Open dguijo opened 4 years ago
Hi. Thanks for reporting this.
I can't see any attached files, please, can you check this?
I don't think we can just remove the KKT conditions test since otherwise, the optimizer can't guarantee that it finds the optimal solution.
Perhaps you can relax the tolerance threshold by increasing #define DEF_TOL (0.001)
in smo.h
, e.g. 0.15.
best
First of all, I'm running
ORCA
onMatlab R2018a
.I've been crossvalidating SVOREX with a big set of parameters. At some point (i.e. with a specific combination of parameters detailed below), SVOREX has returned a segmentation fault with the following error description:
Warning: KKT conditions are violated on bias!!! -0.101231 with C=1.000 K=0.001 Segmentation Fault
Up to my knowledge, this comes from the following lines, in the
smo_routine.c
(included in SVOREX folder):In my case, by removing the
exit(1);
line, the code works successfully, however, I could be omitting any criterion that must be satisfied.The dataset (patterns and labels of both train and test) is attached to this issue. The algorithm is
SVOREX
, and the parameter combination is:C=1.000 -- K=0.001
.Dataset.zip