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python312-arviz-0.20.0-1.1 RPM for noarch

From OpenSuSE Ports Tumbleweed for noarch

Name: python312-arviz Distribution: openSUSE Tumbleweed
Version: 0.20.0 Vendor: openSUSE
Release: 1.1 Build date: Sun Oct 6 12:24:01 2024
Group: Unspecified Build host: reproducible
Size: 5964608 Source RPM: python-arviz-0.20.0-1.1.src.rpm
Packager: http://bugs.opensuse.org
Url: http://github.com/arviz-devs/arviz
Summary: Exploratory analysis of Bayesian models
 
ArviZ is a Python package for exploratory analysis of Bayesian models. Includes
functions for posterior analysis, data storage, model checking, comparison and
diagnostics.

Provides

Requires

License

Apache-2.0

Changelog

* Sun Oct 06 2024 Ben Greiner <code@bnavigator.de>
  - Update to 0.20.0
    [#]#New features
    * Add optimized simultaneous ECDF confidence bands (2368)
    * Add support for setting groups with idata[group] (2374)
    [#]# Maintenance and fixes
    * Make dm-tree and optional dependency (2379)
    * Fix bug in psislw modifying input inplace (2377)
    * Fix behaviour of two dimensional KDE plot with recent
      matplotlib releases (2383)
    * Make defaults in plot_compare more intuitive (2388)
    [#]# Documentation
    * Added extensions of virtual environments in .gitignore (2371)
    * Fixed the issue in the Contribution References Documentation
      (2369)
    * Improve docstrings for loo and waic (2366)
  - Release 0.19.0
    [#]# New Features
    * Use revised Pareto k threshold (2349)
    * Added arguments ci_prob, eval_points, rvs, and random_state to
      plot_ecdf (2316)
    * Deprecated rcParam stats.hdi_prob and replaced with
      stats.ci_prob (2316)
    * Expose features from arviz-base, arviz-stats and arviz-plots as
      arviz.preview submodule (2361)
    [#]# Maintenance and fixes
    * Ensure support with numpy 2.0 (2321)
    * Update testing strategy to include an environment without
      optional dependencies and an environment with scientific python
      nightlies (2321)
    * Address bokeh related deprecations (2362)
    * Fix legend overwriting issue in plot_trace (2334)
    [#]# Deprecation
    * Support for arrays and DataArrays in plot_khat has been
      deprecated. Only ELPDdata will be supported in the future
      (2349)
    * Removed arguments values2, fpr, pointwise, and pit in plot_ecdf
      (2316)
  - Update test setup
    * Disable numba test due to missing compatibility with numpy 2.1
    * Remove old bokeh test skips
    * Add netCDF4 to tests
    * Run in parallel with pytest-xdist
* Thu Jul 11 2024 Steve Kowalik <steven.kowalik@suse.com>
  - Update to 0.18.0:
    * New features
      + Add new example data rugby_field and update rugby example data
      + Support for pytrees and robust to nested dictionaries.
      + Add .close method to InferenceData
    * Maintenance and fixes
      + Fix deprecation warnings in multiple dependencies
    * Deprecation
      + Removed arguments values2, fpr, pointwise, npoints, and pit in
      plot_ecdf
  - Restrict numpy to < 2.
* Mon Mar 18 2024 Dirk Müller <dmueller@suse.com>
  - update to 0.17.1:
    * Fix deprecations introduced in latest pandas and xarray
      versions, and prepare for numpy 2.0 ones (2315))
    * Refactor ECDF code
    * Fix `plot_forest` when Numba is installed
* Sat Mar 02 2024 Ben Greiner <code@bnavigator.de>
  - Skip python39: no xarray anymore
  - Build PEP517 wheel
  - Skip a failing bokeh test
* Sat Jan 20 2024 Dirk Müller <dmueller@suse.com>
  - update to 0.17.0:
    * Add prior sensitivity diagnostic `psens`
    * Add filter_vars functionality to
      `InfereceData.to_dataframe`method
    * Update requirements: matplotlib>=3.5, pandas>=1.4.0,
      numpy>=1.22.0
    * Fix behaviour of `plot_ppc` when dimension order isn't
      `chain, draw, ...`
    * Avoid repeating the variable name in `plot_ppc`,
      `plot_bpv`, `plot_loo_pit`... when repeated.
    * Add support for the latest CmdStanPy.
    * Fix import error on windows due to missing encoding
      argument
    * Add ``__delitem__`` method to InferenceData
    * Improve the docstring of `psislw`
    * Rerun the quickstart and working with InferenceData notebooks
    * Several fixes in `plot_ppc` docstring
* Wed Jul 26 2023 Dirk Müller <dmueller@suse.com>
  - update to 0.16.1:
    * Fix Numba deprecation errors and incorrect nopython usage
    * Rerun Numba notebook
* Sun Jul 16 2023 Dirk Müller <dmueller@suse.com>
  - 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)
* Fri Jun 02 2023 Steve Kowalik <steven.kowalik@suse.com>
  - No longer skip Python 3.8 and 3.11.
  - Add missing BuildRequires on dask-array.
* Wed Mar 22 2023 Daniel Garcia <daniel.garcia@suse.com>
  - skip python 3.11 and python 3.8 because some dependencies doesn't
    support that python versions
  - Update to 0.15.1
    - Fix memory usage and improve efficiency in `from_emcee`
      ([2215](https://github.com/arviz-devs/arviz/pull/2215))
    - Lower pandas version needed
      ([2217](https://github.com/arviz-devs/arviz/pull/2217))
  - 0.15.0
    - Adds Savage-Dickey density ratio plot for Bayes factor
      approximation.
      ([2037](https://github.com/arviz-devs/arviz/pull/2037),
      [2152](https://github.com/arviz-devs/arviz/pull/2152))
    - Add `CmdStanPySamplingWrapper` and `PyMCSamplingWrapper` classes
      ([2158](https://github.com/arviz-devs/arviz/pull/2158))
    - Changed dependency on netcdf4-python to h5netcdf
      ([2122](https://github.com/arviz-devs/arviz/pull/2122))
    - Fix `reloo` outdated usage of `ELPDData`
      ([2158](https://github.com/arviz-devs/arviz/pull/2158))
    - plot_bpv smooth discrete data only when computing u_values
      ([2179](https://github.com/arviz-devs/arviz/pull/2179))
    - Fix bug when beanmachine objects lack some fields
      ([2154](https://github.com/arviz-devs/arviz/pull/2154))
    - Fix gap for `plot_trace` with option `kind="rank_bars"`
      ([2180](https://github.com/arviz-devs/arviz/pull/2180))
    - Fix `plot_lm` unsupported usage of `np.tile`
      ([2186](https://github.com/arviz-devs/arviz/pull/2186))
    - Update `_z_scale` to work with SciPy 1.10
      ([2186](https://github.com/arviz-devs/arviz/pull/2186))
    - Fix bug in BaseLabeller when combining with with NoVarLabeller
      ([2200](https://github.com/arviz-devs/arviz/pull/2200))
* Thu Nov 24 2022 Daniel Garcia <daniel.garcia@suse.com>
  - Update to 0.14.0
    * Add weight_predictions function to allow generation of weighted predictions
      from two or more InfereceData with posterior_predictive groups and a set of
      weights (2147)
    * Add Savage-Dickey density ratio plot for Bayes factor approximation. (2037,
      [2152](#2152)
    * Adds rug plot for observed variables to plot_ppc. (2161)
    * Fix dimension ordering for plot_trace with divergences (2151)
  - v0.13.0 (2022 Oct 22)
    * Add side argument to plot_violin to allow single-sided violin plots (1996)
    * Added support for Bean Machine via the function from_beanmachine. (2107
    * Add support for warmup samples in from_pystan for PyStan 3. (2132
    * Add exception in az.plot_hdi for x of type np.datetime64 and smooth=True
      (2016)
    * Change ax.plot usage to ax.scatter in plot_pair (1990)
    * Example data has been moved to the arviz_example_data repository and is now
      included using git subtree. (2096 and 2105)
    * Bokeh kde contour plots started to use contourpy package (2104)
    * Update default Bokeh markers for rcparams (2104)
    * Correctly (re)order dimensions for bfmi and plot_energy (2126)
    * Fix bug with the dimension order dependency (2103)
    * Add testing module for labeller classes (2095)
    * Skip compression for object dtype while creating a netcdf file (2129)
    * Fix issue in dim generation when default dims are present in user inputed
      dims (2138)
    * Save InferenceData level attrs to netcdf and zarr (2131)
    * Update tests and docs for updated example data (2137)
    * Copy coords before modifying in ppcplot (2160)
    * Removed fill_last, contour and plot_kwargs arguments from plot_pair
      function (2085)
    * Add translation overview to contributing guide (2041)
    * Improve how to release page (2144)
  - v0.12.1 (2022 May 12)
    * Add stat_focus argument to arviz.summary (1998)
    * psislw now smooths log-weights even when shape is lower than 1/3(2011)
    * Fixes from_cmdstanpy, handles parameter vectors of length 1 (2023)
    * Fix typo in BaseLabeller that broke NoVarLabeller (2018)
    * Adding plotting guides (2025)
    * Update links to use new domain (2013)
  - v0.12.0 (2022 Mar 23)
    * Add new convenience function arviz.extract_dataset (1725)
    * Add combine_dims argument to several functions (1676)
    * [experimental] Enable dask chunking information to be passed to
      InferenceData.from_netcdf with regex support (1749)
    * Allow kwargs to customize appearance of the mean in plot_lm
    * Add dict option to from_cmdstan log_likelihood parameter (as in
      from_pystan)
    * Unify model comparison API. Both plot_compare, plot_elpd can now take dicts
      of InferenceData or ELPDData (1690)
    * Change default for rcParam stats.ic_pointwise to True (1690)
    * Add new plot type: plot_ecdf (1753)
    * Drop Python 3.6 support (1430)
    * Bokeh 3 compatibility. (1919)
    * Remove manual setting of 2d KDE limits (1939)
    * Pin to bokeh<3 version (1954)
    * Fix legend labels in plot_ppc to reflect prior or posterior. (1967)
    * Change DataFrame.append to pandas.concat (1973)
    * Fix axis sharing behaviour in plot_pair. (1985)
    * Fix parameter duplication problem with PyStan (1962)
    * Temporarily disable pyjags tests (1963)
    * Fix tuple bug in coords (1695)
    * Fix extend 'right' join bug (1718)
    * Update attribute handling for InferenceData (1357)
    * Fix R2 implementation (1666)
    * Added warning message in plot_dist_comparison() in case subplots go over
      the limit (1688)
    * Fix coord value ignoring for default dims (2001)
    * Fixed plot_posterior with boolean data (1707)
    * Fix min_ess usage in plot_ess (2002)
    * Fixed typo in Forestplot documentation
    * Restructured contributing section and added several new pages to help
      contributing to docs (1903)
* Sat Mar 05 2022 Atri Bhattacharya <badshah400@gmail.com>
  - Update to version 0.11.4:
    * Fix standard deviation code in density utils
* Thu Jan 14 2021 Atri Bhattacharya <badshah400@gmail.com>
  - Initial package.

Files

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/usr/lib/python3.12/site-packages/arviz-0.20.0.dist-info
/usr/lib/python3.12/site-packages/arviz-0.20.0.dist-info/INSTALLER
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/usr/lib/python3.12/site-packages/arviz-0.20.0.dist-info/METADATA
/usr/lib/python3.12/site-packages/arviz-0.20.0.dist-info/RECORD
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Fabrice Bellet, Sun Feb 9 01:37:00 2025