forked from VowpalWabbit/vowpal_wabbit
-
Notifications
You must be signed in to change notification settings - Fork 0
/
library_example.cc
43 lines (34 loc) · 1.52 KB
/
library_example.cc
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
#include <stdio.h>
#include "../vowpalwabbit/vw.h"
using namespace std;
inline feature vw_feature_from_string(vw& v, string fstr, unsigned long seed, float val)
{
uint32_t foo = VW::hash_feature(v, fstr, seed);
feature f = { val, foo};
return f;
}
int main(int argc, char *argv[])
{
vw vw = VW::initialize("--hash all -q st --noconstant -i train.w");
example *vec2 = VW::read_example(vw, (char*)"|s p^the_man w^the w^man |t p^un_homme w^un w^homme");
vw.learn(&vw, vec2);
cerr << "p2 = " << vec2->final_prediction << endl;
vector< VW::feature_space > ec_info;
vector<feature> s_features, t_features;
uint32_t s_hash = VW::hash_space(vw, "s");
uint32_t t_hash = VW::hash_space(vw, "t");
s_features.push_back( vw_feature_from_string(vw, "p^the_man", s_hash, 1.0) );
s_features.push_back( vw_feature_from_string(vw, "w^the", s_hash, 1.0) );
s_features.push_back( vw_feature_from_string(vw, "w^man", s_hash, 1.0) );
t_features.push_back( vw_feature_from_string(vw, "p^le_homme", t_hash, 1.0) );
t_features.push_back( vw_feature_from_string(vw, "w^le", t_hash, 1.0) );
t_features.push_back( vw_feature_from_string(vw, "w^homme", t_hash, 1.0) );
ec_info.push_back( VW::feature_space('s', s_features) );
ec_info.push_back( VW::feature_space('t', t_features) );
example* vec3 = VW::import_example(vw, ec_info);
vw.learn(&vw, vec3);
cerr << "p3 = " << vec3->final_prediction << endl;
VW::finish_example(vw, vec2);
VW::finish_example(vw, vec3);
VW::finish(vw);
}