This class implements the PL2 weighting scheme. More...

#include <weight.h>

Inheritance diagram for Xapian::PL2Weight:

Collaboration diagram for Xapian::PL2Weight:

Public Member Functions
	PL2Weight (double c)
	Construct a PL2Weight. More...

	PL2Weight ()

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...

PL2Weight *	unserialise (const std::string &serialised) const
	Unserialise parameters. More...

double	get_sumpart (Xapian::termcount wdf, Xapian::termcount doclen, Xapian::termcount uniqterms) 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
PL2Weight *	clone () const
	Clone this object. More...

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

Private Attributes
double	param_c
	The wdf normalization parameter in the formula. More...

double	lower_bound
	The factor to multiply weights by. More...

double	upper_bound
	The upper bound on the weight. More...

double	P1
	Constants for a given term in a given query. More...

double	P2

double	cl
	Set by init() to (param_c * get_average_length()) 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 database. More...

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

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

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

Detailed Description

This class implements the PL2 weighting scheme.

PL2 is a representative scheme of the Divergence from Randomness Framework by Gianni Amati.

This weighting scheme is useful for tasks that require early precision.

It uses the Poisson approximation of the Binomial Probabilistic distribution (P) along with Stirling's approximation for the factorial value, the Laplace method to find the aftereffect of sampling (L) and the second wdf normalization proposed by Amati to normalize the wdf in the document to the length of the document (H2).

For more information about the DFR Framework and the PL2 scheme, please refer to : Gianni Amati and Cornelis Joost Van Rijsbergen Probabilistic models of information retrieval based on measuring the divergence from randomness ACM Transactions on Information Systems (TOIS) 20, (4), 2002, pp. 357-389.

Definition at line 1185 of file weight.h.

Constructor & Destructor Documentation

◆ PL2Weight() [1/2]

Xapian::PL2Weight::PL2Weight ( double c )

explicit

Construct a PL2Weight.

Parameters

c A strictly positive parameter controlling the extent of the normalization of the wdf to the document length. The default value of 1 is suitable for longer queries but it may need to be changed for shorter queries. For more information, please refer to Gianni Amati's PHD thesis titled Probabilistic Models for Information Retrieval based on Divergence from Randomness.

Definition at line 37 of file pl2weight.cc.

References Xapian::Weight::AVERAGE_LENGTH, Xapian::Weight::COLLECTION_FREQ, Xapian::Weight::COLLECTION_SIZE, Xapian::Weight::DOC_LENGTH, Xapian::Weight::DOC_LENGTH_MAX, Xapian::Weight::DOC_LENGTH_MIN, Xapian::Weight::need_stat(), param_c, Xapian::Weight::WDF, Xapian::Weight::WDF_MAX, and Xapian::Weight::WQF.

◆ PL2Weight() [2/2]

Xapian::PL2Weight::PL2Weight ( )

inline

Definition at line 1224 of file weight.h.

References name.

Referenced by clone(), and unserialise().

Member Function Documentation

◆ clone()

PL2Weight * Xapian::PL2Weight::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 53 of file pl2weight.cc.

References param_c, and PL2Weight().

◆ get_maxextra()

double Xapian::PL2Weight::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 182 of file pl2weight.cc.

◆ get_maxpart()

double Xapian::PL2Weight::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 170 of file pl2weight.cc.

References upper_bound.

◆ get_sumextra()

double Xapian::PL2Weight::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 176 of file pl2weight.cc.

◆ get_sumpart()

double Xapian::PL2Weight::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 155 of file pl2weight.cc.

References cl, log2(), lower_bound, P1, P2, and rare.

◆ init()

void Xapian::PL2Weight::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 59 of file pl2weight.cc.

References cl, Xapian::Weight::get_average_length(), Xapian::Weight::get_collection_freq(), Xapian::Weight::get_collection_size(), Xapian::Weight::get_doclength_lower_bound(), Xapian::Weight::get_doclength_upper_bound(), Xapian::Weight::get_wdf_upper_bound(), Xapian::Weight::get_wqf(), log2(), lower_bound, P1, P2, param_c, rare, and upper_bound.

◆ name()

string Xapian::PL2Weight::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 132 of file pl2weight.cc.

Referenced by DEFINE_TESTCASE().

◆ serialise()

string Xapian::PL2Weight::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 138 of file pl2weight.cc.

References param_c, and serialise_double().

Referenced by DEFINE_TESTCASE().

◆ unserialise()

PL2Weight * Xapian::PL2Weight::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 144 of file pl2weight.cc.

References PL2Weight(), rare, and unserialise_double().

Referenced by DEFINE_TESTCASE().

Member Data Documentation

◆ cl

double Xapian::PL2Weight::cl

private

Set by init() to (param_c * get_average_length())

Definition at line 1205 of file weight.h.

Referenced by get_sumpart(), and init().

◆ lower_bound

double Xapian::PL2Weight::lower_bound

private

The factor to multiply weights by.

The misleading name is due to this having been used to store a lower bound in 1.4.0. We no longer need to store that, and so this member has been repurposed in 1.4.1 and later (but the name left the same to ensure ABI compatibility with 1.4.0).

Definition at line 1196 of file weight.h.

Referenced by get_sumpart(), and init().

◆ P1

double Xapian::PL2Weight::P1

private

Constants for a given term in a given query.

Definition at line 1202 of file weight.h.

Referenced by get_sumpart(), and init().

◆ P2

double Xapian::PL2Weight::P2

private

Definition at line 1202 of file weight.h.

Referenced by get_sumpart(), and init().

◆ param_c

double Xapian::PL2Weight::param_c

private

The wdf normalization parameter in the formula.

Definition at line 1187 of file weight.h.

Referenced by clone(), init(), PL2Weight(), and serialise().

◆ upper_bound

double Xapian::PL2Weight::upper_bound

private

The upper bound on the weight.

Definition at line 1199 of file weight.h.

Referenced by get_maxpart(), and init().

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

include/xapian/weight.h
weight/pl2weight.cc

Public Member Functions

Private Member Functions

Private Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

◆ PL2Weight() [1/2]

◆ PL2Weight() [2/2]

Member Function Documentation

◆ clone()

◆ get_maxextra()

◆ get_maxpart()

◆ get_sumextra()

◆ get_sumpart()

◆ init()

◆ name()

◆ serialise()

◆ unserialise()

Member Data Documentation

◆ cl

◆ lower_bound

◆ P1

◆ P2

◆ param_c

◆ upper_bound