From: Faranak S. <f.s...@qm...> - 2017-05-22 11:26:28
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Hi, Thanks a lot for getting back to me. When I'm using the Cross validation What I get as a result is the Class A b= y itself. I did test it with both PosOnly learning problem and also PosNegative learn= ing problem. considering the three different learning problem(lp1, lp2, lp3); * ClassLearningProblem lp1 =3D new ClassLearningProblem(rc); * PosOnlyLP lp2 =3D new PosOnlyLP(rc, posExamples); * PosNegLPStandard lp3 =3D new PosNegLPStandard(rc, posExamples, negExamples); Is that correct to conclude that the solution you get based on the lp1 is more precise in comparison with lp2 and lp3? (maybe because the number of th= e negative instances are always more?) I did work with the provided CrossValidation in DL code and there Only PosNeg and PosOnly learning problems are supported, however all I get as a solution is either; A and (not B ) or A for each Target class. I can not get anything to cover object relations. While if I ignore cross-validation and only use lp1, I can have results including object relations as well. Best, Faranak -- |