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#include <stdio.h>
#include "../vowpalwabbit/parser.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* model = VW::initialize("--hash all -q st --noconstant -i train.w -f train2.vw");
example *vec2 = VW::read_example(*model, (char*)"|s p^the_man w^the w^man |t p^un_homme w^un w^homme");
model->learn(vec2);
cerr << "p2 = " << vec2->final_prediction << endl;
VW::finish_example(*model, vec2);
vector< VW::feature_space > ec_info;
vector<feature> s_features, t_features;
uint32_t s_hash = VW::hash_space(*model, "s");
uint32_t t_hash = VW::hash_space(*model, "t");
s_features.push_back( vw_feature_from_string(*model, "p^the_man", s_hash, 1.0) );
s_features.push_back( vw_feature_from_string(*model, "w^the", s_hash, 1.0) );
s_features.push_back( vw_feature_from_string(*model, "w^man", s_hash, 1.0) );
t_features.push_back( vw_feature_from_string(*model, "p^le_homme", t_hash, 1.0) );
t_features.push_back( vw_feature_from_string(*model, "w^le", t_hash, 1.0) );
t_features.push_back( vw_feature_from_string(*model, "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(*model, ec_info);
model->learn(vec3);
cerr << "p3 = " << vec3->final_prediction << endl;
VW::finish_example(*model, vec3);
VW::finish(*model);
vw* model2 = VW::initialize("--hash all -q st --noconstant -i train2.vw");
vec2 = VW::read_example(*model2, (char*)"|s p^the_man w^the w^man |t p^un_homme w^un w^homme");
model2->learn(vec2);
cerr << "p4 = " << vec2->final_prediction << endl;
VW::finish_example(*model2, vec2);
VW::finish(*model2);
}
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