mGPLVM
Getting Started
Install
Examples
(Bayesian) GPFA
Supervised learning and decoding with manifold GPLVMs
Applying mGPLVM to synthetic neural data generated from circular latents
API
mgplvm package
Subpackages
Submodules
mgplvm.base module
mgplvm.dists module
mgplvm.inducing_variables module
mgplvm.likelihoods module
mgplvm.utils module
Module contents
mGPLVM
»
mgplvm package
»
mgplvm.inducing_variables module
View page source
mgplvm.inducing_variables module
class
mgplvm.inducing_variables.
InducingPoints
(
n
,
d
,
n_z
,
parameterise
=
None
,
z
=
None
)
[source]
Bases:
mgplvm.base.Module
property
prms
training
:
bool