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
|
#include <iostream>
#include <vector>
#include <boost/program_options.hpp>
#include <boost/program_options/variables_map.hpp>
#include "filelib.h"
#include "weights.h"
#include "line_optimizer.h"
using namespace std;
namespace po = boost::program_options;
void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
po::options_description opts("Configuration options");
opts.add_options()
("dev_set_size,s",po::value<unsigned>(),"[REQD] Development set size (# of parallel sentences)")
("forest_repository,r",po::value<string>(),"[REQD] Path to forest repository")
("weights,w",po::value<string>(),"[REQD] Current feature weights file")
("optimize_feature,o",po::value<vector<string> >(), "Feature to optimize (if none specified, all weights listed in the weights file will be optimized)")
("random_directions,d",po::value<unsigned int>()->default_value(20),"Number of random directions to run the line optimizer in")
("help,h", "Help");
po::options_description dcmdline_options;
dcmdline_options.add(opts);
po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
bool flag = false;
if (conf->count("dev_set_size") == 0) {
cerr << "Please specify the size of the development set using -d N\n";
flag = true;
}
if (conf->count("weights") == 0) {
cerr << "Please specify the starting-point weights using -w <weightfile.txt>\n";
flag = true;
}
if (conf->count("forest_repository") == 0) {
cerr << "Please specify the forest repository location using -r <DIR>\n";
flag = true;
}
if (flag || conf->count("help")) {
cerr << dcmdline_options << endl;
exit(1);
}
}
int main(int argc, char** argv) {
RandomNumberGenerator<boost::mt19937> rng;
po::variables_map conf;
InitCommandLine(argc, argv, &conf);
vector<string> features;
SparseVector<weight_t> origin;
vector<weight_t> w;
Weights::InitFromFile(conf["weights"].as<string>(), &w, &features);
Weights::InitSparseVector(w, &origin);
const string forest_repository = conf["forest_repository"].as<string>();
assert(DirectoryExists(forest_repository));
if (conf.count("optimize_feature") > 0)
features=conf["optimize_feature"].as<vector<string> >();
vector<SparseVector<weight_t> > directions;
vector<int> fids(features.size());
for (int i = 0; i < features.size(); ++i)
fids[i] = FD::Convert(features[i]);
LineOptimizer::CreateOptimizationDirections(
fids,
conf["random_directions"].as<unsigned int>(),
&rng,
&directions);
unsigned dev_set_size = conf["dev_set_size"].as<unsigned>();
for (unsigned i = 0; i < dev_set_size; ++i) {
for (unsigned j = 0; j < directions.size(); ++j) {
cout << forest_repository << '/' << i << ".json.gz " << i << ' ';
print(cout, origin, "=", ";");
cout << ' ';
print(cout, directions[j], "=", ";");
cout << endl;
}
}
return 0;
}
|
