forked from usnistgov/trec_eval
-
Notifications
You must be signed in to change notification settings - Fork 1
/
m_G.c
236 lines (210 loc) · 7.1 KB
/
m_G.c
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
/*
Copyright (c) 2008 - Chris Buckley.
Permission is granted for use and modification of this file for
research, non-commercial purposes.
*/
#include "common.h"
#include "sysfunc.h"
#include "trec_eval.h"
#include "functions.h"
#include "trec_format.h"
double log2(double x);
static int
te_calc_G (const EPI *epi, const REL_INFO *rel_info,
const RESULTS *results, const TREC_MEAS *tm, TREC_EVAL *eval);
static PARAMS default_G_gains = { NULL, 0, NULL};
/* See trec_eval.h for definition of TREC_MEAS */
TREC_MEAS te_meas_G =
{"G",
" Normalized Gain\n\
Experimental measure 4/10/2008\n\
G is a gain related measure that combines qualities of MAP and NDCG.\n\
Contribution of doc doc retrieved at rank i is \n\
G(doc) == gain (doc) / log2 (2+ideal_gain(i)-results_gain(i))\n\
where results_gain(i) is sum gain(doc) for all docs before i\n\
and ideal_gain is the maximum possible results_gain(i)\n\
G is the sum of G(doc) over all docs, normalized by max ideal_gain.\n\
Gain values are set to the appropriate relevance level by default. \n\
The default gain can be overridden on the command line by having \n\
comma separated parameters 'rel_level=gain'.\n\
Eg, 'trec_eval -m G.1=3.5,2=9.0,4=7.0 ...'\n\
will give gains 3.5, 9.0, 3.0, 7.0 for relevance levels 1,2,3,4\n\
respectively (level 3 remains at the default).\n\
Gains are allowed to be 0 or negative, and relevance level 0\n\
can be given a gain.\n\
The idea behind G is that the contribution of a doc retrieved at i\n\
should not be independent of the docs before. If most docs before have\n\
higher gain, then the retrieval of this doc at i is nearly as good as \n\
possible, and should be rewarded appropriately\n",
te_init_meas_s_double_p_pair,
te_calc_G,
te_acc_meas_s,
te_calc_avg_meas_s,
te_print_single_meas_s_double,
te_print_final_meas_s_double_p,
&default_G_gains, -1
};
/* Keep track of valid rel_levels and associated gains */
/* Initialized in setup_gains */
typedef struct {
long rel_level;
long num_at_level;
double gain;
} REL_GAIN;
typedef struct {
REL_GAIN *rel_gains;
long num_gains;
long total_num_at_levels;
} GAINS;
static int setup_gains (const TREC_MEAS *tm, const RES_RELS *res_rels,
GAINS *gains);
static double get_gain (const long rel_level, const GAINS *gains);
static int comp_rel_gain ();
static int
te_calc_G (const EPI *epi, const REL_INFO *rel_info,
const RESULTS *results, const TREC_MEAS *tm, TREC_EVAL *eval)
{
RES_RELS res_rels;
double results_gain, sum_results;
double ideal_gain, sum_ideal;
double sum_cost, min_cost;
double results_g;
long cur_level, num_at_level;
long i;
GAINS gains;
if (UNDEF == te_form_res_rels (epi, rel_info, results, &res_rels))
return (UNDEF);
if (UNDEF == setup_gains (tm, &res_rels, &gains))
return (UNDEF);
results_g = 0.0;
sum_results = 0.0;
sum_ideal = 0.0;
sum_cost = 0.0;
cur_level = gains.num_gains - 1;
ideal_gain = (cur_level >= 0) ? gains.rel_gains[cur_level].gain : 0.0;
num_at_level = 0;
min_cost = 1.0;
for (i = 0; i < res_rels.num_ret && ideal_gain > 0.0; i++) {
/* Calculate change in actual results */
results_gain = get_gain (res_rels.results_rel_list[i], &gains);
sum_results += results_gain;
/* Calculate change in ideal results */
num_at_level++;
while (cur_level >= 0 &&
num_at_level > gains.rel_gains[cur_level].num_at_level) {
num_at_level = 1;
cur_level--;
ideal_gain = (cur_level >= 0) ? gains.rel_gains[cur_level].gain:0.0;
}
if (ideal_gain > 0.0)
sum_ideal += ideal_gain;
if (ideal_gain >= min_cost)
sum_cost += ideal_gain;
else
sum_cost += min_cost;
/* Calculate G */
if (results_gain != 0)
results_g += results_gain /
log2((double) (2 + sum_cost - sum_results));
if (epi->debug_level > 0)
printf("G: %ld %ld %3.1f %6.4f %3.1f %6.4f %6.4f %6.4f\n",
i, cur_level, results_gain, sum_results,
ideal_gain, sum_ideal, sum_cost, results_g);
}
while (i < res_rels.num_ret) {
/* Calculate change in results gain */
results_gain = get_gain (res_rels.results_rel_list[i], &gains);
sum_results += results_gain;
sum_cost += min_cost;
if (results_gain != 0)
results_g += results_gain /
log2((double) (2 + sum_cost - sum_results));
if (epi->debug_level > 0)
printf("G: %ld %ld %3.1f %6.4f %3.1f %6.4f %6.4f\n",
i, cur_level, results_gain, sum_results, 0.0,
sum_ideal, results_g);
i++;
}
while (ideal_gain > 0.0) {
/* Calculate change in ideal results gain*/
num_at_level++;
while (cur_level >= 0 &&
num_at_level > gains.rel_gains[cur_level].num_at_level) {
num_at_level = 1;
cur_level--;
ideal_gain = (cur_level >= 0) ? gains.rel_gains[cur_level].gain:0.0;
}
if (ideal_gain > 0.0)
sum_ideal += ideal_gain;
if (epi->debug_level > 0)
printf("G: %ld %ld %3.1f %6.4f %3.1f %6.4f\n",
i, cur_level, 0.0, sum_results,
ideal_gain, sum_ideal);
i++;
}
/* Compare sum to ideal G */
if (sum_ideal > 0.0) {
eval->values[tm->eval_index].value = results_g / sum_ideal;
}
Free (gains.rel_gains);
return (1);
}
static int
setup_gains (const TREC_MEAS *tm, const RES_RELS *res_rels, GAINS *gains)
{
DOUBLE_PARAM_PAIR *pairs = NULL;
long num_pairs = 0;
long i,j;
long num_gains;
if (tm->meas_params) {
pairs = (DOUBLE_PARAM_PAIR *) tm->meas_params->param_values;
num_pairs = tm->meas_params->num_params;
}
if (NULL == (gains->rel_gains = Malloc(res_rels->num_rel_levels + num_pairs,
REL_GAIN)))
return (UNDEF);
num_gains = 0;
for (i = 0; i < num_pairs; i++) {
gains->rel_gains[num_gains].rel_level = atol (pairs[i].name);
gains->rel_gains[num_gains].gain = (double) pairs[i].value;
gains->rel_gains[num_gains].num_at_level = 0;
num_gains++;
}
for (i = 0; i < res_rels->num_rel_levels; i++) {
for (j = 0; j < num_gains && gains->rel_gains[j].rel_level != i; j++)
;
if (j < num_gains)
/* Was included in list of parameters. Update occurrence info */
gains->rel_gains[j].num_at_level = res_rels->rel_levels[i];
else {
/* Not included in list of parameters. New gain level */
gains->rel_gains[num_gains].rel_level = i;
gains->rel_gains[num_gains].gain = (double) i;
gains->rel_gains[num_gains].num_at_level = res_rels->rel_levels[i];
num_gains++;
}
}
/* Sort gains by increasing gain value */
qsort ((char *) gains->rel_gains,
(int) num_gains,
sizeof (REL_GAIN),
comp_rel_gain);
gains->total_num_at_levels = 0;
for (i = 0; i < num_gains; i++)
gains->total_num_at_levels += gains->rel_gains[i].num_at_level;
gains->num_gains = num_gains;
return (1);
}
static int comp_rel_gain (REL_GAIN *ptr1, REL_GAIN *ptr2)
{
return (ptr1->gain - ptr2->gain);
}
static double
get_gain (const long rel_level, const GAINS *gains)
{
long i;
for (i = 0; i < gains->num_gains; i++)
if (rel_level == gains->rel_gains[i].rel_level)
return (gains->rel_gains[i].gain);
return (0.0); /* Print Error ?? */
}