https://github.com/GPflow/GPflow
Revision 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC, committed by Artem Artemev on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow 2 using tensorflow probabilities. Changes required a few changes across the rest of the codebase, outside of the notebook. * small change to leaf printing function (fix bug, which was preventing printing of composite kernels) * parameters and trainable_parameters now return tuples, not generators, like tf implementation of variables, trainable_variables * tfp.distributions now work with different dtypes (by wrapping of parameters), so now play nicely with gpflow.
1 parent 046b107
Tip revision: 24b5733d161bed633dd5c00c4de3faf4d4ee0322 authored by Eric Hammy on 13 November 2019, 12:27:36 UTC
Migrate MCMC notebook to gpflow2.0 (#1100)
Migrate MCMC notebook to gpflow2.0 (#1100)
Tip revision: 24b5733
File | Mode | Size |
---|---|---|
conditionals | ||
config | ||
covariances | ||
expectations | ||
inducing_variables | ||
kernels | ||
likelihoods | ||
models | ||
optimizers | ||
utilities | ||
__init__.py | -rw-r--r-- | 938 bytes |
base.py | -rw-r--r-- | 6.9 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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