https://github.com/GPflow/GPflow
Revision b0ddc6d1632f63632583ea70caca678fce3696f3 authored by st-- on 21 October 2019, 14:19:32 UTC, committed by GitHub on 21 October 2019, 14:19:32 UTC
Adds a notebook that demonstrates how to add inter-domain inducing variables to GPflow without having to touch the core code base, at the example of variational Fourier features (Hensman, Durrande, Solin, JMLR 18 (2018)).
1 parent 33ded03
Tip revision: b0ddc6d1632f63632583ea70caca678fce3696f3 authored by st-- on 21 October 2019, 14:19:32 UTC
Notebook for Variational Fourier Features (#1062)
Notebook for Variational Fourier Features (#1062)
Tip revision: b0ddc6d
File | Mode | Size |
---|---|---|
conditionals | ||
config | ||
covariances | ||
expectations | ||
inducing_variables | ||
kernels | ||
likelihoods | ||
models | ||
optimizers | ||
utilities | ||
__init__.py | -rw-r--r-- | 960 bytes |
base.py | -rw-r--r-- | 6.8 KB |
ci_utils.py | -rw-r--r-- | 964 bytes |
kullback_leiblers.py | -rw-r--r-- | 4.7 KB |
logdensities.py | -rw-r--r-- | 3.0 KB |
mean_functions.py | -rw-r--r-- | 5.8 KB |
probability_distributions.py | -rw-r--r-- | 1.7 KB |
quadrature.py | -rw-r--r-- | 7.7 KB |
versions.py | -rw-r--r-- | 177 bytes |
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