def bic(self):
"""
returns the bayesian information criterion of the model.
:return: bic value, float
"""
num_data = self.likelihoodModule.num_data
num_param_nonlinear = self.param_class.num_param()[0]
num_param_linear = self.param_class.num_param_linear()
num_param = num_param_nonlinear + num_param_linear
bic = analysis_util.bic_model(self.best_fit_likelihood, num_data,num_param)
return bic
def test_bic_model(self):
bic = analysis_util.bic_model(0, np.e, 1)
assert bic == 1
