| foceiGradPooledSetupLoad_ | R Documentation |
'est="vae"' with 'nonMuTheta="grad"' evaluates the analytic outer gradient once per M-step, at its own theta/eta/omega, and has no fit env to hang the setup on. This installs the setup once so 'foceiGradPooledDirect_()' can be called repeatedly.
foceiGradPooledSetupLoad_(st)
st |
setup list from '.foceiGradPooledSetup()' |
TRUE if the setup describes a shape the C++ gradient handles
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.