minuit_optimizer

class pyhf.optimize.opt_minuit.minuit_optimizer(*args, **kwargs)

Bases: pyhf.optimize.mixins.OptimizerMixin

Optimizer that minimizes via iminuit.Minuit.migrad().

Attributes

errordef

maxiter

name

steps

strategy

tolerance

verbose

Methods

__init__(*args, **kwargs)

Create iminuit.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 called UP in the MINUIT docs.

Parameters

• errordef (float) – See minuit docs. Default is 1.0.

• steps (int) – Number of steps for the bounds. Default is 1000.

• strategy (int) – See iminuit.Minuit.strategy. Default is None.

• tolerance (float) – tolerance for termination. See specific optimizer for detailed meaning. Default is 0.1.