On Mon, Jul 26, 2010 at 10:05 PM, Alan G Isaac <ais...@american.edu> wrote: > But I am still confused about the use case. > What is the scalar- (or 1d-array-) returning procedure > invokedbefore taking the determinant? >
Recently I ran into this trying to make the log-likelihood of a multivariate and univariate autoregressive process use the same function. One has log(sigma_scalar) and one calls for logdet(Sigma_matrix). I also ran in to again yesterday working on the Kalman filter, depending on the process being modeled and how the user writes a function if the needed coefficient arrays depend on parameters. To be more general, I have to put in atleast_2d, even though these checks are really in slogdet. Skipper _______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
