question: protected boolean [ ] datasetIntegrity ( AttrTypes attrTypes , int classType , boolean attributeMissing , boolean classMissing ) { Estimator estimator = null ; print ( "estimator doesn't alter original datasets" ) ; printAttributeSummary ( attrTypes , classType ) ; print ( "..." ) ; int numTrain = getNumInstances ( ) ; getNumInstances ( ) ; int numClasses = 2 , missingLevel = 100 ; boolean [ ] result = new boolean [ 2 ] ; Instances train = null ; boolean built = false ; try { train = makeTestDataset ( 42 , numTrain , 1 , attrTypes , numClasses , classType ) ; int attrIndex = 0 ; if ( missingLevel > 0 ) { addMissing ( train , missingLevel , attributeMissing , classMissing , attrIndex ) ; } estimator = Estimator . makeCopies ( getEstimator ( ) , 1 ) [ 0 ] ; } catch ( Exception ex ) { throw new Error ( "Error setting up for tests: " + ex . getMessage ( ) ) ; } try { Instances trainCopy = new Instances ( train ) ; int attrIndex = 0 ; estimator . addValues ( trainCopy , attrIndex ) ; compareDatasets ( train , trainCopy ) ; built = true ; println ( "yes" ) ; result [ 0 ] = true ; } catch ( Exception ex ) { println ( "no" ) ; result [ 0 ] = false ; if ( m_Debug ) { println ( "\n=== Full Report ===" ) ; print ( "Problem during" ) ; if ( built ) { print ( " testing" ) ; } else { print ( " training" ) ; } println ( ": " + ex . getMessage ( ) + "\n" ) ; println ( "Here are the datasets:\n" ) ; println ( "=== Train Dataset ===\n" + train . toString ( ) + "\n" ) ; } } return result ; }
target:  Checks whether the scheme alters the training dataset during training. If the scheme needs to modify the training data it should take a copy of the training data. Currently checks for changes to header structure, number of instances, order of instances, instance weights.