You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Among the three suggestions in my C&A presentation (in bold at https://confluence.slac.stanford.edu/display/SCIGRPS/Convergence+issues+for+4FGL), only one remains standing.
It would be very convenient if there existed an interface allowing to retrieve the convergence status of NewMinuit, similar to that for Minuit (below), because NewMinuit is about twice faster than Minuit.
Is that something doable?
Happy 2020,
Jean
import pyLikelihood as pyLike
like = BinnedAnalysis(..., optimizer="Minuit")
As per Jean
Among the three suggestions in my C&A presentation (in bold at https://confluence.slac.stanford.edu/display/SCIGRPS/Convergence+issues+for+4FGL), only one remains standing.
It would be very convenient if there existed an interface allowing to retrieve the convergence status of NewMinuit, similar to that for Minuit (below), because NewMinuit is about twice faster than Minuit.
Is that something doable?
Happy 2020,
Jean
import pyLikelihood as pyLike
like = BinnedAnalysis(..., optimizer="Minuit")
myqual=pyLike.Minuit(like.logLike)
like.fit(covar=True, optObject=myqual)
qual=myqual.getQuality()
or if optObject was not set in the like.fit call
like.fit(covar=True)
quality = pyLike.Minuit.cast(like.optObject).getQuality()
The text was updated successfully, but these errors were encountered: