bayespecon._logdet.make_flow_separable_logdet_numpy¶

bayespecon._logdet.make_flow_separable_logdet_numpy(W_sparse, n, method=None, rho_min=-1.0, rho_max=1.0, cheb_order=20, trace_estimator='hutchpp', trace_k=None)[source]¶

Pre-compute numeric logdet data for separable flow models.

Returns a vectorized numpy closure for post-fit Jacobian reconstruction:

\[n\,\log|I_n - \rho_d W| + n\,\log|I_n - \rho_o W|\]

Parameters are aligned with make_flow_separable_logdet() for API symmetry.