locat.wgmms.compute_loss(X, pi, mu, sigma, membership_weight)

locat.wgmms.e_step(X, pi, mu, sigma)

locat.wgmms.train_em(X, sample_weights, mu_init, sigma_init, n_components, n_inits=25, reg_covar=0.0, rtol=1e-06, max_iter=500, seed=1)

locat.wgmms.weighted_gmm_init(X, w, n_c, n_inits)

locat.wgmms.weighted_m_step(X, membership_weight, sample_weights, reg_covar)

locat.wgmms.wgmm(X, raw_weights, n_components, n_inits=1, reg_covar=0.0)