https://github.com/pymc-devs/pymc3

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Revision Author Date Message Commit Date
15a7ef8 Upgrade to 3.7 27 May 2019, 07:46:10 UTC
8317281 Merge pull request #3488 from Bruschkov/docker-build-fix remove previous instance of docker container in start_container script 24 May 2019, 14:19:44 UTC
cb5e04e fixed requested changes: remove stopped container #3488 24 May 2019, 14:04:26 UTC
0fbde7d fixed requested changes: Check if container is running before shutting down to avoid error message #3488 24 May 2019, 13:55:54 UTC
7bd413d remove previous instance of docker container in start_container script 24 May 2019, 13:55:54 UTC
988f522 Fix for #3483: `model_to_graphviz` now works with shared variables (#3490) * fix for 3483 + modified test_model_grah.py to test it * fixed model_graph.py to handle shardvars * adding import for theano 23 May 2019, 19:54:04 UTC
6a6da63 Add links to issues in release-notes, add contributors. 23 May 2019, 09:15:33 UTC
64f0b2c More fixes to release notes. 22 May 2019, 19:14:20 UTC
3e47cd7 Remove erroneous line in release-notes. 22 May 2019, 16:01:27 UTC
9a3018a Upgrade to 3.7.rc1. 22 May 2019, 15:49:54 UTC
78ce11c Merge pull request #3468 from rpgoldman/ppc-params Proposed revision to sample_posterior_predictive() 21 May 2019, 19:26:09 UTC
48b3862 Revise sample_prior/posterior_predictive() parameters. Add the option to take varnames (`var_names`), rather than var objects as parameters. Extend the set of parameters to accept varnames as an alternative to vars, preserving backwards compatibility. Also revise the docstring, to clarify the return type and add type comments. 21 May 2019, 18:21:31 UTC
f9916ea Add type hint to modelcontext. 21 May 2019, 18:19:07 UTC
8bb85df Delete unused variable. 21 May 2019, 18:18:23 UTC
8597aef Merge pull request #3485 from ColCarroll/rm-numdifftools Remove numdifftools 21 May 2019, 13:52:19 UTC
079bbce Fix lint, add release notes 21 May 2019, 12:20:35 UTC
940d784 Added minimal python3.5 test env (#3470) * Added minimal python3.5 test env * Enforced python3.5 with matrix. Used different conda env in py35. * Reverted travis.yml matrix back to envs. Set default ENVNAME * Removed duplicate env * Try to pip uninstall conflicting numpy version before conda installing into the env * Confirm pip uninstall numpy * Try to uninstall numpy in install_miniconda * Try to not conda install numpy and hope pip does everything well * Fixed test error on py35 env * Fixed defects introduced to draw_values * Commented why we uninstall miniconda's numpy * Added python_requires to setup.py 21 May 2019, 09:46:30 UTC
33fef97 Remove numdifftools 21 May 2019, 02:07:19 UTC
ff7f047 Improve distribution docs - continued (#3479) * add doc strings for logp methods for time series distributions * Add docstring for transformed distribution logp method * Add docstring for random method for multivariate distributions * Add docstrings to logp method for multivariate distributions * change docstring paramter to match actual parameter name defined in function definition * Add docstrings to logp and random methods for bound distributions * Fix mismatched function parameters and docstring variable names * add docstring to logp_nojac method for transformed distribution * Add docstrings to all logcdf methods for continuous distributions * Fix accidently deletion of variable * Fix repeated typo 16 May 2019, 11:08:10 UTC
2545d60 Merge pull request #3472 from Dpananos/pr_fix Fix for #3450 12 May 2019, 09:03:32 UTC
e9b9a44 Test for chol factorization should pass now 11 May 2019, 19:27:19 UTC
c5214af Add test for MvNormal cholesky factorization 11 May 2019, 14:57:56 UTC
c487b34 fix examples url in the README.rst (#3476) The url that it currently links to is dead 10 May 2019, 22:41:52 UTC
014f51e Merge pull request #3474 from tblazina/improve-distributions-docstrings [WIP] Improve doc strings for distributions 10 May 2019, 03:42:30 UTC
7a3cf27 Remove duplicated docstring 09 May 2019, 14:08:54 UTC
e79c852 add doc strings for logp methods in discrete distribution classes 09 May 2019, 13:47:39 UTC
4817bc5 Add doc strings for random and logp class methods for mixture distribution 09 May 2019, 11:14:30 UTC
e2a97ea Add doc strings to all random methods for discrete distribution classes 09 May 2019, 10:54:07 UTC
88a4306 commits fix for issue 3450. _repr_cov_params now uses self.chol_cov 09 May 2019, 00:01:08 UTC
6f2d82f Merge pull request #3471 from rpgoldman/new-ignores Ignore mypy cache directory. 08 May 2019, 04:45:36 UTC
89ec0cc Ignore mypy cache directory. 07 May 2019, 14:39:00 UTC
8a177f2 Fix HamiltonianMC init to forward arguments (#3469) * Fix HamiltonianMC init to forward arguments * Update first 100 steps of HMC * Comments 07 May 2019, 07:59:01 UTC
55ccacf Merge pull request #3397 from canyon289/rerun_notebooks Rerun notebooks 07 May 2019, 05:28:25 UTC
ab128aa Merge pull request #3396 from chartl/factor_analysis_notebook Add a notebook for Bayesian Factor Analysis 06 May 2019, 19:09:19 UTC
306155a Merge pull request #3466 from lucianopaz/iss3465 Remove variable annotations 06 May 2019, 12:56:30 UTC
e080cae Added to release-notes. Moved model_graph issue to bottom of maintenance. 06 May 2019, 11:53:16 UTC
e923bcf Removed dangling PowerSet 06 May 2019, 11:50:48 UTC
c52d741 Removed type annotations 06 May 2019, 11:50:23 UTC
bcf5637 Added shape_utils doc (#3463) * Added shape_utils to docs * Added shape_utils to api 06 May 2019, 08:11:22 UTC
05e3c39 Merge pull request #3460 from rpgoldman/grapher-dfs Fix for timeout in graph_model 05 May 2019, 19:04:41 UTC
ca13c44 Release note for PR #3460 05 May 2019, 16:54:59 UTC
9f3bba0 Remove unused _ancestors method New Breadth-first search version of _get_ancestors no longer uses it. Also added some type annotations to clarify. 05 May 2019, 16:54:25 UTC
8981c7e Simplify _get_ancestors(). Per @lucianopaz. remove the initial special case/ 05 May 2019, 15:57:10 UTC
f76df8c Revise _get_ancestors to use BFS. Previously, `get_ancestors()` used a powerset computation, which would fail on large models. Replaced with breadth-first search. 05 May 2019, 15:57:10 UTC
d113e41 Revert "Fixes to DP mixture notebook (#3459)" (#3462) This reverts commit 3dfe70091d49db61b5c667032d4b0ae6ee9bcc6b. 04 May 2019, 18:51:54 UTC
e2ea26b Add MultiTrace to docs. (#3461) 04 May 2019, 14:43:12 UTC
3dfe700 Fixes to DP mixture notebook (#3459) 03 May 2019, 15:51:06 UTC
b253803 Update Euler-Maruyama. 03 May 2019, 14:50:15 UTC
f5d8324 Improve shape handling in generate_samples (#3456) * Added shape_utils script * Import from shape_utils and change generate samples * Fixed lint and errors * Still errors with broadcast shapes * Fixed triangular errors * Fixed distrubutions random errors. * Fixed Multinomial error * Fixed multinomial n shape error * Added shape broadcasting tests * Added broadcast samples tests * Made all tests use fixtures. Finished shape broadcasting tests. * Fixed shape_utils docstrings. * Added random variable sampling to test_shape testsuite. * Removed redundant broadcast_distribution_samples from random methods. This is now handled in generate_samples. * Fixed lint * Moved test_shape_handling to last travis environment * Changed test skip to xfail * Fixed Bound random error * Changes to increase code coverage * Moved to_tuple to shape_utils * Used numpy vectorize to fix 3422 * Fixed signature for empty input and one_d reshaping. * Removed unused fixture and added more details to RELEASE-NOTES * Addressed colcarrol comments 02 May 2019, 14:04:06 UTC
3cdde2a Fix for lda-advi-aevb 01 May 2019, 09:58:22 UTC
3673291 Fix for gaussian_process 01 May 2019, 09:58:04 UTC
096b235 Fix for dp_mix 01 May 2019, 09:57:52 UTC
b411452 Fix for GP-smoothing 01 May 2019, 09:57:40 UTC
7d2fa50 Fix for GP-TProcess 01 May 2019, 09:57:26 UTC
df6262b Fix for GP-SparseApprox 01 May 2019, 09:57:11 UTC
fd47636 Fix for GP-MeansAndCovs 01 May 2019, 09:56:54 UTC
8f6eb68 Fixed dp_mix 01 May 2019, 08:53:39 UTC
fc66cb2 Reran GP-Tprocess 01 May 2019, 08:38:23 UTC
b71c93a Reran lda-advi 30 April 2019, 19:07:08 UTC
c7444dc Reran GP-smoothing 30 April 2019, 16:36:53 UTC
5362f50 Reran dp_mix 30 April 2019, 16:34:06 UTC
add16c4 Removing slice sampling. This step method was move to pymc-experiments 30 April 2019, 16:33:28 UTC
de4b033 Merge branch 'rerun_notebooks' of https://github.com/canyon289/pymc3 into rerun_notebooks 30 April 2019, 16:29:34 UTC
82de3bd Reran GP-MeansAndCovs 30 April 2019, 16:29:31 UTC
2a6feea Reran gaussian_process 30 April 2019, 15:46:27 UTC
a7f62a0 Fix image in doc (#3455) 25 April 2019, 16:35:14 UTC
ceba6f7 Address comments and update to python3 23 April 2019, 21:34:31 UTC
35813f7 Fix image link (not showing up on the web) (#3454) 23 April 2019, 11:20:26 UTC
6148d1b Fix for shape issue in prior sampling for bounded distributions (#3451) * Fix for shape issue in prior sampling for bounded distributions * Fixed unrelated test failure in test_normal_scalar * Fixed test_normal_scalar failure 18 April 2019, 13:41:56 UTC
a3622d3 Update more NBs. Remove Dawid-Skene. 16 April 2019, 19:51:43 UTC
9493102 rerun marginalized_gaussian_mixture_model 16 April 2019, 19:51:43 UTC
d80227f rerun model_averaging.ipynb 16 April 2019, 19:51:43 UTC
6f866e2 rerun model_comparison.ipynb 16 April 2019, 19:51:43 UTC
9f20612 rerun MvGaussianRandomWalk_demo.ipynb 16 April 2019, 19:51:43 UTC
84915dd rerun survival_analysis.ipynb 16 April 2019, 19:51:43 UTC
fa60f9d Rerun normalizing_flows_overview.ipynb 16 April 2019, 19:51:42 UTC
ecbd946 rerun posterior_predictive.ipynb 16 April 2019, 19:51:42 UTC
104e964 rerun SMC2_gaussians.ipynb 16 April 2019, 19:51:42 UTC
983f2b4 rerun Update_priors.ipynb 16 April 2019, 19:51:42 UTC
8114993 Rerun Bayesian Neural Networks 16 April 2019, 19:51:42 UTC
eb1636b update Diagnosing_biased_Inference_with_Divergences 16 April 2019, 19:51:42 UTC
4dd480f Rerun Bayesian Neural Networks 16 April 2019, 19:51:42 UTC
436eba7 update sampling_compound_step 16 April 2019, 19:51:42 UTC
54e6421 rerun variational api quickstart 16 April 2019, 19:51:42 UTC
ef56967 Rerun and update stoch vol. 16 April 2019, 19:51:42 UTC
4e664ce Rerun sampler stats. 16 April 2019, 19:51:42 UTC
da6fc02 Rerun weibull aft. 16 April 2019, 19:51:42 UTC
4fcf146 Run marginalized GMM. 16 April 2019, 19:51:42 UTC
7ff4e24 Run LDA ADVI AEVB. 16 April 2019, 19:51:42 UTC
6637c62 Update getting started. 16 April 2019, 19:51:42 UTC
cc74cc0 Reword and rerurn empirical approx NB, but still pretty rough. 16 April 2019, 19:51:42 UTC
c52bed9 Run cox model. 16 April 2019, 19:51:41 UTC
421fce0 Run LKJ 16 April 2019, 19:51:41 UTC
60d4383 rerun lasso block update 16 April 2019, 19:51:41 UTC
d1b9057 update glm-logistic 16 April 2019, 19:51:41 UTC
6ec7ba1 rerun + fix (most) GLM related docs 16 April 2019, 19:51:41 UTC
4933d71 rerun pymc3_tips_and_heuristic 16 April 2019, 19:51:41 UTC
50a8e2b Rerun gp-maunaloa 16 April 2019, 19:51:40 UTC
4a90891 Rerun gp-latent 16 April 2019, 19:51:40 UTC
1ba1a98 Rerun censored data 16 April 2019, 19:51:40 UTC
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