scipy_optimizer¶
-
class
pyhf.optimize.opt_scipy.
scipy_optimizer
(*args, **kwargs)¶ Bases:
pyhf.optimize.mixins.OptimizerMixin
Optimizer that uses
scipy.optimize.minimize()
.-
__init__
(*args, **kwargs)[source]¶ Initialize the scipy_optimizer.
See
pyhf.optimize.mixins.OptimizerMixin
for other configuration options.- Parameters
tolerance (
float
) – Tolerance for termination. See specific optimizer for detailed meaning. Default isNone
.solver_options (
dict
) – additional solver options. Seescipy.optimize.show_options()
for additional options of optimization solvers.
Attributes
-
maxiter
¶
-
name
¶
-
solver_options
¶
-
tolerance
¶
-
verbose
¶
Methods
-
_minimize
(minimizer, func, x0, do_grad=False, bounds=None, fixed_vals=None, options={})[source]¶ Same signature as
scipy.optimize.minimize()
.- Minimizer Options:
maxiter (
int
): Maximum number of iterations. Default is100000
.verbose (
bool
): Print verbose output during minimization. Default isFalse
.method (
str
): Minimization routine. Default is'SLSQP'
.tolerance (
float
): Tolerance for termination. See specific optimizer for detailed meaning. Default isNone
.solver_options (
dict
): additional solver options. Seescipy.optimize.show_options()
for additional options of optimization solvers.
- Returns
the fit result
- Return type
fitresult (scipy.optimize.OptimizeResult)
-