/** * tests whether the clusterer alters the training set during training. * * @see CheckClusterer#datasetIntegrity(boolean, boolean, boolean, boolean, boolean, boolean, boolean) * @see CheckClusterer#runTests(boolean, boolean, boolean) */ public void testDatasetIntegrity() { boolean[] result; if (!canPredict()) return; result = m_Tester.datasetIntegrity( m_NominalPredictors, m_NumericPredictors, m_StringPredictors, m_DatePredictors, m_RelationalPredictors, m_multiInstanceHandler, m_handleMissingPredictors); if (!result[0] && !result[1]) fail("Training set is altered during training!"); }
/** * tests whether the clusterer alters the training set during training. * * @see CheckClusterer#datasetIntegrity(boolean, boolean, boolean, boolean, boolean, boolean, boolean) * @see CheckClusterer#runTests(boolean, boolean, boolean) */ public void testDatasetIntegrity() { boolean[] result; if (!canPredict()) return; result = m_Tester.datasetIntegrity( m_NominalPredictors, m_NumericPredictors, m_StringPredictors, m_DatePredictors, m_RelationalPredictors, m_multiInstanceHandler, m_handleMissingPredictors); if (!result[0] && !result[1]) fail("Training set is altered during training!"); }
datasetIntegrity(PNom, PNum, PStr, PDat, PRel, multiInstance, handleMissingPredictors); if (updateable) {
datasetIntegrity(PNom, PNum, PStr, PDat, PRel, multiInstance, handleMissingPredictors); if (updateable) {