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-rw-r--r--training/mr_em_map_adapter.cc160
1 files changed, 0 insertions, 160 deletions
diff --git a/training/mr_em_map_adapter.cc b/training/mr_em_map_adapter.cc
deleted file mode 100644
index ead4598d..00000000
--- a/training/mr_em_map_adapter.cc
+++ /dev/null
@@ -1,160 +0,0 @@
-#include <iostream>
-#include <fstream>
-#include <cassert>
-#include <cmath>
-
-#include <boost/utility.hpp>
-#include <boost/program_options.hpp>
-#include <boost/program_options/variables_map.hpp>
-#include "boost/tuple/tuple.hpp"
-
-#include "fdict.h"
-#include "sparse_vector.h"
-
-using namespace std;
-namespace po = boost::program_options;
-
-// useful for EM models parameterized by a bunch of multinomials
-// this converts event counts (returned from cdec as feature expectations)
-// into different keys and values (which are lists of all the events,
-// conditioned on the key) for summing and normalization by a reducer
-
-void InitCommandLine(int argc, char** argv, po::variables_map* conf) {
- po::options_description opts("Configuration options");
- opts.add_options()
- ("buffer_size,b", po::value<int>()->default_value(1), "Buffer size (in # of counts) before emitting counts")
- ("format,f",po::value<string>()->default_value("b64"), "Encoding of the input (b64 or text)");
- po::options_description clo("Command line options");
- clo.add_options()
- ("config", po::value<string>(), "Configuration file")
- ("help,h", "Print this help message and exit");
- po::options_description dconfig_options, dcmdline_options;
- dconfig_options.add(opts);
- dcmdline_options.add(opts).add(clo);
-
- po::store(parse_command_line(argc, argv, dcmdline_options), *conf);
- if (conf->count("config")) {
- ifstream config((*conf)["config"].as<string>().c_str());
- po::store(po::parse_config_file(config, dconfig_options), *conf);
- }
- po::notify(*conf);
-
- if (conf->count("help")) {
- cerr << dcmdline_options << endl;
- exit(1);
- }
-}
-
-struct EventMapper {
- int Map(int fid) {
- int& cv = map_[fid];
- if (!cv) {
- cv = GetConditioningVariable(fid);
- }
- return cv;
- }
- void Clear() { map_.clear(); }
- protected:
- virtual int GetConditioningVariable(int fid) const = 0;
- private:
- map<int, int> map_;
-};
-
-struct LexAlignEventMapper : public EventMapper {
- protected:
- virtual int GetConditioningVariable(int fid) const {
- const string& str = FD::Convert(fid);
- size_t pos = str.rfind("_");
- if (pos == string::npos || pos == 0 || pos >= str.size() - 1) {
- cerr << "Bad feature for EM adapter: " << str << endl;
- abort();
- }
- return FD::Convert(str.substr(0, pos));
- }
-};
-
-int main(int argc, char** argv) {
- po::variables_map conf;
- InitCommandLine(argc, argv, &conf);
-
- const bool use_b64 = conf["format"].as<string>() == "b64";
- const int buffer_size = conf["buffer_size"].as<int>();
-
- const string s_obj = "**OBJ**";
- // 0<TAB>**OBJ**=12.2;Feat1=2.3;Feat2=-0.2;
- // 0<TAB>**OBJ**=1.1;Feat1=1.0;
-
- EventMapper* event_mapper = new LexAlignEventMapper;
- map<int, SparseVector<double> > counts;
- size_t total = 0;
- while(cin) {
- string line;
- getline(cin, line);
- if (line.empty()) continue;
- int feat;
- double val;
- size_t i = line.find("\t");
- assert(i != string::npos);
- ++i;
- SparseVector<double> g;
- double obj = 0;
- if (use_b64) {
- if (!B64::Decode(&obj, &g, &line[i], line.size() - i)) {
- cerr << "B64 decoder returned error, skipping!\n";
- continue;
- }
- } else { // text encoding - your counts will not be accurate!
- while (i < line.size()) {
- size_t start = i;
- while (line[i] != '=' && i < line.size()) ++i;
- if (i == line.size()) { cerr << "FORMAT ERROR\n"; break; }
- string fname = line.substr(start, i - start);
- if (fname == s_obj) {
- feat = -1;
- } else {
- feat = FD::Convert(line.substr(start, i - start));
- }
- ++i;
- start = i;
- while (line[i] != ';' && i < line.size()) ++i;
- if (i - start == 0) continue;
- val = atof(line.substr(start, i - start).c_str());
- ++i;
- if (feat == -1) {
- obj = val;
- } else {
- g.set_value(feat, val);
- }
- }
- }
- //cerr << "OBJ: " << obj << endl;
- const SparseVector<double>& cg = g;
- for (SparseVector<double>::const_iterator it = cg.begin(); it != cg.end(); ++it) {
- const int cond_var = event_mapper->Map(it->first);
- SparseVector<double>& cond_counts = counts[cond_var];
- int delta = cond_counts.size();
- cond_counts.add_value(it->first, it->second);
- delta = cond_counts.size() - delta;
- total += delta;
- }
- if (total > buffer_size) {
- for (map<int, SparseVector<double> >::iterator it = counts.begin();
- it != counts.end(); ++it) {
- const SparseVector<double>& cc = it->second;
- cout << FD::Convert(it->first) << '\t';
- if (use_b64) {
- B64::Encode(0.0, cc, &cout);
- } else {
- abort();
- }
- cout << endl;
- }
- cout << flush;
- total = 0;
- counts.clear();
- }
- }
-
- return 0;
-}
-