def __init__(self, api_config, **kwargs):
"""Build wrapper class to use an optimizer in benchmark.
Parameters
----------
api_config : dict-like of dict-like
Configuration of the optimization variables. See API description.
"""
AbstractOptimizer.__init__(self, api_config)
self.opt1 = HyperoptOptimizer(api_config, **kwargs)
self.opt2 = ScikitOptimizer(api_config)
class SKHyperOptimizer(AbstractOptimizer):
def __init__(self, api_config, **kwargs):
"""Build wrapper class to use an optimizer in benchmark.
Parameters
----------
api_config : dict-like of dict-like
Configuration of the optimization variables. See API description.
"""
AbstractOptimizer.__init__(self, api_config)
self.opt1 = HyperoptOptimizer(api_config, **kwargs)
self.opt2 = ScikitOptimizer(api_config)
def suggest(self, n_suggestions=1):
t_out = self.opt1.suggest(n_suggestions)
s_out = self.opt2.suggest(n_suggestions)
N = len(t_out) // 2
return t_out[:N] + s_out[N:]
def observe(self, X, y):
self.opt1.observe(X, y)
self.opt2.observe(X, y)