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Mostly convenience, since the majority of use-cases with a univariate outcome would be a single set of predictors (e.g., pointwise log-likelihood), so a real y and row_vector x combo would be more common than a real y and matrix x
The current
normal_id_glm
signatures for use with a univariate outcomey
only supportmatrix
type inputs forx
, for example:For pointwise usage, it would be great to add corresponding
row_vector
signatures:As the current signatures require calling
to_matrix()
at each iteration:The text was updated successfully, but these errors were encountered: