params_size_independent_normal

event_size

<p>number of <code>params</code> needed to create an IndependentNormal distribution</p>

Interface to 'TensorFlow Probability', a 'Python' library built on 'TensorFlow'
that makes it easy to combine probabilistic models and deep learning on modern hardware ('TPU', 'GPU').
'TensorFlow Probability' includes a wide selection of probability distributions and bijectors, probabilistic layers,
variational inference, Markov chain Monte Carlo, and optimizers such as Nelder-Mead, BFGS, and SGLD.

Sigrid Keydana

tfprobability

Interface to 'TensorFlow Probability'

Daniel Falbel

Kevin Kuo

 RStudio

params_size_independent_normal function

number of <code>params</code> needed to create an IndependentNormal distribution — params_size_independent_normal

number of <code>params</code> needed to create an IndependentNormal distribution

params_size_independent_normal: number of `params` needed to create an IndependentNormal distribution

Description

Usage

Arguments

Value