From b7568a8dad2720d5ea0418171e9b85229adbbcc5 Mon Sep 17 00:00:00 2001
From: Patrick Simianer <p@simianer.de>
Date: Sun, 31 Jul 2011 19:24:02 +0200
Subject: bugfixing, begin refactoring

---
 dtrain/learner.h | 71 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 71 insertions(+)
 create mode 100644 dtrain/learner.h

(limited to 'dtrain/learner.h')

diff --git a/dtrain/learner.h b/dtrain/learner.h
new file mode 100644
index 00000000..a953284d
--- /dev/null
+++ b/dtrain/learner.h
@@ -0,0 +1,71 @@
+/*class Learnerx
+{
+  public:
+    virtual void Init(const vector<SparseVector<double> >& kbest, const Scores& scores) {};
+    virtual void Update(SparseVector<double>& lambdas);
+};*/
+
+class SofiaLearner //: public Learnerx FIXME
+{
+  // TODO bool invert_score
+  public:
+  void
+  Init( const size_t sid, const vector<SparseVector<double> >& kbest, /*const*/ Scores& scores )
+  {
+    assert( kbest.size() == scores.size() );
+    ofstream o;
+    //unlink( "/tmp/sofia_ml_training_stupid" );
+    o.open( "/tmp/sofia_ml_training_normalx", ios::trunc ); // TODO randomize, filename exists
+    int fid = 0;
+    map<int,int>::iterator ff;
+
+    for ( size_t k = 0; k < kbest.size(); ++k ) {
+      map<int,double> m;
+      SparseVector<double>::const_iterator it = kbest[k].begin();
+      o << scores[k].GetScore();
+      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_normalx --model_out /tmp/sofia_ml_model_normalx --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_stupid" );
+    i.open( "/tmp/sofia_ml_model_normalx", 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;
+};
+
-- 
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