All of them are checked whichever estimator was asked for, so n_bins < 2
is an error even under "linear_gaussian", which ignores it. A value that
cannot build a network is a mistake in the call whether or not this run
would have read it. NSF needs at least 2 bins: its per-dimension spline
parameterization is K bin widths, K bin heights and K - 1 interior
derivatives, and K = 1 leaves no interior derivative to estimate.
Arguments
MDN settings: number of mixture components (default 10, as in
sbi) and a vector of hidden-layer widths.- n_transforms
MAF/NSF setting: number of stacked autoregressive transforms (default 5, as in
sbi).- n_bins, tail_bound
NSF settings: number of spline bins per transform (at least 2, since the spline needs an interior derivative to fit) and the half-width of the interval the spline acts on (outside it the transform is the identity).