https://github.com/GPflow/GPflow
Revision f3c511060ce62072a34a50319237d28b82d10448 authored by Vincent Dutordoir on 27 August 2020, 11:22:49 UTC, committed by GitHub on 27 August 2020, 11:22:49 UTC
* Update pull request template (#1510)

Clarify template to make it easier for contributors to fill in relevant information.

* Temporary workaround for tensorflow_probability dependency issue (#1522)

* pin cloudpickle==1.3.0 as temporary workaround for tensorflow/probability#991 to unblock our build (to be reverted once fixed upstream)

* Update readme with new project using GPflow (#1530)

* fix bug in varying_noise notebook (#1526)

* Fix formatting in docs (intro.md) and restore link removed by #1498 (#1520)

* pin tensorflow<2.3 tensorflow-probability<0.11 (#1537)

* Quadrature Refactoring (#1505)

* WIP: quadrature refactoring

* Removing old ndiagquad code

* deleted test code

* formatting and type-hint

* merge modules

* black formatting

* formatting

* solving failing tests

* fixing failing tests

* fixes

* adapting tests for new syntax, keeping numerical behavior

* black formatting

* remove printf

* changed code for compiled tf compatibility

* black

* restored to original version

* undoing changes

* renaming

* renaming

* renaming

* reshape kwargs

* quadrature along axis=-2, simplified broadcasting

* black

* docs

* docs

* helper function

* docstrings and typing

* added new and old quadrature equivalence tests

* black

* Removing comments

Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* Typo

Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* notation

Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* reshape_Z_dZ return docstring fix

* FIX: quad_old computed with the ndiagquad_old

Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* more readable implementation

Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* tf.ensure_shape added

* removed ndiagquad

* removed ndiagquad

* Revert "removed ndiagquad"

This reverts commit 7bb0e9f1e0f2b0e225a2b8a5b3092c4c2f24ba91.

* FIX: shape checking of dZ

* Revert "removed ndiagquad"

This reverts commit 8e235241a697696e361158c30ff9aa9b4cc69f8a.

Co-authored-by: Gustavo Carvalho <gustavo.carvalho@delfosim.com>
Co-authored-by: ST John <st@prowler.io>
Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* Add base_conditional_with_lm function (#1528)

* Added base_conditional_with_lm function, which accepts Lm instead of Kmm

Co-authored-by: Neil Ferguson <neil@prowler.io>
Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>
Co-authored-by: st-- <st--@users.noreply.github.com>

* Fixed separate_independent_conditional to correctly handle q_sqrt=None. (#1533)

* Fixed separate_independent_conditional to correctly handle q_sqrt=None.

Co-authored-by: Aidan Scannell <scannell.aidan@gmail.com>
Co-authored-by: st-- <st--@users.noreply.github.com>

* Bump version numbers to 2.1.0. (#1544)

* Re-introduce pytest-xdist (#1541)

Enables pytest-xdist for locally running tests (`make test`) on multiple cores in parallel.

* check dependency versions are valid on CI (#1536)

* Update to not use custom image (#1545)

* Update to not use custom image

* Add test requirements

* Update parameter to be savable (#1518)

* Fix for quadrature failure mode when autograph was set to False (#1548)

* Fix and test

* Change shape of quadrature tensors for better broadcasting (#1542)

* using the first dimension to hold the quadrature summation

* adapting ndiagquad wrapper

* Changed bf for bX in docstrings

Co-authored-by: Gustavo Carvalho <gustavo.carvalho@delfosim.com>
Co-authored-by: st-- <st--@users.noreply.github.com>
Co-authored-by: Vincent Dutordoir <dutordoirv@gmail.com>

* Update min TFP supported version to 0.10 (#1551)

* Broadcasting constant and zero mean function (#1550)

* Broadcasting constant and zero mean function

* Use rank instead of ndim

Co-authored-by: st-- <st--@users.noreply.github.com>
Co-authored-by: joelberkeley-pio <joel.berkeley@prowler.io>
Co-authored-by: gustavocmv <47801305+gustavocmv@users.noreply.github.com>
Co-authored-by: Gustavo Carvalho <gustavo.carvalho@delfosim.com>
Co-authored-by: ST John <st@prowler.io>
Co-authored-by: Neil Ferguson <nfergu@users.noreply.github.com>
Co-authored-by: Neil Ferguson <neil@prowler.io>
Co-authored-by: Aidan Scannell <as12528@my.bristol.ac.uk>
Co-authored-by: Aidan Scannell <scannell.aidan@gmail.com>
Co-authored-by: Sandeep Tailor <s.tailor@insysion.net>
Co-authored-by: Artem Artemev <art.art.v@gmail.com>
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Tip revision: f3c511060ce62072a34a50319237d28b82d10448 authored by Vincent Dutordoir on 27 August 2020, 11:22:49 UTC
Release 2.1.0 (#1552)
Tip revision: f3c5110
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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