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68e5ef8 Merge branch 'awav/gpflow-2.0' into sergio_pasc/gpflow-2.0/move-test-features 14 March 2019, 17:54:16 UTC
9e29536 Transfer mean function tests 14 March 2019, 17:51:12 UTC
d348f2a Add predict file 14 March 2019, 17:20:03 UTC
65bae8c Move predict test to tests folder 14 March 2019, 17:03:41 UTC
2ec579e Merge branch 'awav/gpflow-2.0' into sergio_pasc/gpflow-2.0/move-predict-tests 14 March 2019, 16:53:54 UTC
0f3a891 Style changes 14 March 2019, 16:45:30 UTC
39d8bb7 Fix styles 14 March 2019, 16:35:01 UTC
7175a49 Return back K_diag for polynomials 14 March 2019, 16:28:02 UTC
7e72a3d Merge branch 'awav/gpflow-2.0' into sergio_pasc/gpflow-2.0/move-kernel-tests 14 March 2019, 11:48:15 UTC
a941fd6 Merge branch 'sergio_pasc/gpflow-2.0/move-test-features' of github.com:GPflow/GPflow into sergio_pasc/gpflow-2.0/move-test-features # Conflicts: # tests/test_features.py 14 March 2019, 11:37:56 UTC
156289e Cleaning up tests for features 14 March 2019, 11:35:24 UTC
ee9d18e Merge branch 'awav/gpflow-2.0' into sergio_pasc/gpflow-2.0/move-predict-tests 14 March 2019, 11:25:10 UTC
319bdc0 Add some amendments 13 March 2019, 23:17:06 UTC
7a2e151 Transfer logdensities tests 13 March 2019, 23:11:39 UTC
8ee2028 Changes for tests in kernels 13 March 2019, 18:13:45 UTC
cf2a1b5 Some tests require revisiting 12 March 2019, 17:41:46 UTC
b558c95 Some tests require revisiting 12 March 2019, 17:40:13 UTC
9423456 Merge branch 'awav/gpflow-2.0' into sergio_pasc/gpflow-2.0/move-predict-tests # Conflicts: # gpflow/kernels/base.py 12 March 2019, 16:10:45 UTC
9823db8 First few changes for test_predict 12 March 2019, 16:06:29 UTC
b393722 Transfer likelihood tests 12 March 2019, 15:46:35 UTC
1ee9146 Remove test_util.py from GP2.0 12 March 2019, 15:18:36 UTC
437588b Merge branch 'awav/tmp' into awav/gpflow-2.0 12 March 2019, 15:17:06 UTC
50422a3 Fixing active_dims 12 March 2019, 15:15:09 UTC
8de76f3 Take correct shape of transformed parameter. 12 March 2019, 13:44:47 UTC
0863085 Finished and verified test for features 11 March 2019, 15:50:25 UTC
6c15f0e Finished and verified test for features 11 March 2019, 15:50:16 UTC
9085216 Sync gpflow 1.0 notebooks 06 March 2019, 16:04:17 UTC
d65d93f Sync gpflow 1.0 notebooks 06 March 2019, 16:03:28 UTC
9c921b5 Optimisers tidying up 23 February 2019, 22:03:40 UTC
1047a60 Convert shape constructions 23 February 2019, 00:26:44 UTC
b095d80 Add optimisers folder back 22 February 2019, 23:57:23 UTC
5bf7005 Remove temporary files 22 February 2019, 23:56:39 UTC
8259acb Prepare GP2.0 for TF2.0 22 February 2019, 23:33:43 UTC
532b041 Tidy up variable class. 22 February 2019, 23:32:02 UTC
305183d Make parameter work as Module and pretend to be Variable 21 February 2019, 19:46:26 UTC
48f6ed0 Debugging gpflow variable 21 February 2019, 14:27:18 UTC
ef29b2e Move to TF2.0 preview version. 20 February 2019, 18:32:20 UTC
74434d5 GPflow 2.0 preview notebook 31 January 2019, 11:17:51 UTC
5a5504d Add callback to scipy optimizer 31 January 2019, 09:57:51 UTC
d55e452 Add kernel tests 05 January 2019, 23:35:21 UTC
f01a776 Fix obvious errors in expectations 27 December 2018, 10:35:26 UTC
b1c8719 Add unsorted tests 26 December 2018, 21:22:22 UTC
4e0c319 Fix expectations tests 26 December 2018, 21:21:52 UTC
ccecb4e Conditionals tests. 24 December 2018, 00:47:04 UTC
02649ba Useless commit 06 November 2018, 11:45:32 UTC
75d2bc4 Cleaning notebook outputs 05 November 2018, 23:11:54 UTC
d57bfbe Fixing classification notebook. 05 November 2018, 21:01:33 UTC
acc533a Intermediate changes 05 November 2018, 17:19:28 UTC
7672bfa Fixing kernel computation with jitter 02 November 2018, 20:59:33 UTC
6d09c11 Scipy bug fixing 02 November 2018, 12:18:41 UTC
5c6b240 Debugging classification notebook 01 November 2018, 16:19:13 UTC
55defea Scipy optimizer added. 27 October 2018, 16:53:30 UTC
bc462d6 Scipy optimizer added. 27 October 2018, 15:42:12 UTC
d1d79cb Scipy optimizer added. 27 October 2018, 15:42:03 UTC
2fe522e Merge branch 'awav/gpflow-2.0' of github.com:GPflow/GPflow into awav/gpflow-2.0 22 October 2018, 22:32:57 UTC
283ea90 Remove file test_core 22 October 2018, 22:32:30 UTC
604cb10 Update RELEASE.md Change to old release note made no sense 20 October 2018, 21:33:12 UTC
c3d02d1 Change requirements list 20 October 2018, 20:55:32 UTC
27a7e6f Example 20 October 2018, 19:47:32 UTC
0620aa4 Example. 20 October 2018, 09:46:45 UTC
732b0ce GPflow 2.0 example 20 October 2018, 07:58:13 UTC
af76829 Remove optimizers 19 October 2018, 09:20:05 UTC
ebd9fd0 Add rest of the project 18 October 2018, 12:46:21 UTC
ac35aad Constrained parameter 18 October 2018, 12:44:03 UTC
5bbd453 Cleaning up structure of GPflow 2.0 16 October 2018, 22:22:44 UTC
e826dd2 Move multioutput 16 October 2018, 13:59:35 UTC
99e31e6 Move multioutput 16 October 2018, 13:58:38 UTC
6761391 Resturcturing gpflow 09 October 2018, 20:18:15 UTC
cbc5d2b Intermediate state of shuffling modules 09 October 2018, 17:56:37 UTC
3288c8a Base file is added 06 October 2018, 18:12:45 UTC
6ab346e Finalise parameters class 06 October 2018, 18:12:10 UTC
74f2f06 Modify kernels 20 September 2018, 15:55:39 UTC
f31a914 Remove unnecessary parts 20 September 2018, 10:34:08 UTC
2c4cf39 Adding widedeepnetworks repository link (#825) * Adding repository link * Correction to table 17 August 2018, 19:05:27 UTC
54a276a Parameter.trainable was not properly a property, and param.trainable = False did not work. Fixed by this commit. (#814) 19 July 2018, 13:19:51 UTC
f746253 Fix bug in ndiag_mc re multi-dimensional kwargs (#813) 17 July 2018, 12:58:31 UTC
1db48f3 Update version.py file to 1.2.0 (#812) 11 July 2018, 12:50:44 UTC
707b195 Release notes 1.2.0 (#810) 11 July 2018, 11:21:33 UTC
1ff0a87 Optimizer's step_callback accepts step number (#811) 11 July 2018, 10:58:39 UTC
b78c1a8 Fixed discovered problem with the monitor, in particular with TensorBoard tasks (#807) 10 July 2018, 11:13:25 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, 12:59:50 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, 11:57:28 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, 11:19:26 UTC
1b0f4b0 Minibatch shape is unknow by default (#704) 26 June 2018, 10:18:10 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, 14:59:06 UTC
3a16991 Removed jitter in nat grads (#768) 19 June 2018, 15:00:11 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, 13:19:35 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, 17:04:06 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, 10:31:27 UTC
916458e ndiagquad logspace feature for improved numerical stability (#747) 13 June 2018, 13:21:24 UTC
8fa0d57 Fix failing unittest under TensorFlow 1.8 (#788) 13 June 2018, 09:39:00 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, 19:00:03 UTC
147ce61 Logger in the settings (#764) 22 May 2018, 21:33:17 UTC
d40222d Updating readthedocs link in readme to point at master (#760) 17 May 2018, 08:58:16 UTC
e5d2d02 Allow `StoreSession` to take `False` for `restore_path` to prevent restoring. (#759) 16 May 2018, 12:23:23 UTC
bac9728 fix for Param(shape=(1,)) in ModelTensorBoard (#752) Some parameters of size 1 need to be squeezed to scalars before they can be viewed with TensorBoard. 10 May 2018, 15:52:22 UTC
aa98c55 quickfix for bug with params_as_tensors_for (#751) * quickfix for bug with params_as_tensors_for * now last-in first-out as it should be * fix bug in bug fix 10 May 2018, 14:24:12 UTC
17781c2 Inclusion of `gpflow-monitor` (#705) * Start integrating gpflow-monitor in actions framework. * Initial commit for GPfow monitor integration with actions framework. * Quick fix to TriggeredAction. * Saver works. * PrintTimings added to actions. * simple callback action added. Needs to handle session correctly * ModelTensorBoard action seems to be working. More testing needed * Exclude monitor from testing. * Check if notebook coverage is included. * Moving back to removing coverage of monitor. * changed callback action to have access to the model * yet another edit to callback action in order to get access to the context * adding type annotations and cleanning up code * changed condition in the triggered action * Notebook, small bugfixes & LmlTensorBoard. * Add very simple test for monitor. * import of tqdm if not installed is now gracefully handled. * Added seq_exp_lin. * `force_run` now first test. * Fix `force_run` bug. * Updated test. * Actions test now also tests `CallbackAction`. 09 May 2018, 18:21:58 UTC
f867d66 Improve docstring of Periodic kernel (#745) 08 May 2018, 19:57:48 UTC
20a006f Copyright notes 05 May 2018, 22:52:53 UTC
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