Dear PyMVPA users, We are glad to announce the availability of a minor 0.4.6 bugfix release for our stable branch of PyMVPA.
Sources: Tagged and pushed to http://github.com/PyMVPA/PyMVPA Tarball available at http://alioth.debian.org/frs/?group_id=30954 Debian/Ubuntu: 0.4.6 available from the official Debian experimental repository and from http://neuro.debian.net/ Windows: Installer of PyMVPA for python2.6: http://alioth.debian.org/frs/?group_id=30954 RPM-based: to come upon demand/request Website: updated This is a bugfix release in 0.4 series. 0.6 development is leaping forward -- master on github reflects 0.6 development. Kudos to James Kyle for testing pymvpa with recent numpy/scipy and taking care about macports. Changelog for the 0.4.6 release is: * Fixed (few BF commits): - Compatibility with numpy 1.5.1 (histogram) and scipy 0.8.0 (workaround for a regression in legendre) - Compatibility with libsvm 3.0 - :class:`~mvpa.clfs.plr.PLR` robustification * Enhancements - Enforce suppression of numpy warnings while running unittests. Also setting verbosity >= 3 enables all warnings (Python, NumPy, and PyMVPA) - :file:`doc/examples/nested_cv.py` example (adopted from 0.5) - Introduced base class :class:`~mvpa.clfs.base.LearnerError` for classifiers' exceptions (adopted from 0.5) - Adjusted example data to live upto nibabel's warranty of NIfTI standard-compliance - More robust operation of MC iterations -- skip iterations where classifier experienced difficulties and raise an exception (e.g. due to degenerate data) Enjoy! -- .-. =------------------------------ /v\ ----------------------------= Keep in touch // \\ (yoh@|www.)onerussian.com Yaroslav Halchenko /( )\ ICQ#: 60653192 Linux User ^^-^^ [175555] _______________________________________________ Pkg-ExpPsy-PyMVPA mailing list [email protected] http://lists.alioth.debian.org/mailman/listinfo/pkg-exppsy-pymvpa
