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docs: Add v0.6.0 release notes (#1314)
* Add release notes for v0.6.0 * Update ROADMAP to note discovery test statistic support added
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docs/governance/ROADMAP.rst

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- |check| Write submission to `JOSS <https://joss.theoj.org/>`__ (Issue
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#502) and write submission to
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`pyOpenSci <https://www.pyopensci.org/>`__ [2019-Q4 → 2020-Q2]
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- |uncheck| Contribute to `IRIS-HEP Analysis Systems
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- |check| Contribute to `IRIS-HEP Analysis Systems
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Milestones <https://docs.google.com/spreadsheets/d/1VKpHlQWXu_p8AUv5E5H_BzqF_i7hh2Z-Id0XPwNHu8o/edit#gid=1864915304>`__
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"`Initial roadmap for ecosystem
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coherency <https://github.com/iris-hep/project-milestones/issues/8>`__"
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- |check| Add sampling with toys (PR #558) [2019-Q3]
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- |uncheck| Make general modeling choices (e.g., Issue #293) [2019-Q4 →
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2020-Q1]
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- |uncheck| Add "discovery" test stats (p0) (PR #520) [2019-Q4 → 2020-Q1]
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- |check| Add "discovery" test stats (p0) (PR #520) [2019-Q4 → 2020-Q1]
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- |uncheck| Add better Model creation [2019-Q4 → 2020-Q1]
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- |check| Add background model support (Issues #514, #946) [2019-Q4 → 2020-Q1]
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- |check| Develop interface for the optimizers similar to tensor/backend

docs/release-notes.rst

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Release Notes
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=============
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.. include:: release-notes/v0.6.0.rst
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.. include:: release-notes/v0.5.4.rst
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.. include:: release-notes/v0.5.3.rst

docs/release-notes/v0.5.3.rst

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Contributors
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------------
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``v0.5.3`` benefited from contributions from:
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* Karthikeyan Singaravelan
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.. |release v0.5.3| replace:: ``v0.5.3``

docs/release-notes/v0.6.0.rst

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|release v0.6.0|_
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=================
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This is a minor release from ``v0.5.4`` → ``v0.6.0``.
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Important Notes
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---------------
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* Please note this release has **API breaking changes** and carefully read these
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notes while updating your code to the ``v0.6.0`` API.
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Perhaps most relevant is the changes to the :func:`pyhf.infer.hypotest` API, which now
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uses a ``calctype`` argument to differentiate between using an asymptotic calculator
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or a toy calculator, and a ``test_stat`` kwarg to specify which test statistic
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the calculator should use, with ``'qtilde'``, coresponding to
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:func:`pyhf.infer.test_statistics.qmu_tilde`, now the default option.
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It also relies more heavily on using kwargs to pass options through to the optimizer.
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* Support for the discovery test statistic, :math:`q_{0}`, has now been added through
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the :func:`pyhf.infer.test_statistics.q0` API.
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* Support for pseudoexperiments (toys) has been added through the
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:func:`pyhf.infer.calculators.ToyCalculator` API.
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Please see the corresponding `example notebook`_ for more detailed exploration
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of the API.
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* The ``minuit`` extra, ``python -m pip install pyhf[minuit]``, now uses and requries
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the |iminuit docs|_ ``v2.X`` release series and API.
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Note that ``iminuit`` ``v2.X`` can result in slight differences in minimization
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results from ``iminuit`` ``v1.X``.
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* The documentation will now be versioned with releases on ReadTheDocs.
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Please use `pyhf.readthedocs.io`_ to access the documentation for the latest
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stable realease of ``pyhf``.
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* ``pyhf`` is transtioning away from Stack Overflow to `GitHub Discussions`_ for
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resolving user questions not covered in the documentation.
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Please check the `GitHub Discussions`_ page to search for discussions addressing
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your questions and to open up a new discussion if your question is not covered.
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* ``pyhf`` has published a paper in the Journal of Open Source Software. |JOSS DOI|
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Please make sure to include the paper reference in all citations of ``pyhf``, as
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documented in the `Use and Citations`_ section of the documentation.
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Fixes
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-----
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* Fix bug where all extras triggered warning for installation of the ``contrib`` extra.
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* ``float``-like values are used in division for :func:`pyhf.writexml`.
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* ``Model.spec`` now supports building new models from existing models.
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* :math:`p`-values are now reported based on their quantiles, instead of interpolating
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test statistics and converting to :math:`p`-values.
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* Namespace collisions between ``uproot3`` and ``uproot``/``uproot4`` have been fixed
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for the ``xmlio`` extra.
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* The ``normsys`` modifier now uses the :mod:`pyhf.interpolators.code4` interpolation
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method by default.
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* The ``histosys`` modifier now uses the :mod:`pyhf.interpolators.code4p` interpolation
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method by default.
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Features
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--------
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Python API
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~~~~~~~~~~
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* The ``tensorlib`` API now supports a ``tensorlib.to_numpy`` and
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``tensorlib.ravel`` API.
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* The :func:`pyhf.infer.calculators.ToyCalculator` API has been added to support
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pseudoexperiments (toys).
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* The emperical test statistic distribution API has been added to help support the
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``ToyCalculator`` API.
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* Add a ``tolerance`` kwarg to the optimizer API to set a ``float`` value as a
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tolerance for termination of the fit.
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* The :func:`pyhf.optimize.opt_minuit.minuit_optimizer` optimizer now can return
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correlations of the fitted parameters through use of the ``return_correlation``
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Boolean kwarg.
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* Add the ``pyhf.utils.citation`` API to get a ``str`` of the preferred BibTeX entry
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for citation of the version of ``pyhf`` installed.
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See the example for the CLI API for more information.
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* The :func:`pyhf.infer.hypotest` API now uses a ``calctype`` argument to differentiate
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between using an asymptotic calculator or a toy calculator, and a ``test_stat`` kwarg
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to specify which test statistic to use.
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It also relies more heavily on using kwargs to pass options through to the optimizer.
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* The default ``test_stat`` kwarg for :func:`pyhf.infer.hypotest` and the calculator
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APIs is ``'qtilde'``, which corresponds to the alternative test statistic
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:func:`pyhf.infer.test_statistics.qmu_tilde`.
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* The return type of :math:`p`-value like functions is now a 0-dimensional ``tensor``
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(with shape ``()``) instead of a ``float``.
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This is required to support end-to-end automatic differenation in future releases.
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CLI API
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~~~~~~~
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* The CLI API now suppoerts a ``--citation`` or ``--cite`` option to print the
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preferred BibTeX entry for citation of the version of ``pyhf`` installed.
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.. code-block:: shell
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$ pyhf --citation
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@software{pyhf,
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author = "{Heinrich, Lukas and Feickert, Matthew and Stark, Giordon}",
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title = "{pyhf: v0.6.0}",
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version = {0.6.0},
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doi = {10.5281/zenodo.1169739},
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url = {https://github.com/scikit-hep/pyhf},
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}
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@article{pyhf_joss,
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doi = {10.21105/joss.02823},
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url = {https://doi.org/10.21105/joss.02823},
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year = {2021},
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publisher = {The Open Journal},
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volume = {6},
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number = {58},
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pages = {2823},
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author = {Lukas Heinrich and Matthew Feickert and Giordon Stark and Kyle Cranmer},
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title = {pyhf: pure-Python implementation of HistFactory statistical models},
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journal = {Journal of Open Source Software}
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}
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Contributors
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------------
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``v0.6.0`` benefited from contributions from:
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* Alexander Held
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* Marco Gorelli
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* Pradyumna Rahul K
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* Eric Schanet
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* Henry Schreiner
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.. |release v0.6.0| replace:: ``v0.6.0``
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.. _`release v0.6.0`: https://github.com/scikit-hep/pyhf/releases/tag/v0.6.0
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.. _`example notebook`: https://pyhf.readthedocs.io/en/latest/examples/notebooks/toys.html
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.. |iminuit docs| replace:: ``iminuit``
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.. _`iminuit docs`: https://iminuit.readthedocs.io/
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.. _`pyhf.readthedocs.io`: https://pyhf.readthedocs.io/
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.. _`GitHub Discussions`: https://github.com/scikit-hep/pyhf/discussions
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.. |JOSS DOI| image:: https://joss.theoj.org/papers/10.21105/joss.02823/status.svg
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:target: https://doi.org/10.21105/joss.02823
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.. _`Use and Citations`: https://pyhf.readthedocs.io/en/latest/citations.html

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