Exploratory analysis of Bayesian models
http://github.com/arviz-devs/arviz
ArviZ is a Python package for exploratory analysis of Bayesian models. Includes
functions for posterior analysis, data storage, model checking, comparison and
diagnostics.
- Developed at devel:languages:python:numeric
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Source Files
Filename | Size | Changed |
---|---|---|
arviz-0.16.0.tar.gz | 0009413414 8.98 MB | |
python-arviz.changes | 0000006918 6.76 KB | |
python-arviz.spec | 0000003193 3.12 KB |
Revision 5 (latest revision is 11)
Dominique Leuenberger (dimstar_suse)
accepted
request 1098930
from
Dirk Mueller (dirkmueller)
(revision 5)
- update to 0.16.0: * Add InferenceData<->DataTree conversion functions (2253) * Bayes Factor plot: Use arviz's kde instead of the one from scipy (2237) * InferenceData objects can now be appended to existing netCDF4 files and to specific groups within them (2227) * Added facade functions `az.to_zarr` and `az.from_zarr` (2236) * Replace deprecated np.product with np.prod (2249) * Fix numba deprecation warning (2246) * Fixes for creating numpy object array (2233 and 2239) * Adapt histograms generated by plot_dist to input dtype (2247)
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