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Name: python310-arviz | Distribution: openSUSE Tumbleweed |
Version: 0.18.0 | Vendor: openSUSE |
Release: 1.1 | Build date: Thu Jul 11 04:36:53 2024 |
Group: Unspecified | Build host: reproducible |
Size: 5031593 | Source RPM: python-arviz-0.18.0-1.1.src.rpm |
Packager: https://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.
Apache-2.0
* 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.
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