.gla.terrier.terms.NorwegianSnowballStemmer
 
number_of_terms - Variable in class uk.ac.gla.terrier.indexing.TRECFullTokenizer
A counter for the number of terms.
numberOfDocuments - Variable in class uk.ac.gla.terrier.structures.indexing.InvertedIndexBuilder
The number of documents in the collection.
numberOfEntries(File) - Static method in class uk.ac.gla.terrier.structures.BlockLexicon
 
numberOfEntries(String) - Static method in class uk.ac.gla.terrier.structures.BlockLexicon
 
numberOfEntries() - Method in class uk.ac.gla.terrier.structures.BlockLexiconInputStream
Returns the number of entries in the lexicon file.
numberOfEntries(File) - Static method in class uk.ac.gla.terrier.structures.Lexicon
Returns the number of entries in the lexicon file specified by f.
numberOfEntries(String) - Static method in class uk.ac.gla.terrier.structures.Lexicon
Returns the number of entries in the lexicon file specified by filename.
numberOfEntries() - Method in class uk.ac.gla.terrier.structures.LexiconInputStream
Returns the number of entries in the lexicon file.
numberOfEntries(File) - Static method in class uk.ac.gla.terrier.structures.UTFBlockLexicon
returns the number of entries in the lexicon named by f
numberOfEntries(String) - Static method in class uk.ac.gla.terrier.structures.UTFBlockLexicon
returns the number of entries in the lexicon named by filename
numberOfEntries() - Method in class uk.ac.gla.terrier.structures.UTFBlockLexiconInputStream
Returns the number of entries in the lexicon file.
numberOfEntries(File) - Static method in class uk.ac.gla.terrier.structures.UTFLexicon
 
numberOfEntries(String) - Static method in class uk.ac.gla.terrier.structures.UTFLexicon
 
numberOfEntries() - Method in class uk.ac.gla.terrier.structures.UTFLexiconInputStream
Returns the number of entries in the lexicon file.
numberOfPointers - Variable in class uk.ac.gla.terrier.structures.indexing.InvertedIndexBuilder
The number of pointers in the inverted file.
numberOfTokens - Variable in class uk.ac.gla.terrier.structures.indexing.InvertedIndexBuilder
The number of tokens in the collection.
numberOfUniqueTerms - Variable in class uk.ac.gla.terrier.structures.indexing.InvertedIndexBuilder
The number of unique terms in the vocabulary.

Terrier IR Platform
2.2.1
A B C D E F G H I J K L M N O P Q R S T U V W
Terrier Information Retrieval Platform 2.2.1. Copyright 2004-2008 University of Glasgow