def __init__(self, model_function, setting_values, parameter_samples,
constants):
OptBayesExpt.__init__(self, model_function, setting_values,
parameter_samples, constants)
self.VALUES_PER_MEASUREMENT = 2
self.cost_of_changing_setting = 5.
self.noise_parameter_index = 3
def __init__(self, model_function, setting_values, parameter_samples,
constants):
OptBayesExpt.__init__(self, model_function, setting_values,
parameter_samples, constants)
self.noise_parameter_index = 3
self.sweep_settings = setting_values[0]
self.cost_of_new_sweep = 5.
self.start_stop_subsample = 3
self.start_stop_indices = self._generate_start_stop_indices()
self.start_stop_values = self.sweep_settings[self.start_stop_indices]
def __init__(self):
OptBayesExpt.__init__(self)
def __init__(self, model_function, setting_values, parameter_samples,
constants):
OptBayesExpt.__init__(self, model_function, setting_values,
parameter_samples, constants)
# identify the measurement noise parameter.
self.noise_parameter_index = 3
def __init__(self, model_function, settings, parameters, constants):
OptBayesExpt.__init__(self, model_function, settings,
parameters, constants)