Xapian::Weight subclass implementing the traditional probabilistic formula. More...

#include <weight.h>

Inheritance diagram for Xapian::TradWeight:

Collaboration diagram for Xapian::TradWeight:

Public Member Functions
	TradWeight (double k=1.0)
	Construct a TradWeight. More...

std::string	name () const
	Return the name of this weighting scheme. More...

std::string	serialise () const
	Return this object's parameters serialised as a single string. More...

TradWeight *	unserialise (const std::string &serialised) const
	Unserialise parameters. More...

double	get_sumpart (Xapian::termcount wdf, Xapian::termcount doclen, Xapian::termcount uniqueterms) const
	Calculate the weight contribution for this object's term to a document. More...

double	get_maxpart () const
	Return an upper bound on what get_sumpart() can return for any document. More...

double	get_sumextra (Xapian::termcount doclen, Xapian::termcount uniqterms) const
	Calculate the term-independent weight component for a document. More...

double	get_maxextra () const
	Return an upper bound on what get_sumextra() can return for any document. More...

Public Member Functions inherited from Xapian::Weight
	Weight ()
	Default constructor, needed by subclass constructors. More...

virtual	~Weight ()
	Virtual destructor, because we have virtual methods. More...

Private Member Functions
TradWeight *	clone () const
	Clone this object. More...

void	init (double factor)
	Allow the subclass to perform any initialisation it needs to. More...

Private Attributes
Xapian::doclength	len_factor
	Factor to multiply the document length by. More...

double	termweight
	Factor combining all the document independent factors. More...

double	param_k
	The parameter in the formula. More...

Additional Inherited Members
Public Types inherited from Xapian::Weight
enum	type_smoothing { TWO_STAGE_SMOOTHING = 1, DIRICHLET_SMOOTHING = 2, ABSOLUTE_DISCOUNT_SMOOTHING = 3, JELINEK_MERCER_SMOOTHING = 4, DIRICHLET_PLUS_SMOOTHING = 5 }
	Type of smoothing to use with the Language Model Weighting scheme. More...

Protected Types inherited from Xapian::Weight
enum	stat_flags { COLLECTION_SIZE = 1, RSET_SIZE = 2, AVERAGE_LENGTH = 4, TERMFREQ = 8, RELTERMFREQ = 16, QUERY_LENGTH = 32, WQF = 64, WDF = 128, DOC_LENGTH = 256, DOC_LENGTH_MIN = 512, DOC_LENGTH_MAX = 1024, WDF_MAX = 2048, COLLECTION_FREQ = 4096, UNIQUE_TERMS = 8192, TOTAL_LENGTH = COLLECTION_SIZE \| AVERAGE_LENGTH }
	Stats which the weighting scheme can use (see need_stat()). More...

Protected Member Functions inherited from Xapian::Weight
void	need_stat (stat_flags flag)
	Tell Xapian that your subclass will want a particular statistic. More...

	Weight (const Weight &)
	Don't allow copying. More...

Xapian::doccount	get_collection_size () const
	The number of documents in the collection. More...

Xapian::doccount	get_rset_size () const
	The number of documents marked as relevant. More...

Xapian::doclength	get_average_length () const
	The average length of a document in the collection. More...

Xapian::doccount	get_termfreq () const
	The number of documents which this term indexes. More...

Xapian::doccount	get_reltermfreq () const
	The number of relevant documents which this term indexes. More...

Xapian::termcount	get_collection_freq () const
	The collection frequency of the term. More...

Xapian::termcount	get_query_length () const
	The length of the query. More...

Xapian::termcount	get_wqf () const
	The within-query-frequency of this term. More...

Xapian::termcount	get_doclength_upper_bound () const
	An upper bound on the maximum length of any document in the shard. More...

Xapian::termcount	get_doclength_lower_bound () const
	A lower bound on the minimum length of any document in the shard. More...

Xapian::termcount	get_wdf_upper_bound () const
	An upper bound on the wdf of this term in the shard. More...

Xapian::totallength	get_total_length () const
	Total length of all documents in the collection. More...

Detailed Description

Xapian::Weight subclass implementing the traditional probabilistic formula.

This class implements the "traditional" Probabilistic Weighting scheme, as described by the early papers on Probabilistic Retrieval. BM25 generally gives better results.

TradWeight(k) is equivalent to BM25Weight(k, 0, 0, 1, 0), except that the latter returns weights (k+1) times larger.

Definition at line 774 of file weight.h.

Constructor & Destructor Documentation

◆ TradWeight()

Xapian::TradWeight::TradWeight ( double k = 1.0 )

inlineexplicit

Construct a TradWeight.

Parameters

k	A non-negative parameter controlling how influential within-document-frequency (wdf) and document length are. k=0 means that wdf and document length don't affect the weights. The larger k is, the more they do. (default 1)

Definition at line 796 of file weight.h.

References name.

Member Function Documentation

◆ clone()

TradWeight * Xapian::TradWeight::clone ( ) const

privatevirtual

Clone this object.

This method allocates and returns a copy of the object it is called on.

If your subclass is called FooWeight and has parameters a and b, then you would implement FooWeight::clone() like so:

FooWeight * FooWeight::clone() const { return new FooWeight(a, b); }

Note that the returned object will be deallocated by Xapian after use with "delete". If you want to handle the deletion in a special way (for example when wrapping the Xapian API for use from another language) then you can define a static operator delete method in your subclass as shown here: https://trac.xapian.org/ticket/554#comment:1

Implements Xapian::Weight.

Definition at line 39 of file tradweight.cc.

◆ get_maxextra()

double Xapian::TradWeight::get_maxextra ( ) const

virtual

Return an upper bound on what get_sumextra() can return for any document.

This information is used by the matcher to perform various optimisations, so strive to make the bound as tight as possible.

Implements Xapian::Weight.

Definition at line 172 of file tradweight.cc.

◆ get_maxpart()

double Xapian::TradWeight::get_maxpart ( ) const

virtual

Return an upper bound on what get_sumpart() can return for any document.

This information is used by the matcher to perform various optimisations, so strive to make the bound as tight as possible.

Implements Xapian::Weight.

Definition at line 158 of file tradweight.cc.

◆ get_sumextra()

double Xapian::TradWeight::get_sumextra	(	Xapian::termcount	doclen,
		Xapian::termcount	uniqterms
	)		const

virtual

Calculate the term-independent weight component for a document.

The parameter gives information about the document which may be used in the calculations:

Parameters

doclen	The document's length (unnormalised).
uniqterms	The number of unique terms in the document.

Implements Xapian::Weight.

Definition at line 166 of file tradweight.cc.

◆ get_sumpart()

double Xapian::TradWeight::get_sumpart	(	Xapian::termcount	wdf,
		Xapian::termcount	doclen,
		Xapian::termcount	uniqterms
	)		const

virtual

Calculate the weight contribution for this object's term to a document.

The parameters give information about the document which may be used in the calculations:

Parameters

wdf	The within document frequency of the term in the document.
doclen	The document's length (unnormalised).
uniqterms	Number of unique terms in the document (used for absolute smoothing).

Implements Xapian::Weight.

Definition at line 150 of file tradweight.cc.

◆ init()

void Xapian::TradWeight::init ( double factor )

privatevirtual

Allow the subclass to perform any initialisation it needs to.

Parameters

factor Any scaling factor (e.g. from OP_SCALE_WEIGHT). If the Weight object is for the term-independent weight supplied by get_sumextra()/get_maxextra(), then init(0.0) is called (starting from Xapian 1.2.11 and 1.3.1 - earlier versions failed to call init() for such Weight objects).

Implements Xapian::Weight.

Definition at line 45 of file tradweight.cc.

References AssertRel, LOGVALUE, and rare.

◆ name()

string Xapian::TradWeight::name ( ) const

virtual

Return the name of this weighting scheme.

This name is used by the remote backend. It is passed along with the serialised parameters to the remote server so that it knows which class to create.

Return the full namespace-qualified name of your class here - if your class is called FooWeight, return "FooWeight" from this method (Xapian::BM25Weight returns "Xapian::BM25Weight" here).

If you don't want to support the remote backend, you can use the default implementation which simply returns an empty string.

Reimplemented from Xapian::Weight.

Definition at line 127 of file tradweight.cc.

◆ serialise()

string Xapian::TradWeight::serialise ( ) const

virtual

Return this object's parameters serialised as a single string.

If you don't want to support the remote backend, you can use the default implementation which simply throws Xapian::UnimplementedError.

Reimplemented from Xapian::Weight.

Definition at line 133 of file tradweight.cc.

References serialise_double().

◆ unserialise()

TradWeight * Xapian::TradWeight::unserialise ( const std::string & serialised ) const

virtual

Unserialise parameters.

This method unserialises parameters serialised by the serialise() method and allocates and returns a new object initialised with them.

If you don't want to support the remote backend, you can use the default implementation which simply throws Xapian::UnimplementedError.

Note that the returned object will be deallocated by Xapian after use with "delete". If you want to handle the deletion in a special way (for example when wrapping the Xapian API for use from another language) then you can define a static operator delete method in your subclass as shown here: https://trac.xapian.org/ticket/554#comment:1

Parameters

serialised A string containing the serialised parameters.

Reimplemented from Xapian::Weight.

Definition at line 139 of file tradweight.cc.

References rare, and unserialise_double().

Member Data Documentation

◆ len_factor

Xapian::doclength Xapian::TradWeight::len_factor

mutableprivate

Factor to multiply the document length by.

Definition at line 776 of file weight.h.

◆ param_k

double Xapian::TradWeight::param_k

private

The parameter in the formula.

Definition at line 782 of file weight.h.

◆ termweight

double Xapian::TradWeight::termweight

mutableprivate

Factor combining all the document independent factors.

Definition at line 779 of file weight.h.

The documentation for this class was generated from the following files:

include/xapian/weight.h
weight/tradweight.cc

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ TradWeight()

Member Function Documentation

◆ clone()

◆ get_maxextra()

◆ get_maxpart()

◆ get_sumextra()

◆ get_sumpart()

◆ init()

◆ name()

◆ serialise()

◆ unserialise()

Member Data Documentation

◆ len_factor

◆ param_k

◆ termweight