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

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Revision Author Date Message Commit Date
2e4e842 Use marginalized mixture classes for DP example 20 November 2016, 19:23:57 UTC
d57000d DOC Add None option for NUTS intialization. 18 November 2016, 14:11:30 UTC
dbf0654 ENH Add ADVI initializing for continuous models sampled using NUTS. 18 November 2016, 13:59:18 UTC
ad7dc8a Replaced fixed kappa with passed value (#1531) 18 November 2016, 10:21:34 UTC
59f500c TST Fix Rhat bad test by changing seed and starting point. 18 November 2016, 08:33:20 UTC
34e3f45 MAINT Convert some examples to new sample() api. Adapt tests. 17 November 2016, 15:04:41 UTC
b91d3be Merge pull request #1528 from taku-y/fix_sbtrans Fix stickbreaking transform dtype 17 November 2016, 13:32:00 UTC
34a8bd4 Fix stickbreaking transform dtype 17 November 2016, 10:48:17 UTC
85e0f9d REF Make all_continuous() a general purpose function. 16 November 2016, 09:46:05 UTC
4d53a36 WIP Perform initializing inside of sample instead of adding new sample_init() as per @fonnesbeck suggestion. 16 November 2016, 09:37:51 UTC
e3c8b63 DOC Add better docs and add advi_map. 16 November 2016, 07:17:36 UTC
85b46f6 MAINT Remove Metropolis init as it does not seem to work well. 16 November 2016, 07:17:36 UTC
dc203d9 DOC Convert more NBs to use sample_init(). 16 November 2016, 07:17:36 UTC
77b67d0 ENH Add sample_init() function and update examples. 16 November 2016, 07:17:36 UTC
1770be2 ENH Infer variable names directly from model in covariance estimation from trace. 16 November 2016, 07:17:36 UTC
4f54823 ENH: Add Dockerfile for development inside a container (#1527) * Add Dockerfile for development inside a container * Use /Users/austin for portability * Put Dockerfile with scripts * Add script for starting development Docker container * Really add script this time * Modify options to create_testenv.sh * Shift while parsing arguments * Update dockerfile to run test suite * Add documentation for docker * Typo 14 November 2016, 20:41:46 UTC
7367f20 Typo 14 November 2016, 20:39:54 UTC
d8800bf Add documentation for docker 13 November 2016, 18:38:58 UTC
75dac62 Update dockerfile to run test suite 13 November 2016, 18:38:58 UTC
08fbeeb Shift while parsing arguments 13 November 2016, 18:38:58 UTC
9d38375 Modify options to create_testenv.sh 13 November 2016, 18:38:58 UTC
c489ea6 Really add script this time 13 November 2016, 18:38:58 UTC
655a4db Add script for starting development Docker container 13 November 2016, 18:38:58 UTC
f60492c Put Dockerfile with scripts 13 November 2016, 18:38:58 UTC
3180376 Use /Users/austin for portability 13 November 2016, 18:38:58 UTC
231e30f Add Dockerfile for development inside a container 13 November 2016, 18:38:58 UTC
082c982 Nuts speed up ~1.5x (#1522) * PERF Make NUTS 1.5x faster by moving E0 calculation outside of buildtree inner loop. * STY Refactor creation of functions. * DOC Adapt doc-string. * STY Pep8. * STY Only return scalar * DOC Typo * MAINT Move theano.tensor to tt. Remove obsolete p0 and q0 args from build_tree. 12 November 2016, 13:40:11 UTC
0d5f292 MAINT glm fixes and refactoring (#1513) * Fixed a bug when it is not possible to run more than one glm models in a model * names are as were in previous versions by default * Added glm.from_xy constructor * Fixed confusing docstrings * Refactored Code 12 November 2016, 09:31:01 UTC
3f300e9 change circular transform from ElemwiseTransform to Transform. add circular domain for vonmises tests (#1520) 12 November 2016, 08:40:18 UTC
ebf26d5 Remove `verbose` argument 10 November 2016, 13:42:41 UTC
c04da31 Merge pull request #1516 from pymc-devs/transform_verbosity Changed verbosity threshold for variable transformation 09 November 2016, 16:42:06 UTC
1f5480f Used logging.debug instead of verbosity level 09 November 2016, 15:39:16 UTC
4ca4ef9 Changed verbosity threshold for variable transformation 09 November 2016, 15:26:45 UTC
51f196d Accept `extent` as kwarg to kde_plot (#1509) 08 November 2016, 07:23:44 UTC
1e8549e Merge pull request #1508 from ColCarroll/unpin Unpin theano 08 November 2016, 06:29:20 UTC
4ca37f7 Unpin theano 08 November 2016, 04:37:38 UTC
9be2a02 ENH: Changed the notebook slightly adding Taku as an author and removing the branch reference 07 November 2016, 23:57:32 UTC
2fb658a Merge pull request #1504 from hvasbath/kdekwargs kde plot added kwargs 07 November 2016, 14:21:27 UTC
e494d1c move cmap to kwargs 07 November 2016, 13:35:21 UTC
4ce9e2c kde plot added kwargs 07 November 2016, 10:19:52 UTC
433a9c7 Changes on ADVI functions (#1499) * pep8 * Change the definition of optimizers * Use theano float type * ENH Support models without global RVs * Fix ADVI code for tests * Update notebooks that use ADVI * Add a convolutional vae notebook as an example 06 November 2016, 23:29:23 UTC
aa72167 added cmap option to kde plots (#1500) 06 November 2016, 15:31:30 UTC
113e720 Informative error message in find_MAP (#1493) 02 November 2016, 11:57:57 UTC
97f11f4 Pin theano version for now (#1494) 02 November 2016, 09:24:37 UTC
587828c Merge pull request #1489 from pymc-devs/arbitrary_deterministic_fix Fixed import error in disaster_model_arbitrary_deterministic 02 November 2016, 07:08:38 UTC
bef8df4 Fixed import error in disaster_model_arbitrary_deterministic 31 October 2016, 15:24:57 UTC
719cd3e IPyNB and unit test for EM SDE (#1486) * add original example * restart nb & convert oscillator * add lin sde as test 28 October 2016, 17:58:02 UTC
1327069 Merge pull request #1485 from ColCarroll/global_env Add --global flag to create_testenv for docker build 28 October 2016, 14:38:44 UTC
5577f40 Add --global flag to create_testenv for docker build 27 October 2016, 23:43:53 UTC
ed5245b Merge pull request #1484 from AustinRochford/flexible-multinomial Support 1D n and 2D p in Multinomial 26 October 2016, 20:50:09 UTC
96093c6 Merge pull request #1482 from pymc-devs/assert_negative Changed check for non-positive support to check for negative support 26 October 2016, 18:22:23 UTC
51ee020 Change 2d to 1d where appropriate in tests 26 October 2016, 17:35:18 UTC
601b0f3 Support 1D n and 2D p in Multinomial 26 October 2016, 17:32:40 UTC
5e2e466 Fix parallel sampling (#1481) * Fix parallel sampling * Everything is good again 26 October 2016, 06:29:43 UTC
09fba92 Fixed typos 26 October 2016, 00:23:43 UTC
77d8715 Fixed typo 25 October 2016, 23:19:01 UTC
f52d411 Changed check for non-positive support to check for negative support 25 October 2016, 23:17:24 UTC
954b01d Merge pull request #1478 from AustinRochford/bugfix-multinomial-vector Bugfix multinomial vector 25 October 2016, 17:49:43 UTC
1a21db4 Fix Multinomial logp when there is more than one observation 25 October 2016, 03:17:11 UTC
b7fc184 Add failing test for multinomial with many observations 25 October 2016, 02:46:52 UTC
540da5f Merge pull request #1475 from AustinRochford/git-ignore-test-artifacts Ignore SQLite file generated by tests 23 October 2016, 21:45:12 UTC
39637ed Ignore SQLite file generated by tests 23 October 2016, 21:44:18 UTC
2a659d8 Merge pull request #1474 from pymc-devs/generalize_fmin Generalize find_MAP to accept more scipy.optimize functions 23 October 2016, 18:17:59 UTC
1e845bf Generalize find_MAP to accept more scipy.optimize functions 23 October 2016, 17:28:40 UTC
968f341 Added warnings for non-positive support in positive parameters (#1472) * Added warnings for non-positive support in positive parameters for continuous distributions * Improved message from assert_nonpos_support 23 October 2016, 13:06:37 UTC
362c8ee More robust transformations and scaling adjustments (#1461) * More robust transformations and scaling adjustments * Fixed bad name for scaling bound * Tests sd rather than tau (or both) in normal logp * Added default scaling_bound for adjust_precision 22 October 2016, 14:55:17 UTC
854a6ab Replaced multinomial probability bounds test in logp (#1462) 20 October 2016, 18:36:34 UTC
3de8330 Fixed minor backend bugs. (#1456) * Fixed minor backend bugs. * Before this fix, new samples were not appended to a SQLite backend that was loaded using the function sqlite.load. * Fixed a Pandas related deprecation warning. * Load functions now raise sensible exceptions if the requested backend can not be loaded. * Fixes as requested by @twiecki. 19 October 2016, 05:13:24 UTC
49ef10a DOC Fix math notation. Closes #1453. 18 October 2016, 19:55:39 UTC
7cd5166 DOC Link to github Quantopian logo rather than locally. 18 October 2016, 11:55:35 UTC
4db0184 DOC Add all backend submodules. 18 October 2016, 11:17:41 UTC
aa8e667 DOC Fix formatting in readme. Add links for further resources. 18 October 2016, 09:41:34 UTC
1889b46 DOC Add advi-minibatch, diagnostics and backends to docs. Fix some doc string math problems. 18 October 2016, 09:24:23 UTC
ce225df DOC Restructure docs and fix some heading problems. Also include new NUTS scaling NB. 18 October 2016, 08:53:39 UTC
370b5b9 DOC Adding an example Notebook for NUTS scaling using ADVI stdevs (#1457) It seems to work, so submitting an example Notebook in the hope it helps someone else. Please see Notebook for method, results and system details too. 18 October 2016, 08:36:57 UTC
2572852 ENH Mixture Models (#1437) * First pass at mixture modelling * No longer necessary to reference self.comp_dists directly in logp * Add dimension internally (when necessary) * Import get_tau_sd * Misc bugfixes * Add sampling to Mixtures * Differentiate between Discrete and Continuous mixtures when possible * Add support for 2D weights * Gracefully try to calculate mean and mode defaults * Add docstrings for Mixture classes * Export mixture models * Reference self.comp_dists * Remove unnecessary pm. * Add Mixture tests * Add missing imports * Add marginalized Gaussian mixture model example * Calculate the mode of the mixture distribution correctly 18 October 2016, 08:33:52 UTC
f1e622f Fix notebooks to run with current api 18 October 2016, 08:21:24 UTC
07cba62 Update notebooks with current API, and add kwarg to tracetab 18 October 2016, 08:21:24 UTC
e75bbf6 DOC Add raw link to logo. 17 October 2016, 22:18:56 UTC
68e488a Merge pull request #1455 from pymc-devs/logo Added new logo 17 October 2016, 19:59:29 UTC
85e3f4f Changed image url to point to master 17 October 2016, 17:08:55 UTC
51a06c0 Replaced title with logo 17 October 2016, 17:08:06 UTC
f7fe7df Added new logo to README 17 October 2016, 17:06:07 UTC
345fcbc Added logo for use in README 17 October 2016, 16:52:24 UTC
05473eb Merge pull request #1454 from AustinRochford/sampling-progressbars Add progress bar option to PPC and VP sampling 17 October 2016, 02:36:07 UTC
b8fd064 Add progress bar option to PPC and VP sampling 17 October 2016, 02:20:15 UTC
1b7b4bb Don't broadcast in alltrue (#1452) 14 October 2016, 13:49:49 UTC
4a21624 Make diagnostic tests reproducible (#1451) 14 October 2016, 06:34:09 UTC
100dbb1 DOC NUTS requires covariance matrix, so square the standard-deviations from ADVI. Closes #1448. 13 October 2016, 15:20:20 UTC
b43faec fix broken link (#1446) 13 October 2016, 14:32:52 UTC
6e5dcba Update pmf-pymc example (#1447) 13 October 2016, 14:32:07 UTC
6f0013f Implemented CategoricalGibbsMetropolis, optimized BinaryGibbsMetropolis. (#1439) * Implemented CategoricalGibbsMetropolis, optimized BinaryGibbsMetropolis. * Added unit test for CategoricalGibbsMetropolis. Also Added extra comments requested by PyMC3 devs, and fixed a minor bug in the proportional proposal utilized by CategoricalGibbsMetropolis. * Fix a minor bug in the newly added CategoricalGibbsMetropolis test. 13 October 2016, 07:28:54 UTC
2f29af8 Model comparison waic with standard error plot (#1442) * add estimation of standard error * waic standard error computation and plot * remove 0.7 ValueError loo * turn ValueError 0.7 into warning * prevent showing both warnings, fix typo 12 October 2016, 16:25:50 UTC
5b2b7f0 Merge pull request #1440 from pymc-devs/plot_posterior_vector Generalized plot_posterior to plot vector-valued variables 12 October 2016, 14:46:17 UTC
092faf2 Added test for multidimensional plot_posterior 12 October 2016, 13:15:49 UTC
90c7286 add estimation of standard error (#1441) 12 October 2016, 10:18:16 UTC
16d63c6 Generalized plot_posterior to plot vector-valued variables 11 October 2016, 23:30:13 UTC
a92c740 DOC Fix ADVI initialization in stoch vol model. 11 October 2016, 09:45:24 UTC
f8079ae Clean up metropolis imports (#1433) 10 October 2016, 10:38:15 UTC
67f7a81 Revert "WIP robust interval transforms" (#1432) 08 October 2016, 16:31:49 UTC
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