Possible culprit is in kariba_model.py where as a premature optimization a penalty is not computed and set directly to 0 if its weight in the objective function is zero; the logic carries over the resulting 0 in the fit_terms collection that is written as a json after calibration.
Premature optimization is the root of all evil (in programming).
Possible culprit is in kariba_model.py where as a premature optimization a penalty is not computed and set directly to 0 if its weight in the objective function is zero; the logic carries over the resulting 0 in the fit_terms collection that is written as a json after calibration.
Premature optimization is the root of all evil (in programming).