From 1b8181bf0d6e9137e6b9ccdbe414aec37377a1a9 Mon Sep 17 00:00:00 2001
From: Chris Dyer <cdyer@allegro.clab.cs.cmu.edu>
Date: Sun, 18 Nov 2012 13:35:42 -0500
Subject: major restructure of the training code

---
 training/mr_em_adapted_reduce.cc | 173 ---------------------------------------
 1 file changed, 173 deletions(-)
 delete mode 100644 training/mr_em_adapted_reduce.cc

(limited to 'training/mr_em_adapted_reduce.cc')

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;
-}
-- 
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