Impala Documentation

virtual void Impala::Core::Training::TrainDataSrc::FilterTestFold	(	int	f,
		int	foldCount,
		int	repetition,
		bool	episodeConstrained,
		int	restrictSet
	)			`[inline, virtual]`

Definition at line 102 of file TrainDataSrc.h.

References Impala::Core::Table::TableTem< Col1T, Col2T, Col3T, Col4T, Col5T, Col6T, Col7T, Col8T, Col9T >::Get1(), ILOG_INFO, ILOG_WARN, Impala::Core::Table::AnnotationTable::IsPositive(), MakeFolds(), mAnnotation, mSelection, Impala::Core::Table::Select(), Impala::Core::Table::Table::Size(), and Impala::Core::Table::Sort().

Referenced by Impala::Core::Training::ClassifierEvaluator::Evaluate().

00104     {
00105         std::vector<Table::QuidTable*> folds =
00106             MakeFolds(f, foldCount, repetition, episodeConstrained);
00107         for(int i=0 ; i<folds.size() ; ++i)
00108         {
00109             if(f == i)
00110                 mSelection = folds[f];
00111             else
00112                 delete folds[i];
00113         }
00114 
00115         if (restrictSet != -1)
00116         {
00117             int oldSize = mSelection->Size();
00118             Table::QuidTable* tmp = 0;
00119             Table::CriterionQuidSetEquals<Table::QuidTable> crit(restrictSet);
00120             tmp = Select(mSelection, crit);
00121             bool hasPositive = false;
00122             for (int i=0 ; i<tmp->Size() ; i++)
00123             {
00124                 if (mAnnotation->IsPositive(tmp->Get1(i)))
00125                 {
00126                     hasPositive = true;
00127                     break;
00128                 }
00129             }
00130             if (hasPositive)
00131             {
00132                 delete mSelection;
00133                 mSelection = tmp;
00134                 ILOG_INFO("FilterTestFold: restrictSetId: size from " << oldSize
00135                           << " to " << mSelection->Size());
00136             }
00137             else
00138             {
00139                 ILOG_WARN("FilterTestFold: restrict would eliminiate positives");
00140                 delete tmp;
00141             }
00142         }
00143 
00144         // I'm actually not sure whether a sort here makes sense:
00145         // - on the one hand it makes TrainDataSrc more uniform and easier to debug
00146         // - on the other hand it is unnessecary and a bit slower
00147         // Let's stick with debuggability for now 
00148         Sort(mSelection, 1, true);
00149     }

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