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
tests_requirements.txt
pytest>=3.5.0
pytest-random-order
# Notebook tests:
nbformat
nbconvert
ipykernel
jupyter_client
matplotlib
sklearn # mixture-density-network
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