big update: working iterating, pretty output, test scripts and more

1 files changed, 0 insertions, 96 deletions

diff --git a/dtrain/learner.h b/dtrain/learner.h
deleted file mode 100644
index 038749e2..00000000
--- a/dtrain/learner.h
+++ /dev/null
@@ -1,96 +0,0 @@
-#ifndef _DTRAIN_LEARNER_H_
-#define _DTRAIN_LEARNER_H_
-
-#include <string>
-#include <vector>
-#include <map>
-
-#include "sparse_vector.h"
-#include "score.h"
-
-
-namespace dtrain
-{
-
-
-class Learner
-{
-  public:
-    virtual void Init( const vector<SparseVector<double> >& kbest, const Scores& scores,
-                       const bool invert_score = false ) {};
-    virtual void Update( SparseVector<double>& lambdas ) {};
-};
-
-
-class SofiaLearner : public Learner
-{
-  public:
-    void
-    Init( const size_t sid, const vector<SparseVector<double> >& kbest, /*const FIXME*/ Scores& scores,
-          const bool invert_score = false )
-    {
-      assert( kbest.size() == scores.size() );
-      ofstream o;
-      unlink( "/tmp/sofia_ml_training" );
-      o.open( "/tmp/sofia_ml_training", ios::trunc ); // TODO randomize, filename exists
-      int fid = 0;
-      map<int,int>::iterator ff;
-
-      double score;
-      for ( size_t k = 0; k < kbest.size(); ++k ) {
-        map<int,double> m;
-        SparseVector<double>::const_iterator it = kbest[k].begin();
-        score = scores[k].GetScore();
-        if ( invert_score ) score = -score;
-        o << score;
-        for ( ; it != kbest[k].end(); ++it ) {
-          ff = fmap.find( it->first );
-          if ( ff == fmap.end() ) {
-            fmap.insert( pair<int,int>(it->first, fid) );
-            fmap1.insert( pair<int,int>(fid, it->first) );
-            fid++;
-          }
-          m.insert( pair<int,double>(fmap[it->first], it->second) );
-        }
-        map<int,double>::iterator ti = m.begin();
-        for ( ; ti != m.end(); ++ti ) {
-          o << " " << ti->first << ":" << ti->second;
-        }
-        o << endl;
-      }
-      o.close();
-    }
-
-    void
-    Update(SparseVector<double>& lambdas)
-    {
-      string call = "./sofia-ml --training_file /tmp/sofia_ml_training --model_out /tmp/sofia_ml_model --loop_type stochastic --lambda 100 --dimensionality ";
-      std::stringstream out;
-      out << fmap.size();
-      call += out.str();
-      call += " &>/dev/null";
-      system ( call.c_str() );
-      ifstream i;
-      unlink( "/tmp/sofia_ml_model" );
-      i.open( "/tmp/sofia_ml_model", ios::in );
-      string model;
-      getline( i, model );
-      vector<string> strs;
-      boost::split( strs, model, boost::is_any_of(" ") );
-      int j = 0;
-      for ( vector<string>::iterator it = strs.begin(); it != strs.end(); ++it ) {
-        lambdas.set_value(fmap1[j], atof( it->c_str() ) );
-        j++;
-      }
-    }
-
-  private:
-    map<int,int> fmap;
-    map<int,int> fmap1;
-};
-
-
-} // namespace
-
-#endif
-