Published September 28, 2024
| Version v0.20.0
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
- Seth Axen5
- Rishabh Sanjay6
- Predrag Gruevski
- Austin Rochford7
- Utkarsh Mahweshwari8
- Volodymyr (Vlad) Kazantsev
- Rob Zinkov
- Du Phan3
- Asael A Matamoros
- Arunava
- Mragank Shekhar9
- Alexandre Andorra10
- Ero Carrera
- Michael Osthege11
- Hector Munoz
- Marco Edward Gorelli12
- Tomás Capretto10
- Thummanoon Kunanuntakij13
- Sarina
- 1. PyMC-Labs, UNSAM
- 2. @lumoanalytics
- 3. Google
- 4. Bits Pilani
- 5. @mlcolab
- 6. Purdue University
- 7. Monetate
- 8. @Browserstack
- 9. Pinegap.us
- 10. @pymc-labs
- 11. Forschungszentrum Jülich GmbH
- 12. Quansight
- 13. TU Wien
Description
The highlight this release is the addition of optimized simultaneous ECDF confidence bands. It also includes support for idata["new_group"] = dataset directly and several bug fixes and documentation improvements.
For users of arviz.from_pytree it will now be necessary to install dm-tree manually as it was only used in this one function and has been made an optional dependency.
Full changelog available on GitHub.
Notes
If you use this software, please cite it as below.
Files
arviz-devs/arviz-v0.20.0.zip
Files
(9.6 MB)
| Name | Size | Download all |
|---|---|---|
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md5:aa5cbfaac4e3d10ffbcede99f2f0586a
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9.6 MB | Preview Download |
Additional details
Related works
- Is supplement to
- Software: https://github.com/arviz-devs/arviz/tree/v0.20.0 (URL)