def _differential_evolution(func, x0, **kwds):
"""
A wrapper for differential_evolution that can be used with scipy.minimize
"""
kwargs = dict(args=(), strategy='best1bin', maxiter=None, popsize=15,
tol=0.01, mutation=(0.5, 1), recombination=0.7, seed=None,
callback=None, disp=False, polish=True,
init='latinhypercube')
for k, v in kwds.items():
if k in kwargs:
kwargs[k] = v
return scipy_diffev(func, kwds['bounds'], **kwargs)
def _differential_evolution(func, x0, **kwds):
"""
A wrapper for differential_evolution that can be used with scipy.minimize
"""
kwargs = dict(args=(), strategy='best1bin', maxiter=None, popsize=15,
tol=0.01, mutation=(0.5, 1), recombination=0.7, seed=None,
callback=None, disp=False, polish=True,
init='latinhypercube')
for k, v in kwds.items():
if k in kwargs:
kwargs[k] = v
return scipy_diffev(func, kwds['bounds'], **kwargs)