Published February 19, 2023
| Version v0.15.0
Software
Open
ArviZ
Creators
- Osvaldo A Martin1
- Ari Hartikainen2
- Oriol Abril-Pla
- Colin Carroll3
- Ravin Kumar
- Rosheen Naeem
- Agustina Arroyuelo
- Piyush Gautam
- rpgoldman
- Aniruddha Banerjea4
- Nitish Pasricha
- Rishabh Sanjay5
- Predrag Gruevski
- Austin Rochford6
- Seth Axen7
- Utkarsh Mahweshwari8
- Du Phan3
- Rob Zinkov
- Volodymyr (Vlad) Kazantsev
- Arunava
- Mragank Shekhar9
- Alexandre Andorra10
- Asael A Matamoros
- Ero Carrera
- Hector Munoz11
- Marco Edward Gorelli12
- Michael Osthege13
- Ashish Kumar
- Kyle Beauchamp
- Sarina
- 1. IMASL-CONICET
- 2. @lumoanalytics
- 3. Google
- 4. Bits Pilani
- 5. Indian Institute of Technology, Kanpur
- 6. Monetate
- 7. @mlcolab
- 8. @Browserstack
- 9. Rattle
- 10. @pymc-labs
- 11. AMDI
- 12. Quansight
- 13. Forschungszentrum Jülich GmbH
Description
v0.15.0 (2023 Feb 15) What's Changed New features
- Adds Savage-Dickey density ratio plot for Bayes factor approximation. (2037, 2152)
- Add
CmdStanPySamplingWrapper
andPyMCSamplingWrapper
classes (2158) - Changed dependency on netcdf4-python to h5netcdf (2122)
- Fix
reloo
outdated usage ofELPDData
(2158) - plot_bpv smooth discrete data only when computing u_values (2179)
- Fix bug when beanmachine objects lack some fields (2154)
- Fix gap for
plot_trace
with optionkind="rank_bars"
(2180) - Fix
plot_lm
unsupported usage ofnp.tile
(2186) - Update
_z_scale
to work with SciPy 1.10 (2186) - Fix bug in BaseLabeller when combining with with NoVarLabeller (2200)
- Add PyMC and CmdStanPy sampling wrapper examples (2158)
- Fix docstring for plot_trace chain_prop and compact_prop parameters (2176)
- Add video of contributing to ArviZ webinar in contributing guide (2184)
- Fix dimension ordering for
plot_trace
with divergences (2151)
Full Changelog: https://github.com/arviz-devs/arviz/compare/v0.14.0...v0.15.0
Notes
Files
arviz-devs/arviz-v0.15.0.zip
Files
(9.6 MB)
Name | Size | Download all |
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md5:f6e837b8cdff743739f195a8d04a6822
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Additional details
Related works
- Is supplement to
- https://github.com/arviz-devs/arviz/tree/v0.15.0 (URL)