| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| 1.3.5 source code.tar.gz | 2018-01-22 | 4.3 MB | |
| 1.3.5 source code.zip | 2018-01-22 | 4.5 MB | |
| README.md | 2018-01-22 | 893 Bytes | |
| Totals: 3 Items | 8.8 MB | 1 | |
- Added automatic posterior approximations in variational inference (#775).
- Added use of
tf.GraphKeys.REGULARIZATION_LOSSESto variational inference (#813). - Added multinomial classification metrics (#743).
- Added utility function to assess conditional independence (#791).
- Added custom metrics in evaluate.py (#809).
- Minor bug fixes, including automatic transformations (#808); ratio inside
ed.MetropolisHastings(#806).
Acknowledgements
- Thanks go to Baris Kayalibay (@bkayalibay), Christopher Lovell (@christopherlovell), David Moore (@davmre), Kris Sankaran (@krisrs1128), Manuel Haussmann (@manuelhaussmann), Matt Hoffman (@matthewdhoffman), Siddharth Agrawal (@siddharth-agrawal), William Wolf (@cavaunpeu), @gfeldman.
We are also grateful to all who filed issues or helped resolve them, asked and answered questions, and were part of inspiring discussions.