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Revision Author Date Message Commit Date
5c69240 changed behaviour of multisample kernels. Now cov(SND,SMD) assumes that the samples are paired over S and returns SNM (rather than SNSM), and cov(ND,SMD) is SNM (rather than NSM) 29 January 2019, 16:10 UTC
00f64f5 support for q_mu with leading dimensions (for q_sqrt=None case) 27 January 2019, 18:38 UTC
c175fb2 Fix broadcasting test 13 January 2019, 21:10 UTC
76b33a3 Merge branch 'develop' into vincent/broadcasting-mixing-conditional 09 January 2019, 12:18 UTC
06d72b0 Address PR comments 08 January 2019, 14:10 UTC
bcf4250 broadcasting mixing sample conditional 08 January 2019, 13:58 UTC
27f2753 Fix bug in leading dims sample_conditional 08 January 2019, 11:46 UTC
a5e1796 Merge branch 'vincent/broadcasting-mixing-conditional' of github.com:GPflow/GPflow into vincent/broadcasting-mixing-conditional 07 January 2019, 09:51 UTC
071fda5 Work on sampling broadcasting conditionals 07 January 2019, 09:50 UTC
57f4c14 Change github issue templates. 06 January 2019, 00:57 UTC
c43d3f5 Issue templates 06 January 2019, 00:46 UTC
b855848 Merge branch 'develop' into vincent/broadcasting-mixing-conditional 24 December 2018, 19:21 UTC
d8fc9c1 CircleCI config. Add version to workflow 23 December 2018, 00:02 UTC
880c35d CircleCI status badge 22 December 2018, 23:49 UTC
27ff38c Add names to run commands for circleci 22 December 2018, 16:38 UTC
111a93f Merge branch 'develop' into vincent/broadcasting-mixing-conditional 21 December 2018, 13:27 UTC
d5be4ee CircleCI instead of TravisCI (#892) 21 December 2018, 13:15 UTC
04006b7 Fix bug in sample_conditional 21 December 2018, 09:22 UTC
635fcc1 Work on broadcasting samples 20 December 2018, 17:15 UTC
a1ded81 Apply suggestions from code review 19 December 2018, 10:44 UTC
815af20 clean-up 18 December 2018, 15:41 UTC
26e638d Fix full_cov of broadcasting mixing conditional 18 December 2018, 15:15 UTC
ddd25cd Change broadcasting behaviour kernels 18 December 2018, 14:12 UTC
0af98cc Test for broadcasting mixing kernels 17 December 2018, 20:21 UTC
30df244 test for mixing latent gps 17 December 2018, 17:18 UTC
88673b8 Merge branch 'develop' into vincent/broadcasting-mixing-conditional 17 December 2018, 10:56 UTC
7f0cac1 Configure travis to work with jobs (#888) 03 December 2018, 00:36 UTC
856193d Travis configuration. Remove pip -y option 02 December 2018, 08:53 UTC
132a194 Create conda env with yes option 02 December 2018, 08:43 UTC
44090f2 PIP install with auto yes 02 December 2018, 08:28 UTC
0bc4b16 Travis configuration (#887) 02 December 2018, 00:50 UTC
8675c7a Added separate test file for broadcasting conditionals 30 November 2018, 19:51 UTC
fdb8efb Support TensorFlow 1.12 (#877) 28 November 2018, 19:37 UTC
757686c Mixing latent gp allows for leading dims 28 November 2018, 13:46 UTC
d5e7bc1 broadcasting base conditional with Inducing Point features 27 November 2018, 20:49 UTC
052841e Allow for broadcasting in scaled_square_dist 27 November 2018, 13:34 UTC
18fa159 Debug Travis 24 November 2018, 22:56 UTC
0ab60c3 Debug Travis 24 November 2018, 22:42 UTC
66f5287 Remove printing in travis.sh 24 November 2018, 12:12 UTC
62132f8 Print travis information 24 November 2018, 12:05 UTC
6b4a3ab Add travis script 24 November 2018, 00:21 UTC
84abb1d Merge branch 'develop' of github.com:GPflow/GPflow into develop 23 November 2018, 16:43 UTC
5616e65 Travis script (#884) * Travis script for running notebook tests only in develop and master branches. 23 November 2018, 14:11 UTC
db4f7ed Merge remote-tracking branch 'origin' into vincent/broadcasting-mixing-conditional 23 November 2018, 13:12 UTC
cada28a Merge branch 'develop' of github.com:GPflow/GPflow into develop 22 November 2018, 17:43 UTC
4413278 put the extra 0 back on the bernoulli mc test 21 November 2018, 19:39 UTC
84da5d5 reduce number of bernoulli mc points by factor 10 travis seems to be crashing on this test 21 November 2018, 19:02 UTC
e14390c commented out test that breaks 1.12 Something has changed with `tf.is_initialized` 21 November 2018, 18:34 UTC
4fb54c1 corrected other sample_conditional mean 21 November 2018, 18:04 UTC
a368ac9 updated travis version of tensorflow 21 November 2018, 16:58 UTC
cef14d9 updated tensorflow version to 1.12 21 November 2018, 16:42 UTC
f496409 deleted commented lines 21 November 2018, 16:23 UTC
8d6e90b test broadcasting for 2 and 3 leading dims 21 November 2018, 16:17 UTC
fa1c151 broadcasting conditionals 21 November 2018, 16:14 UTC
14423f0 Compute SGPR qu's autoflow method (#879) 14 November 2018, 20:53 UTC
9562b9b Merge branch 'develop' of github.com:GPflow/GPflow into develop 14 November 2018, 14:20 UTC
abd8587 Remove `.fixed` property from Parameter class. (#873) 06 November 2018, 14:03 UTC
0c3e151 Resolve merge conflict. 19 October 2018, 16:42 UTC
703ccb1 Merge branch 'develop' of github.com:GPflow/GPflow into develop 19 October 2018, 16:42 UTC
fe82d3f Release version 1.3.0 (#870) 19 October 2018, 16:38 UTC
377ff5f Merge branch 'develop' of github.com:GPflow/GPflow into develop 19 October 2018, 16:05 UTC
9587e10 Change release version to 1.3.0 19 October 2018, 15:32 UTC
80f6d6f Release v1.3.0 (#869) 19 October 2018, 13:20 UTC
63975b1 Release notes 1.3.0 (#868) 19 October 2018, 12:44 UTC
120b128 Update RELEASE.md 19 October 2018, 11:05 UTC
1707d7b Merge branch 'develop' of github.com:GPflow/GPflow into develop 06 October 2018, 18:12 UTC
3935d6b Merge pull request #854 from GPflow/hughsalimbeni-patch-1 added link to orthogonally decoupled repo 28 September 2018, 16:00 UTC
185cc8f Merge branch 'develop' into hughsalimbeni-patch-1 27 September 2018, 10:14 UTC
e8ba02e Fixing the problem with monitoring ScipyOptimizer (#856) Now lets the monitor context keep track of the optimiser to update optimiser's variables - necessary for obtaining correct traces (of hyperparameters, log-marginal likelihoods etc.) when using ScipyOptimizer. 27 September 2018, 10:14 UTC
f8deb4c clean up GPR docstrings (#859) 27 September 2018, 09:24 UTC
1196600 Merge branch 'develop' of github.com:GPflow/GPflow into develop 20 September 2018, 10:34 UTC
bb3d1f4 Clean up notebooks and documentation (#849) Minor code changes: - adds rich representation to Parameter(ized) objects so `m.as_pandas_table()` can be replaced by `m` for pretty-printing in jupyter notebooks - updates priors to have prettier printing (and more value checks) Notebooks - coreg_demo.ipynb: clean-up, typo fixes - models.ipynb: clean-up, now actually consistent with current (gpflow-1.0) architecture - kernels.ipynb: clean-up Documentation - updates various links in README.md (JH's webpage, readthedocs, tensorflow installation) - adds all currently existing notebooks to the documentation (under new section "advanced tutorials") Stand-alone .py demo scripts in doc/source/notebooks/ - makes them runnable with current gpflow version - adds "unmaintained" warning header 19 September 2018, 13:48 UTC
2a16f04 added link to orthogonally decoupled repo pending arxiv/nips 2018 publication 16 September 2018, 16:30 UTC
83631b7 Update docs_require.txt to supported tensorflow version (#853) 14 September 2018, 16:01 UTC
b94500b Merge branch 'develop' of github.com:GPflow/GPflow into develop 14 September 2018, 15:35 UTC
fa20322 Docs use supported tensorflow version 14 September 2018, 15:34 UTC
460afc7 Sample conditional returns mean and var as well as samples, and generates more than one sample (#836) 12 September 2018, 19:01 UTC
dc0b987 Merge branch 'develop' of github.com:GPflow/GPflow into develop 09 September 2018, 22:18 UTC
c8b86d3 New line in docstrings of Stationary kernels 09 September 2018, 22:18 UTC
2475891 fix active_dims=slice (#840) Fixes #839 05 September 2018, 15:12 UTC
12c7656 add link to github.com/Joshuaalbert/heterogp in lieu of #735 (#773) * add link to github.com/Joshuaalbert/heterogp in lieu of #735 * remove link to gpflow-monitor now that it's in GPflow itself, ok'd by @markvdw 31 August 2018, 17:57 UTC
a2afcee RBF Cross-Covariance (#754) Adds RBF cross covariance in expectations. Previous implementation defaulted to quadrature expectations for cross co-variance when kernel and feature were not the same. 30 August 2018, 09:23 UTC
0f6a5d3 Added MixedKernelSeparateMof (#830) Adds a new feature MixedKernelSeparateMof (SharedIndependentMof subclass) for the most efficient code together with SeparateMixedMok. 29 August 2018, 22:11 UTC
fd6beaa Support broadcasting (#829) Modifies the kernels and conditionals to support broadcasting over (arbitrarily many) extra leading dimensions, similar to most of the tensorflow ops. So e.g. kern.K(X) now supports X being shape `[S, ..., T, N, D]`, and returns `[S, ..., T, N, N]` 22 August 2018, 14:13 UTC
af89b6d Cleaning up stationary kernel implementations (#827) Stationary kernels are now implemented by K_r2 as a function of the scaled square distance or K_r as a function of the scaled Euclidean distance, see the docstrings for details. scaled_square_dist and scaled_euclid_dist are deprecated, and square_dist and euclid_dist are removed. RBF is now an alias for SquaredExponential. 22 August 2018, 10:26 UTC
51e17ae Merge branch 'master' of http://github.com/GPflow/GPflow into develop 17 August 2018, 21:00 UTC
2c4cf39 Adding widedeepnetworks repository link (#825) * Adding repository link * Correction to table 17 August 2018, 19:05 UTC
66aa1f9 Extended ndiagquad docstrings (#823) 16 August 2018, 10:30 UTC
e41d8f3 Bugfix control dependencie in likelihoods (#821) Fixes a bug with control dependencies in likelihoods. 13 August 2018, 23:08 UTC
d9624ae remove references to six module (#816) GPflow no longer supports python 2 and hence references to the six module are redundant. 06 August 2018, 09:49 UTC
54a276a Parameter.trainable was not properly a property, and param.trainable = False did not work. Fixed by this commit. (#814) 19 July 2018, 13:19 UTC
f746253 Fix bug in ndiag_mc re multi-dimensional kwargs (#813) 17 July 2018, 12:58 UTC
1db48f3 Update version.py file to 1.2.0 (#812) 11 July 2018, 12:50 UTC
707b195 Release notes 1.2.0 (#810) 11 July 2018, 11:21 UTC
1ff0a87 Optimizer's step_callback accepts step number (#811) 11 July 2018, 10:58 UTC
b78c1a8 Fixed discovered problem with the monitor, in particular with TensorBoard tasks (#807) 10 July 2018, 11:13 UTC
495b6eb Softmax fix (#804) * PEP8. * PEP8. * Added `SoftMax.conditional_variance()`. * SoftMax test now tests against `Bernoulli` likelihood, including `predict_mean_and_var`. * super * consistency * test comment * bugfix * fix tests 28 June 2018, 12:59 UTC
45fed42 Big re-work of monitor (#792) * New monitor initial commit * Fixed the monitor notebook (checking that the saving directory exists) * Addressed PR comments. * refactored environment * Attempt to avoid using X server when testing the monitor. * Added few more tests. 28 June 2018, 11:57 UTC
1851e0d Monte-Carlo likelihoods (#799) * add @markvdw's stochastic likelihood, including the softmax * initial MC likelihood * remove MonteCarloLikelihood base class from tests * fix test * var of predict_mean_and_var and predict_density for MC likelihood * factor out MC sampling * add comment for variance bias * add tests * fixes * use same integration as for GH quadrature in MonteCarloLikelihood.predict_mean_and_var() * . * increase rtol * move to proper use of super() * move MC integration to quadrature module, similar to ndiagquad * seed to make test deterministic * add Assert for shape of Y * tidy up studentT likelihood * fix for heteroskedastic likelihoods -- requires logp to always call the Y argument Y * fix doc * add assert and equivalence tests for SoftMax * remove erroneously added file * rename "probit" to inv_probit (which is what it actually is) * add assert for num_classes to SoftMax * fix whitespace * Update RELEASE.md * Update RELEASE.md 27 June 2018, 11:19 UTC
1b0f4b0 Minibatch shape is unknow by default (#704) 26 June 2018, 10:18 UTC
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