minuit_optimizer¶
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class
pyhf.optimize.opt_minuit.
minuit_optimizer
(*args, **kwargs)[source]¶ Bases:
pyhf.optimize.mixins.OptimizerMixin
Optimizer that uses iminuit.Minuit.migrad.
Attributes
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errordef
¶
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maxiter
¶
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name
¶
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steps
¶
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verbose
¶
Methods
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__init__
(*args, **kwargs)[source]¶ Create MINUIT Optimizer.
Note
errordef
should be 1.0 for a least-squares cost function and 0.5 for negative log-likelihood function. See page 37 of http://hep.fi.infn.it/minuit.pdf. This parameter is sometimes calledUP
in theMINUIT
docs.- Parameters
errordef (float) – See minuit docs. Default is 1.0.
steps (int) – Number of steps for the bounds. Default is 1000.
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