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python314-arviz-stats-1.3.3-1.1 RPM for noarch

From OpenSuSE Tumbleweed for noarch

Name: python314-arviz-stats Distribution: openSUSE Tumbleweed
Version: 1.3.3 Vendor: openSUSE
Release: 1.1 Build date: Sun Oct 25 13:23:54 2026
Group: Unspecified Build host: reproducible
Size: 1885524 Source RPM: python-arviz-stats-1.3.3-1.1.src.rpm
Packager: https://bugs.opensuse.org
Url: https://github.com/arviz-devs/arviz-base
Summary: Statistical computation and diagnostics for ArviZ
 
ArviZ computational/numeric features: statistical summaries, diagnostics, model comparison.

Provides

Requires

License

Apache-2.0

Changelog

* Sun Oct 25 2026 Dirk Müller <dmueller@suse.com>
  - update to 1.3.3:
    * Add PSIS LFO-CV
    * Accept coords in ci_in_rope, as its docstring documents
    * Correct interval for pit evaluation
    * Only build the summary's LaTeX repr when asked for
    * Add bivariate histogram and hexbin statistics
    * Add ELPD subclasses
    * Add default `ci_kind` handling in `ci_in_rope`
    * Miscelaneous docstrings fixes
    * Update citation information
    * More miscellaneous docstring fixes
    * Fix ddof in `summary` std computation
    * Hexbin and histogram2d: Use adaptive binning
    * Fix histogram with array-like bins
    * Allow hdi with prob=1
  - update to 1.3.2:
    * ### Maintenance and bug fixes
    * Respect ci_kind in summary for the stats and all kinds
    * Remove deprecated inplace in sort_values
    * Write the bandwidth into the kde gufunc output
    * Ensure correct order for bounds in circular std
    * Add PyMC and Bambi support for `loo_subsample`
    * Fix `p_loo` calculation in sub-sampled PSIS-LOO-CV
    * Fix rounding of `subsampling_dse` in `compare()`
    * Honour circular in the Numba KDE
    * Fix _mcse_sd to use ESS of squared deviations
    * Fix custom limits for circular KDE
    * Fix Kaplan–Meier estimates for integer event times
    * Fix covariance and split steps in `loo_moment_match`
    * Fix `num_samples` default in survival curves
    * Fix bug in acc_balanced, and switch to ddof=1
    * Fix `loo_subsample` pointwise output for multi-dim
      observations
    * Fix reloo SE, log weights, and input checks
    * Fix jacobian term for p_loo
    * ### Documentation
    * Correct the BaseArray summary statistic docstrings
    * Add weight_predictions to docs, add example
  - update to 1.3.1:
    * Fix NaN in `loo_score` CRPS and simplify score calculations
    * Fix truncated Cauchy combination: restore correct denominator
* Fri Aug 21 2026 Dirk Müller <dmueller@suse.com>
  - update to 1.3.0:
    * Summary: Preserve raw data and auto behaviour
    * Enhance k-fold cross-validation with random seed and
      pointwise handling
    * Add moment matching arg to main `loo()` function
    * Update Code of Conduct
    * Fix typos, grammar, and deprecated links in README and
      diagnostics
* Sun Jun 14 2026 Dirk Müller <dmueller@suse.com>
  - update to 1.2.0:
    * Return shapley values in original order
    * scale ISJ bw estimate by grid range rather than data range
    * Add kde2d functions
    * Generalize and refactor bayes_factor
    * Add p_worse, diff and elpd diagnostics to compare
    * prepare release
* Sun Apr 26 2026 Dirk Müller <dmueller@suse.com>
  - update to 1.1.0:
    * Generalize loo expectations
    * Add std, var, iqr and mad
    * Set histogram density=True by default
    * Add method to compute influential observations based on
      leave-one-out expectations
    * Add custom log-likelihood to `loo()`
    * Add new uniformity test
    * Fix mcse for circular variables
    * Make elpd_diff negative
    * Remove long docstring examples
    * Remove `khat` display in example docstring
    * Fix compare() docstring, return object column name now
      matches docstring
    * Update `compare()` docstring
    * Enhance method descriptions for R-hat computation
    * Document kwargs for kde across all layers
* Tue Mar 03 2026 Steve Kowalik <steven.kowalik@suse.com>
  - Initial release of 1.0.0.

Files

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/usr/lib/python3.14/site-packages/arviz_stats-1.3.3.dist-info
/usr/lib/python3.14/site-packages/arviz_stats-1.3.3.dist-info/INSTALLER
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/usr/lib/python3.14/site-packages/arviz_stats-1.3.3.dist-info/REQUESTED
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/usr/lib/python3.14/site-packages/arviz_stats-1.3.3.dist-info/licenses/LICENSE
/usr/lib/python3.14/site-packages/arviz_stats/__init__.py
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Fabrice Bellet, Tue Nov 3 22:47:30 2026