bsfit.nodes.models.utils.get_logl_and_aic¶
- bsfit.nodes.models.utils.get_logl_and_aic(n_fit_params: int, proba_data: numpy.ndarray) dict[source]¶
calculate - log(likelihood) and akaike information criterion
- Parameters
n_fit_params (int) – number of fit parameters
proba_data (np.ndarray) – probability of data
- Returns
-log(likelihod) and akaike information criterion
- Return type
(dict)