.. _whats_new:

.. currentmodule:: pystan

============
 What's New
============

v2.7.0.0 (21. July 2015)
=======================
-   Update Stan source to v2.7.0 (`release notes <https://github.com/stan-dev/stan/releases/tag/v2.7.0>`_).
-   Highlights: Black-box variational inference, mean field and full rank (`#1505 <https://github.com/stan-dev/stan/pull/1505>`_),
    standalone Math library `#1520 <https://github.com/stan-dev/stan/issues/1520>`_.

v2.6.3.0 (21. Mar 2015)
=======================
- Update Stan source to v2.6.3 (`release notes <https://github.com/stan-dev/stan/releases/tag/v2.6.3>`_).

v2.6.0.0 (9. Feb 2015)
=======================
- Update Stan source to v2.6.0 (`release notes <https://github.com/stan-dev/stan/releases/tag/v2.6.0>`_).

v2.5.0.2 (30. Jan 2015)
=======================
- Fix bug in rdump (for >1 dimensional arrays)

v2.5.0.1 (14. Nov 2014)
=======================
- Support for pickling fit objects (experimental)
- Fix bug that occurs when printing fit summary

v2.5.0.0 (21. Oct 2014)
=======================
- Update Stan source to v2.5.0
- Fix several significant bugs in the ``extract`` method

v2.4.0.3 (9. Sept 2014)
=======================
- Performance improvements for the printed summary of a fit.

v2.4.0.2 (6. Sept 2014)
=======================
- Performance improvements for the ``extract`` method (5-10 times faster)
- Performance improvements for the printed summary of a fit. Printing
  a summary of a model with more than a hundred parameters is not recommended.
  Consider using ``extract`` and calculating summary statistics for the
  parameters of interest.

v2.4.0.1 (31. July 2014)
========================
- Sets LBFGS as default optimizer.
- Adds preliminary support for Python binary wheels on OS X and Windows.
- Fixes bug in edge case in new summary code.

v2.4.0.0 (26. July 2014)
========================
- Stan 2.4 (LBFGS optimizer added, Nesterov removed)
- Improve display of fit summaries

v2.3.0.0 (26. June 2014)
========================
- Stan 2.3 (includes user-defined functions, among other improvements).
- Optimizing returns a vector (array) by default instead of a dictionary.

v2.2.0.1 (30. April 2014)
=========================
- Add support for reading Stan's R dump files.
- Add support for specifying parameters of interest in ``stan``.
- Add Windows installation instructions. Thanks to @patricksnape.
- Lighten source distribution.

v2.2.0.0 (16. February 2014)
============================
- Updates Stan to v2.2.0.

v2.1.0.1 (27. January 2014)
===========================
- Implement model name obfuscation. Thanks to @karnold
- Improve documentation of StanFit objects

v2.1.0.0 (26. December 2013)
============================
- Updates Stan code to v2.1.0.

v2.0.1.3 (18. December 2013)
============================
- Sampling is parallel by default.
- ``grad_log_prob`` method of fit objects is available.

v2.0.1.2 (1. December 2013)
============================
- Improves setuptools support.
- Allows sampling chains in parallel using multiprocessing. See the ``n_jobs``
  parameter for ``stan()`` and the ``sampling`` method.
- Allows users to specify initial values for chains.

v2.0.1.1 (18. November 2013)
============================
- Clean up random_seed handling (Stephan Hoyer).
- Add fit methods get_seed, get_inits, and get_stancode.

v2.0.1.0 (24. October 2013)
============================

- Updated to Stan 2.0.1.
- Specifying ``sample_file`` now works as expected.

v2.0.0.1 (23. October 2013)
============================

- Stan ``array`` parameters are now handled correctly.
- Ancillary methods added to fit instances.
- Fixed bug that caused parameters in ``control`` dict to be ignored.

v2.0.0.0 (21. October 2013)
============================

- Stan source updated to to 2.0.0.
- PyStan version now mirrors Stan version.
- Rudimentary plot and traceplot methods have been added to fit instances.
- Warmup and sampling progress now visible.

v.0.2.2 (28. September 2013)
============================

- ``log_prob`` method available from StanFit instances.
- Estimated sample size and Rhat included in summary.

v.0.2.1 (17. September 2013)
============================

- ``StanModel`` instances can now be pickled.
- Adds basic support for saving output to ``sample_file``.

v.0.2.0 (25. August 2013)
=========================

- ``optimizing`` method working for scalar, vector, and matrix parameters
- stanfit objects now have ``summary`` and ``__str__`` methods à la RStan
- stan source updated to commit cc82d51d492d26f754fd56efe22a99191c80217b (July 26, 2013)
- IPython-relevant bug fixes

v.0.1.1 (19. July 2013)
=======================

- Support for Python 2.7 and Python 3.3
- ``stan`` and ``stanc`` working with common arguments
