add accuracy

demo/test/runexp.sh

@@ -24,6 +24,7 @@ python mknfold.py agaricus.txt 1
 ../../xgboost mushroom.conf task=dump model_in=m3.model fmap=featmap.txt name_dump=dump.m3.txt
 ../../xgboost mushroom.conf task=dump model_in=m4.model fmap=featmap.txt name_dump=dump.m4.txt
 
+
 echo "========m1======="
 cat dump.m1.txt
 
@@ -33,10 +34,19 @@ cat dump.m2.txt
 echo "========m3========"
 cat dump.m3.txt
 
+# statistics are print into stderr
+../../xgboost mushroom.conf model_in=m3.model task=eval 2>eval.m3.txt
+cat eval.m3.txt
+
 echo "========m4========"
 cat dump.m4.txt
 
+../../xgboost mushroom.conf model_in=m4.model task=eval 2>eval.m4.txt
+cat eval.m4.txt
 
 
 echo "========full======="
 cat dump.full.txt
+
+../../xgboost mushroom.conf model_in=full.model task=eval 2>eval.full.txt
+cat eval.full.txt

regression/xgboost_reg.h

@@ -159,7 +159,7 @@ namespace xgboost{
                 int buffer_offset = static_cast<int>( train_->Size() );
                 
                 for( size_t i = 0; i < evals_.size(); ++i ){
-                    std::vector<float> &preds = this->eval_preds_[ i ];                    
+                    std::vector<float> &preds = this->eval_preds_[ i ];
                     this->PredictBuffer( preds, *evals_[i], buffer_offset);
                     evaluator_.Eval( fo, evname_[i].c_str(), preds, (*evals_[i]).labels );
                     buffer_offset += static_cast<int>( evals_[i]->Size() );

regression/xgboost_reg_main.cpp

@@ -40,12 +40,13 @@ namespace xgboost{
                     return 0;
                 }
                 if( task == "interact" ){
-                    this->TaskInteractive();
-                    return 0;
+                    this->TaskInteractive(); return 0;
                 }
                 if( task == "dumppath" ){
-                    this->TaskDumpPath();
-                    return 0;
+                    this->TaskDumpPath(); return 0;
+                }
+                if( task == "eval" ){
+                    this->TaskEval(); return 0;
                 }
                 if( task == "pred" ){
                     this->TaskPred();
@@ -160,7 +161,9 @@ namespace xgboost{
                     printf("\nupdating end, %lu sec in all\n", elapsed );
                 }
             }
-
+            inline void TaskEval( void ){
+                learner.EvalOneIter( 0 );
+            }
             inline void TaskInteractive( void ){
                 const time_t start    = time( NULL );
                 unsigned long elapsed = 0;