params_size_mixture_normal

number of <code>params</code> needed to create a MixtureNormal distribution

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.

Tomasz Kalinowski

tfprobability

Interface to 'TensorFlow Probability'

Sigrid Keydana

Daniel Falbel

Kevin Kuo

RStudio 

params_size_mixture_normal function

<dl><dt>num_components</dt>
<dd>Number of component distributions in the mixture distribution.</dd>
<dt>event_shape</dt>
<dd>Number of parameters needed to create a single component distribution.</dd></dl>

Arguments

number of params needed to create a MixtureNormal distribution — params_size_mixture_normal

<dl>

<dt>num_components</dt>
<dd>Number of component distributions in the mixture distribution.</dd>


<dt>event_shape</dt>
<dd>Number of parameters needed to create a single component distribution.</dd>

</dl>

params_size_mixture_normal: number of `params` needed to create a MixtureNormal distribution

Description

Usage

Value

Arguments