diff options
author | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
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committer | Avneesh Saluja <asaluja@gmail.com> | 2013-03-28 18:28:16 -0700 |
commit | 3d8d656fa7911524e0e6885647173474524e0784 (patch) | |
tree | 81b1ee2fcb67980376d03f0aa48e42e53abff222 /training/mr_em_adapted_reduce.cc | |
parent | be7f57fdd484e063775d7abf083b9fa4c403b610 (diff) | |
parent | 96fedabebafe7a38a6d5928be8fff767e411d705 (diff) |
fixed conflicts
Diffstat (limited to 'training/mr_em_adapted_reduce.cc')
-rw-r--r-- | training/mr_em_adapted_reduce.cc | 173 |
1 files changed, 0 insertions, 173 deletions
diff --git a/training/mr_em_adapted_reduce.cc b/training/mr_em_adapted_reduce.cc deleted file mode 100644 index f65b5440..00000000 --- a/training/mr_em_adapted_reduce.cc +++ /dev/null @@ -1,173 +0,0 @@ -#include <iostream> -#include <vector> -#include <cassert> -#include <cmath> - -#include <boost/program_options.hpp> -#include <boost/program_options/variables_map.hpp> - -#include "filelib.h" -#include "fdict.h" -#include "weights.h" -#include "sparse_vector.h" -#include "m.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() - ("optimization_method,m", po::value<string>()->default_value("em"), "Optimization method (em, vb)") - ("input_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); - } -} - -double NoZero(const double& x) { - if (x) return x; - return 1e-35; -} - -void Maximize(const bool use_vb, - const double& alpha, - const int total_event_types, - SparseVector<double>* pc) { - const SparseVector<double>& counts = *pc; - - if (use_vb) - assert(total_event_types >= counts.size()); - - double tot = 0; - for (SparseVector<double>::const_iterator it = counts.begin(); - it != counts.end(); ++it) - tot += it->second; -// cerr << " = " << tot << endl; - assert(tot > 0.0); - double ltot = log(tot); - if (use_vb) - ltot = Md::digamma(tot + total_event_types * alpha); - for (SparseVector<double>::const_iterator it = counts.begin(); - it != counts.end(); ++it) { - if (use_vb) { - pc->set_value(it->first, NoZero(Md::digamma(it->second + alpha) - ltot)); - } else { - pc->set_value(it->first, NoZero(log(it->second) - ltot)); - } - } -#if 0 - if (counts.size() < 50) { - for (SparseVector<double>::const_iterator it = counts.begin(); - it != counts.end(); ++it) { - cerr << " p(" << FD::Convert(it->first) << ")=" << exp(it->second); - } - cerr << endl; - } -#endif -} - -int main(int argc, char** argv) { - po::variables_map conf; - InitCommandLine(argc, argv, &conf); - - const bool use_b64 = conf["input_format"].as<string>() == "b64"; - const bool use_vb = conf["optimization_method"].as<string>() == "vb"; - const double alpha = 1e-09; - if (use_vb) - cerr << "Using variational Bayes, make sure alphas are set\n"; - - const string s_obj = "**OBJ**"; - // E-step - string cur_key = ""; - SparseVector<double> acc; - double logprob = 0; - while(cin) { - string line; - getline(cin, line); - if (line.empty()) continue; - int feat; - double val; - size_t i = line.find("\t"); - const string key = line.substr(0, i); - assert(i != string::npos); - ++i; - if (key != cur_key) { - if (cur_key.size() > 0) { - // TODO shouldn't be num_active, should be total number - // of events - Maximize(use_vb, alpha, acc.size(), &acc); - cout << cur_key << '\t'; - if (use_b64) - B64::Encode(0.0, acc, &cout); - else - cout << acc; - cout << endl; - acc.clear(); - } - cur_key = key; - } - if (use_b64) { - SparseVector<double> g; - double obj; - if (!B64::Decode(&obj, &g, &line[i], line.size() - i)) { - cerr << "B64 decoder returned error, skipping!\n"; - continue; - } - logprob += obj; - acc += g; - } 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) { - logprob += val; - } else { - acc.add_value(feat, val); - } - } - } - } - // TODO shouldn't be num_active, should be total number - // of events - Maximize(use_vb, alpha, acc.size(), &acc); - cout << cur_key << '\t'; - if (use_b64) - B64::Encode(0.0, acc, &cout); - else - cout << acc; - cout << endl << flush; - - cerr << "LOGPROB: " << logprob << endl; - - return 0; -} |