Searched refs:E_xxTs (Results 1 – 2 of 2) sorted by relevance
| /dports/math/py-ssm/ssm-0.0.1/ssm/ |
| H A D | stats.py | 207 def expected_multivariate_normal_logpdf(E_xs, E_xxTs, E_mus, E_mumuTs, Sigmas, Ls=None): argument
236 assert E_xxTs.shape[-2] == E_xxTs.shape[-1] == D
268 As = E_xxTs - 2 * E_xmuT + E_mumuTs
368 def expected_multivariate_studentst_logpdf(E_xs, E_xxTs, E_mus, E_mumuTs, Sigmas, nus, Ls=None): argument
397 assert E_xxTs.shape[-2] == E_xxTs.shape[-1] == D
421 As = E_xxTs - 2 * E_xs[..., :, None] * E_mus[..., None, :] + E_mumuTs # (..., D, D)
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| H A D | preprocessing.py | 78 E_xxTs = [states.E_ZZT for states in fa.data_list]
79 Cov_xs = [E_xxT - E_x[:, :, None] * E_x[:, None, :] for E_x, E_xxT in zip(E_xs, E_xxTs)]
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