Impala Documentation

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

Definition at line 152 of file TrainDataSrc.h.

References Impala::Core::Table::TableTem< Col1T, Col2T, Col3T, Col4T, Col5T, Col6T, Col7T, Col8T, Col9T >::Append(), MakeFolds(), mSelection, and Impala::Core::Table::Table::Size().

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

00153     {
00154         std::vector<Table::QuidTable*> folds =
00155             MakeFolds(f, foldCount, repetition, episodeConstrained);
00156         mSelection = new Table::QuidTable(0);
00157         ILOG_DEBUG_NODE("selection size = "<<mSelection->Size()<<")");
00158         for(int i=0 ; i<folds.size() ; ++i)
00159         {
00160             if(f != i)
00161             {
00162                 mSelection->Append(folds[i]);
00163             }
00164             delete folds[i];
00165         }
00166     }

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