https://github.com/GPflow/GPflow
Revision a186ca58213bdd95c23f84f986d49efc5c9535fe authored by Artem Artemev on 22 October 2019, 16:38:10 UTC, committed by Sergio Pascual on 22 October 2019, 16:38:10 UTC
* Rewrite get_leaf_components and deepcopy_components with traverse Write/update tests for both * Tape should compute gradients outside context * Explanation of the test * Some changes in convolutional notebook * Update tests/test_deepcopy.py Co-Authored-By: st-- <st--@users.noreply.github.com> * Reorganising recursion on traverse * Update tests/test_deepcopy.py Co-Authored-By: st-- <st--@users.noreply.github.com> * Update tests/test_deepcopy.py Co-Authored-By: st-- <st--@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Update gpflow/utilities/utilities.py Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com> * Separating deepcopy_components from clear_cache_bijectors * Remove ListWrapper and _DictWrapper Co-Authored-By: Eric Hammy <6815729+condnsdmatters@users.noreply.github.com>
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Tip revision: a186ca58213bdd95c23f84f986d49efc5c9535fe authored by Artem Artemev on 22 October 2019, 16:38:10 UTC
Traverse function for DAG (tf.Module) structures (#1108)
Traverse function for DAG (tf.Module) structures (#1108)
Tip revision: a186ca5
GLOSSARY.md
## Glossary
GPflow does not always follow standard Python naming conventions,
and instead tries to apply the notation in the relevant GP papers.\
The following is the convention we aim to use in the code.
---
<dl>
<dt>GPR</dt>
<dd>Gaussian process regression</dd>
<dt>SVGP</dt>
<dd>stochastic variational inference for Gaussian process models</dd>
<dt>Shape constructions [..., A, B]</dt>
<dd>the way of describing tensor shapes in docstrings and comments. Example: <i>[..., N, D, D]</i>, this is a tensor with an arbitrary number of leading dimensions indicated using the ellipsis sign, and the last two dimensions are equal</dd>
<dt>X</dt>
<dd>(and variations like Xnew) refers to input points; always of rank 2, e.g. shape <i>[N, D]</i>, even when <i>D=1</i></dd>
<dt>Y</dt>
<dd>(and variations like Ynew) refers to observed output values, potentially with multiple output dimensions; always of rank 2, e.g. shape <i>[N, P]</i>, even when <i>P=1</i></dd>
<dt>Z</dt>
<dd>refers to inducing points</dd>
<dt>M</dt>
<dd>stands for the number of inducing features (e.g. length of Z)</dd>
<dt>N</dt>
<dd>stands for the number of data or minibatch size in docstrings and shape constructions</dd>
<dt>P</dt>
<dd>stands for the number of output dimensions in docstrings and shape constructions</dd>
<dt>D</dt>
<dd>stands for the number of input dimensions in docstrings and shape constructions</dd>
</dl>
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