tfp.experimental.sts_gibbs.get_seasonal_latents_shape

Computes the shape of seasonal latents.

tfp.experimental.sts_gibbs.get_seasonal_latents_shape(
    timeseries, model, num_chains=()
)

Args
`timeseries`	Timeseries that is being modeled. Used to extract the timeseries length and batch shape.
`model`	The `sts.Sum` model that the seasonal components will be found in. Must be a Gibbs-samplable model built with `build_model_for_gibbs_fitting`.
`num_chains`	Optional int to indicate the number of parallel MCMC chains. Default to an empty tuple to sample a single chain.

Returns
A shape list.

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Last updated 2023-11-21 UTC.

Args