/** * tests whether the classifier produces the same model when trained * incrementally as when batch trained. * * @see CheckClusterer#updatingEquality(boolean, boolean, boolean, boolean, boolean, boolean) * @see CheckClusterer#runTests(boolean, boolean, boolean) */ public void testUpdatingEquality() { boolean[] result; if (m_updateableClusterer) { result = m_Tester.updatingEquality( m_NominalPredictors, m_NumericPredictors, m_StringPredictors, m_DatePredictors, m_RelationalPredictors, m_multiInstanceHandler); if (!result[0]) System.err.println( "Incremental training does not produce same result as batch training!"); } }
/** * tests whether the classifier produces the same model when trained * incrementally as when batch trained. * * @see CheckClusterer#updatingEquality(boolean, boolean, boolean, boolean, boolean, boolean) * @see CheckClusterer#runTests(boolean, boolean, boolean) */ public void testUpdatingEquality() { boolean[] result; if (m_updateableClusterer) { result = m_Tester.updatingEquality( m_NominalPredictors, m_NumericPredictors, m_StringPredictors, m_DatePredictors, m_RelationalPredictors, m_multiInstanceHandler); if (!result[0]) System.err.println( "Incremental training does not produce same result as batch training!"); } }
handleMissingPredictors); if (updateable) { updatingEquality(PNom, PNum, PStr, PDat, PRel, multiInstance);
handleMissingPredictors); if (updateable) { updatingEquality(PNom, PNum, PStr, PDat, PRel, multiInstance);