Reimplement Language Modelling weights
[xapian.git] / xapian-core / weight / ifb2weight.cc
blob259583e66438bed03591631f3d5f1e4aa4446fa4
1 /** @file
2 * @brief Xapian::IfB2Weight class - the IfB2 weighting scheme of the DFR framework.
3 */
4 /* Copyright (C) 2013,2014 Aarsh Shah
6 * This program is free software; you can redistribute it and/or
7 * modify it under the terms of the GNU General Public License as
8 * published by the Free Software Foundation; either version 2 of the
9 * License, or (at your option) any later version.
11 * This program is distributed in the hope that it will be useful
12 * but WITHOUT ANY WARRANTY; without even the implied warranty of
13 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
14 * GNU General Public License for more details.
16 * You should have received a copy of the GNU General Public License
17 * along with this program; if not, write to the Free Software
18 * Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA
21 #include <config.h>
23 #include "xapian/weight.h"
25 #include "weightinternal.h"
27 #include "serialise-double.h"
29 #include "xapian/error.h"
31 #include <cmath>
33 using namespace std;
35 namespace Xapian {
37 IfB2Weight::IfB2Weight(double c)
38 : param_c(c)
40 if (param_c <= 0)
41 throw Xapian::InvalidArgumentError("Parameter c is invalid");
42 need_stat(AVERAGE_LENGTH);
43 need_stat(DOC_LENGTH);
44 need_stat(DOC_LENGTH_MIN);
45 need_stat(COLLECTION_SIZE);
46 need_stat(COLLECTION_FREQ);
47 need_stat(WDF);
48 need_stat(WDF_MAX);
49 need_stat(WQF);
50 need_stat(TERMFREQ);
53 IfB2Weight *
54 IfB2Weight::clone() const
56 return new IfB2Weight(param_c);
59 void
60 IfB2Weight::init(double factor)
62 if (factor == 0.0) {
63 // This object is for the term-independent contribution, and that's
64 // always zero for this scheme.
65 return;
68 double wdfn_upper = get_wdf_upper_bound();
69 if (wdfn_upper == 0) {
70 upper_bound = 0.0;
71 return;
74 double F = get_collection_freq();
75 double N = get_collection_size();
77 wdfn_upper *= log2(1 + (param_c * get_average_length()) /
78 get_doclength_lower_bound());
80 // This term is constant for all documents.
81 double idf_max = log2((N + 1.0) / (F + 0.5));
83 /* Calculate constant values to be used in get_sumpart(). */
84 wqf_product_idf = get_wqf() * idf_max * factor;
85 c_product_avlen = param_c * get_average_length();
86 B_constant = (F + 1.0) / get_termfreq();
88 // wdfn * B = wdfn * (F + 1.0) / (get_termfreq() * (wdfn + 1.0)).
89 // By cancelling out wdfn, we get (F + 1.0) / (get_termfreq() * (1.0 + 1.0 / wdfn)).
90 // In order to maximize the product, we need to minimize the denominator, and so we use wdfn_upper.
91 double max_wdfn_product_B = wdfn_upper * B_constant / (wdfn_upper + 1.0);
93 upper_bound = wqf_product_idf * max_wdfn_product_B * factor;
96 string
97 IfB2Weight::name() const
99 return "Xapian::IfB2Weight";
102 string
103 IfB2Weight::short_name() const
105 return "ifb2";
108 string
109 IfB2Weight::serialise() const
111 return serialise_double(param_c);
114 IfB2Weight *
115 IfB2Weight::unserialise(const string & s) const
117 const char *ptr = s.data();
118 const char *end = ptr + s.size();
119 double c = unserialise_double(&ptr, end);
120 if (rare(ptr != end))
121 throw Xapian::SerialisationError("Extra data in IfB2Weight::unserialise()");
122 return new IfB2Weight(c);
125 double
126 IfB2Weight::get_sumpart(Xapian::termcount wdf, Xapian::termcount len,
127 Xapian::termcount, Xapian::termcount) const
129 if (wdf == 0) return 0.0;
130 double wdfn = wdf;
131 wdfn *= log2(1 + c_product_avlen / len);
133 double wdfn_product_B = wdfn * B_constant / (wdfn + 1.0);
135 return (wqf_product_idf * wdfn_product_B);
138 double
139 IfB2Weight::get_maxpart() const
141 return upper_bound;
144 static inline void
145 parameter_error(const char* message)
147 Xapian::Weight::Internal::parameter_error(message, "ifb2");
150 IfB2Weight *
151 IfB2Weight::create_from_parameters(const char * p) const
153 if (*p == '\0')
154 return new Xapian::IfB2Weight();
155 double k = 1.0;
156 if (!Xapian::Weight::Internal::double_param(&p, &k))
157 parameter_error("Parameter is invalid");
158 if (*p)
159 parameter_error("Extra data after parameter");
160 return new Xapian::IfB2Weight(k);