https://github.com/GPflow/GPflow

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f3154bf Merge branch 'develop' into hughsalimbeni-broadcasting-conditional 03 December 2018, 00:36 UTC
7f0cac1 Configure travis to work with jobs (#888) 03 December 2018, 00:36 UTC
897112b Merge branch 'develop' into hughsalimbeni-broadcasting-conditional 02 December 2018, 08:54 UTC
856193d Travis configuration. Remove pip -y option 02 December 2018, 08:53 UTC
8d09d5e Merge branch 'develop' into hughsalimbeni-broadcasting-conditional 02 December 2018, 08:45 UTC
132a194 Create conda env with yes option 02 December 2018, 08:43 UTC
4daba39 Merge branch 'develop' into hughsalimbeni-broadcasting-conditional 02 December 2018, 08:29 UTC
44090f2 PIP install with auto yes 02 December 2018, 08:28 UTC
2aa346b Merge branch 'develop' into hughsalimbeni-broadcasting-conditional 02 December 2018, 01:37 UTC
0bc4b16 Travis configuration (#887) 02 December 2018, 00:50 UTC
61b3fc0 merged with changes from github 29 November 2018, 14:10 UTC
d19a635 uncomment test 29 November 2018, 14:09 UTC
997e210 tidy up docs 29 November 2018, 13:12 UTC
706cabb Update gpflow/conditionals.py Co-Authored-By: hughsalimbeni <hughsalimbeni@gmail.com> 29 November 2018, 12:38 UTC
5841a87 remove commented lines 29 November 2018, 12:36 UTC
bd2d257 merged develop 29 November 2018, 12:00 UTC
fdb8efb Support TensorFlow 1.12 (#877) 28 November 2018, 19:37 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
c71d1a9 merged with vicent/update_tf112 23 November 2018, 09:58 UTC
c1c13eb testing git 23 November 2018, 09:41 UTC
31460d2 Merge branch 'hughsalimbeni-broadcasting-conditional' of https://github.com/GPflow/GPflow into hugh-broadcasting-conditional 23 November 2018, 09:38 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
01206e1 Merge branch 'master' of https://github.com/GPflow/GPflow into hugh-broadcasting-conditional 21 November 2018, 16:04 UTC
bd6c66d broadcasting conditional and small fix to sample full cov 21 November 2018, 15:48 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
205f19c Update travis to use TF 1.12 09 November 2018, 10:47 UTC
abd8587 Remove `.fixed` property from Parameter class. (#873) 06 November 2018, 14:03 UTC
426e58b Update to TF 1.12rc2 06 November 2018, 10:33 UTC
f0901eb Broadcasting mean_functions 06 November 2018, 10:32 UTC
b299b22 Removed {np/tf}_types 05 November 2018, 12:27 UTC
ec37ca7 Simplify broadcasting support in Periodic kernel 02 November 2018, 18:03 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
9d23839 Notebook to demonstrate advanced usage such as combining GP with Neural Network (#712) * added notebook * added vanilla conv net accuracy * Tidy up notebook * ran notebook * ran notebook #2 * add untested notebooks to test_notebooks * fix bug in natural_gradients notebook * add nb_niter and nb_range to only run a small number of iterations in continuous integration notebook tests * make advanced_usage.ipynb use nb_iter() * don't add natural_gradients.ipynb and upper_bound.ipynb notebook tests in this PR * make advanced_usage run faster in CI * clean up advanced_usage * Update test_notebooks.py * fix notebook_niter * missing input_dim for CI * update notebook * another reset_default_graph_and_session call 20 June 2018, 14:59 UTC
3a16991 Removed jitter in nat grads (#768) 19 June 2018, 15:00 UTC
61088fd Speed up notebooks (#789) Notebooks are slow to execute. Additional utility functions help to detect where notebook are run and control number of iterations (optimization, standard loops and cetera), therefore minimizing spent time on running notebook integration tests. 19 June 2018, 13:19 UTC
bb08f22 Multi-output conditionals (#724) * Introduction of MultiOutputFeatures (Mof) and MultiOutputKernels (Mok). These are used to specify a particular setup of multi-output correlation. * Multiple-dispatch for conditional. This allows GPflow to select the most efficient conditional code depending on your choice of Mof and Mok. * Multiple-dispatch for Kuu and Kuf. Previously Kuu(.) and Kuf(.) were member functions of the feature class. This became cumbersome as the calculation of Kuu and Kuf also depends on the kernel used. In line with conditional we now also use multiple-dispatch to calculate Kuu and Kuf for a particular combination of Mok and Mof. * The actual maths to efficiently calculate the output-correlated conditional (credits to @markvdw ) * sample_conditional function that makes sure that the most efficient code is used to get a sample from the conditional distribution. * Minor: we updated a couple of models to use the new multi-output conditional. 18 June 2018, 17:04 UTC
6baeb43 Likelihood/students t variance scaling (#777) * Add scaling to studentT conditional variance The conditional variance of the Student’s T distributions is proportional to the square of the scale of the distribution. See https://en.wikipedia.org/wiki/Student%27s_t-distribution#In_terms_of_sca ling_parameter_σ,_or_σ2. I’ve incorporated the correct scaling factor. * explicit scale dtype and tensor broadcasting Added an explicit data type for the Student’s T scale parameter, and made the broadcasting in the conditional_variance method explicit. 15 June 2018, 10:31 UTC
916458e ndiagquad logspace feature for improved numerical stability (#747) 13 June 2018, 13:21 UTC
8fa0d57 Fix failing unittest under TensorFlow 1.8 (#788) 13 June 2018, 09:39 UTC
0e2ee24 Support Python 3.5.2 in typing checks (Ubuntu 16.04 default python3) (#787) * Support Python 3.5.2 in typing checks (Ubuntu 16.04 default python3) 12 June 2018, 19:00 UTC
147ce61 Logger in the settings (#764) 22 May 2018, 21:33 UTC
d40222d Updating readthedocs link in readme to point at master (#760) 17 May 2018, 08:58 UTC
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