bsfit.nodes.models.utils.do_bayes_inference

bsfit.nodes.models.utils.do_bayes_inference(k_llh: float, prior_mode: numpy.ndarray, k_prior: float, stim_mean_space: numpy.ndarray, llh: numpy.ndarray, learnt_prior: numpy.ndarray, cardinal_prior: numpy.ndarray)

do bayesian inference

Parameters

• k_llh (float) – likelihood concentration

• prior_mode (np.ndarray) – the mode of the prior

• k_prior (float) – the concentration of the prior

• stim_mean_space (np.ndarray) – the stimulus feature space

• llh (np.ndarray) – likelihood probability densities

• learnt_prior (np.ndarray) – learnt prior

• cardinal_prior (np.ndarray) – cardinal prior

Returns

posterior probability densities

Return type

(np.ndarray)