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)).
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- b0ddc6d1632f63632583ea70caca678fce3696f3
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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
tests_requirements.txt
pytest>=3.5.0
pytest-random-order
# Notebook tests:
nbformat
nbconvert
ipykernel
jupyter_client
matplotlib
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