text: /*
  Copyright (c) 2009 Yahoo! Inc.  All rights reserved.  The copyrights
  embodied in the content of this file are licensed under the BSD
  (revised) open source license
   */
  #include <stdlib.h>
  #include "vw.h"
  #include "gd.h"
  #include "accumulate.h"
  
  using namespace std;
  
  int main(int argc, char *argv[]) {
    gd_vars *vars = vw(argc, argv);
  
    if(global.span_server != "") {
      float loss = global.sd->sum_loss;
      global.sd->sum_loss = (double)accumulate_scalar(global.span_server, loss);
      float weighted_examples = global.sd->weighted_examples;
      global.sd->weighted_examples = (double)accumulate_scalar(global.span_server, weighted_examples);
      float weighted_labels = global.sd->weighted_labels;
      global.sd->weighted_labels = (double)accumulate_scalar(global.span_server, weighted_labels);
      float weighted_unlabeled_examples = global.sd->weighted_unlabeled_examples;
      global.sd->weighted_unlabeled_examples = (double)accumulate_scalar(global.span_server, weighted_unlabeled_examples);
      float example_number = global.sd->example_number;
      global.sd->example_number = (uint64_t)accumulate_scalar(global.span_server, example_number);
      float total_features = global.sd->total_features;
      global.sd->total_features = (uint64_t)accumulate_scalar(global.span_server, total_features);
    }
  
    float weighted_labeled_examples = global.sd->weighted_examples - global.sd->weighted_unlabeled_examples;
    float best_constant = (global.sd->weighted_labels - global.initial_t) / weighted_labeled_examples;
    float constant_loss = (best_constant*(1.0 - best_constant)*(1.0 - best_constant)
  			 + (1.0 - best_constant)*best_constant*best_constant);
    
    if (!global.quiet)
      {
        cerr.precision(4);
        cerr << endl << "finished run";
        cerr << endl << "number of examples = " << global.sd->example_number;
        cerr << endl << "weighted example sum = " << global.sd->weighted_examples;
        cerr << endl << "weighted label sum = " << global.sd->weighted_labels;
        cerr << endl << "average loss = " << global.sd->sum_loss / global.sd->weighted_examples;
        cerr << endl << "best constant = " << best_constant;
        if (global.sd->min_label == 0. && global.sd->max_label == 1. && best_constant < 1. && best_constant > 0.)
  	cerr << endl << "best constant's loss = " << constant_loss;
        cerr << endl << "total feature number = " << global.sd->total_features;
        if (global.active_simulation)
  	cerr << endl << "total queries = " << global.sd->queries << endl;
        cerr << endl;
      }
    
    free(vars);
    free(global.sd);
    
    return 0;
  }
  