functional.SVIFit
The result of fitting a forecasting model with SVI.
Usage
functional.SVIFit(
guide,
params,
losses,
)Parameter Attributes
guide: AutoGuideparams: dict[str, Array]losses: Array
Attributes
guide: AutoGuide-
The fitted variational guide.
params: dict[str, Array]-
The learned variational parameters.
losses: Array-
The ELBO loss per SVI step (shape
(num_steps,)).