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80341f6 added eps and full cov to sample_conditional 17 August 2018, 12:28:12 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 Studentā€™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_Ļƒ,_or_Ļƒ2. Iā€™ve incorporated the correct scaling factor. * explicit scale dtype and tensor broadcasting Added an explicit data type for the Studentā€™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
b9e5817 Improved quadrature for likelihoods (#736) * introduce ndiagquad to unify quadrature in likelihoods * ndiagquad that can cope with several dimensions over which to integrate * add pragma: no cover to error checking * small change of signature * fix for multi-parameter likelihoods * preliminary quadrature test * improved quadrature test * fix weight normalisation in ndiagquad * improve test * add some type annotations * more quadrature tests 04 May 2018, 15:50:12 UTC
38b2e90 Gauss kl method is unable to work with unknown shape of the guassian parameters 03 May 2018, 21:35:06 UTC
69dbeb1 Extend contributing.md 02 May 2018, 20:30:06 UTC
da10b35 Copy values of parameters in as_pandas_table method to make them independent from ongoing changes during optimization. 02 May 2018, 11:15:56 UTC
ee4f774 GPflow scipy optimizer doesn't pass options kwargs to actual scipy optimizer correctly. (#738) 02 May 2018, 09:00:50 UTC
3b49709 Unify calling signature of (log)densities (#721) * rename densities -> logdensities * unify ordering of (log)densites to have random variable first * adjust logdensities test * forgot to git add * fix Exponential prior * fix Exponential prior #2 * minor change of notation * move to format strings * Uniform.log_height as property * logdensities: rename y -> x 01 May 2018, 09:09:36 UTC
ae7ed2c Numerically stable scaled squred distance via clipping near to 0. 30 April 2018, 20:59:29 UTC
aae4f34 Allow the epsilon parameter of the Robustmax likelihood to be trainable (#635) * Robustmax epsilon learnable * Robustmax epsilon a parameter * eps_K1 now a property so that changes with epsilon * test for this property being up to date * updated multiclass notebook to show how it could work * . * cosmetic change * update notebook following merge conflict 30 April 2018, 17:50:31 UTC
4a13271 Add Exponential distribution as prior (#717) * Support exponential distribution as prior. The exponential distribution here is parametrized using the rate parameter lambda and always has its mode at 0. * Reuse exponential density for prior distribution Add transformation to test of exponential prior This ensures that it is only evaluated on the positive domain * Add sample method * fix test * fix test again * more fixes * add pragma: no cover to make codecov happy * add sample tests * sample test * revert change to densities.exponential() * fix * pr comments * fix test * removing commented code 30 April 2018, 16:35:23 UTC
e59ff2f add shape check for ARD hyperparameters to Kernel classes (#694) * add check of lengthscales shape to Stationary kernel * refactor to _validate_ard_shape * add casts to float * fix ArcCosine test * add None to ARD test * remove deprecated num_gauss_hermite_points from kernel * Clean up docstrings & make code a bit shorter. * Typo ARG => ARD. * update docstring * more dtype=float_type 30 April 2018, 10:44:40 UTC
3ff6110 returning var_list to Optimizer in order - Issue appears to affect only ScipyOptimizer. Does not affect, e.g., AdamOptimizer on doc/source/notebook/classification - Appears to be due to the fact that TensorFlow variables are not stably ordered across across replications, so var_list (and thus random initial values for optimization) is not either. 27 April 2018, 13:36:43 UTC
913bfe3 Minor clean-up * removing old notebooks dir * add symbolic link to notebooks 27 April 2018, 08:12:54 UTC
f31223c Merge pull request #731 from GPflow/jameshensman-tidy1 removing errant file 26 April 2018, 13:53:52 UTC
c7acc2f removing errant file 26 April 2018, 13:28:03 UTC
5e841b7 Model saver (#660) GPflow model saver. Supports native GPflow models and provides an interface for defining custom savers for user's models. Saver stores GPflow structures and pythonic types as numpy structured arrays and serializes them using HDF5. 19 April 2018, 14:24:02 UTC
2fb4b6d Merge pull request #723 from GPflow/awav/fix-pytest-import Pytest used by test_util module 17 April 2018, 14:24:05 UTC
26254a2 Bump patch version to 1.1.1 17 April 2018, 13:54:02 UTC
753aa2e pytest must be included as a dependency 17 April 2018, 13:53:21 UTC
8a412f6 Merge pull request #713 from GPflow/awav/github-templates GitHub PR and issue templates. 12 April 2018, 10:05:11 UTC
46c8784 Python code block as an example. 12 April 2018, 09:24:05 UTC
e3aba01 Merge branch 'awav/github-templates' of github.com:GPflow/GPflow into awav/github-templates 12 April 2018, 09:22:12 UTC
ec43181 Content table had broken links 12 April 2018, 09:22:02 UTC
ee5c897 Merge branch 'master' into awav/github-templates 12 April 2018, 09:08:21 UTC
eb6a269 Merge pull request #714 from GPflow/awav/optimizers-fix Optimizers incompatibility with TensorFlow >= 1.6 12 April 2018, 09:08:00 UTC
c5f8520 Update ISSUE_TEMPLATE.md 11 April 2018, 23:13:12 UTC
9ccf2b4 Update ISSUE_TEMPLATE.md 11 April 2018, 23:11:35 UTC
d15a401 Change tensorflow version on 1.6 11 April 2018, 22:14:37 UTC
745dcf8 Bump tensorflow version requirement to 1.5 11 April 2018, 22:01:29 UTC
5e57df5 TensorFlow optimize initilizer. 11 April 2018, 21:34:46 UTC
d05309e Fixes after code review. 11 April 2018, 20:20:35 UTC
ebc8d56 Merge branch 'awav/github-templates' of github.com:GPflow/GPflow into awav/github-templates 11 April 2018, 16:01:55 UTC
96e918d Update contributing.md 11 April 2018, 16:00:43 UTC
a6f48fa Fix typo. 11 April 2018, 15:31:36 UTC
1c5c7fb Update README.md Small changes inline 11 April 2018, 15:27:13 UTC
6d58de8 Update PULL_REQUEST_TEMPLATE.md Small changes inline 11 April 2018, 15:23:32 UTC
28e043c Brushing up parts of PR template. 11 April 2018, 15:10:17 UTC
6d5e10d Compatibility section in README.md 11 April 2018, 14:34:36 UTC
ea4f07d Modify contributing.md file and add github templates. 11 April 2018, 14:19:34 UTC
f5d8cc4 Name attribute for Gaussian likelihood. 04 April 2018, 11:10:45 UTC
70f18c1 allow params_as_tensors_for() to take several objects as varargs (#672) Allow params_as_tensors_for() to take several objects as varargs 04 April 2018, 10:13:53 UTC
455a71f Merge pull request #701 from ialong/expectations expectations: pass num hermite points to _expectation() and minor cleaning 04 April 2018, 08:27:29 UTC
731c5dc Merge branch 'master' into expectations 04 April 2018, 08:02:40 UTC
919ea6f Docstring updates. 03 April 2018, 22:32:39 UTC
29fe092 Fixed regression to bug in #615 (#700) * Fixed regression to bug in #615 Refactoring `expectations.py` re-introduced the bug fixed by #615, for which we decided to not introduce a test. This contains the bug fix and the test. * Removed magic number, rewrote test to convention, removed unused import Basically incorporated all of @awav's suggestions + removed an unused import. 03 April 2018, 22:18:10 UTC
f076951 expectations: pass num hermite points to _expectation() and minor cleaning 03 April 2018, 17:06:16 UTC
16570be NatGrads notebook cleanup (#696) * added notebook * added callback to first example * Clean up Natural Gradients notebook. * Final change in NatGrads notebook. * Address PR review. Typo in conjugate case. Likelihood printing. * Conjugate to non-conjugate. 29 March 2018, 10:51:23 UTC
e2acd61 Natural gradients notebook (#691) * added notebook * added callback to first example 28 March 2018, 11:10:42 UTC
c283fec GPflow Actions. (#678) * Action initials. * Introducing actions. * Change implicit interfaces for an optimizer. * Add simple action tests. * Natural gradient integration. * Unify natural gradient optimizer interface. * Fix NatGradOptimizer test. * Forgot to add actions.py file. 27 March 2018, 10:27:17 UTC
f3fe7da Update gauss_kl to work with K matrices of shape L x M x M (previously M x M only) (#682) Update gauss_kl to work with K matrices of shape L x M x M 26 March 2018, 13:21:04 UTC
25116dc Merge pull request #688 from a5a/master Fixed ModuleNotFoundError 26 March 2018, 09:20:50 UTC
5fbff19 fixed ModuleNotFoundError in natgrad_optimizer 22 March 2018, 17:17:56 UTC
ef45c39 Merge pull request #674 from GPflow/awav/natural-gradient-optimizer Natural Gradient Optimizer 20 March 2018, 12:37:23 UTC
aa3821b Update doc strings for XiTransformation and add explanation to NatGrad tests. 20 March 2018, 10:16:55 UTC
9d8f3c1 Merge with updated branch. 15 March 2018, 23:27:18 UTC
0342cb9 SVGP vs SGPR optimization test fixed. 15 March 2018, 23:18:25 UTC
80528a3 added tests for xi transforms, and added nasty placeholder_with_default 14 March 2018, 13:25:41 UTC
6014011 Merge branch 'master' into awav/natural-gradient-optimizer 14 March 2018, 11:48:31 UTC
0bb77c3 Merge pull request #652 from GPflow/james/py27_docfix Py27 doc fix. 11 March 2018, 23:15:40 UTC
9c84c43 Merge branch 'master' into james/py27_docfix 11 March 2018, 22:02:25 UTC
c1be47a Change support message for python 3.5 11 March 2018, 17:20:31 UTC
2a41df8 Merge branch 'master' into awav/natural-gradient-optimizer 11 March 2018, 09:30:33 UTC
236c4a6 Fixing bug in tf.group. Cleaning up documentation. 10 March 2018, 23:18:59 UTC
43ba8f8 Revert changes in "likelihood.py" 09 March 2018, 22:12:58 UTC
54dd63f Change python version title 09 March 2018, 22:10:44 UTC
2ab6c18 Merge pull request #653 from ialong/master remove conditional shape changes from multivariate_normal 09 March 2018, 22:08:30 UTC
4be4f07 reverted to tuple 08 March 2018, 19:02:33 UTC
9335859 group op has list rather than tuple 08 March 2018, 18:59:59 UTC
5f0c251 Merge branch 'master' into awav/natural-gradient-optimizer 08 March 2018, 18:35:01 UTC
00674d4 Merge branch 'awav/natural-gradient-optimizer' of https://github.com/GPflow/GPflow into awav/natural-gradient-optimizer 08 March 2018, 18:33:07 UTC
4edfd9d added test with excluded vars 08 March 2018, 18:32:54 UTC
83f52d4 Modify notation with unicode symbols 08 March 2018, 17:33:11 UTC
a5b06ef formatting 08 March 2018, 14:08:21 UTC
2e42560 added more tests 08 March 2018, 14:06:55 UTC
653babe added nat grads tests 08 March 2018, 12:12:55 UTC
08333e2 hit warning lines 08 March 2018, 11:27:31 UTC
dac1c73 Merge branch 'master' into master 07 March 2018, 18:45:34 UTC
4196ef5 Merge pull request #665 from GPflow/stj/autoflow_fix_docstr Minor improvement to decorators and AutoBuild 07 March 2018, 18:44:02 UTC
545cf74 Merge branch 'master' of github.com:GPflow/GPflow 07 March 2018, 16:30:00 UTC
24dd403 Merge branch 'master' into stj/autoflow_fix_docstr 07 March 2018, 16:15:03 UTC
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