[pymvpa] PyMVPA 0.3 is out

[Michael Hanke]

Hi,

I'm pleased to annouce the release of PyMVPA 0.3. The changelog lists a
number of improvements:

  * Import of binary EEP files (used by EEProbe) and EEPDataset class.
  * Initial version of a meta dataset class (MetaDataset). This is a container
    for multiple datasets, which behaves like a dataset itself.
  * Regression performance is summarized now within RegressionStatistics.
  * Error functions: CorrErrorPFx, RelativeRMSErrorFx.
  * Measures: CorrCoef.
  * Data generators: chirp, wr1996
  * Few more examples: curvefitting, kerneldemo, smellit, projections
  * Updated kNN classifier. kNN is now able to use custom distance function
    to determine that nearest neighbors. It also (re)gained the ability to do
    simple majority or weighted voting.
  * Some initial convenience functions for plotting typical results and data
    exploration.
  * Unified configuration handling with support for user-specific and
    analysis-specific config files, as well as the ability to override all
    config settings via environment variables. The configuration handling is
    used for PyMVPA internal settings, but can also be easily used for
    custom (user-)settings.
  * Improved modularity, e.g. SciPy is not required anymore, but still very
    useful.
  * Initial implementations of ICA and PCA mapper using functionality provided
    by MDP. These mappers are more or less untested and should be used with
    great care.
  * Further improved docstrings of some classes, but still a long way to go.
  * New 'boxcar' mapper, which is the similar to the already present
    transformWithBoxCar() function, but implemented as a mapper.
  * New SampleGroupMapper that can be used for e.g. block averaging of
    samples. See new FAQ item.
  * Stripped redundant suffixes from module names, e.g.
    mvpa.datasets.niftidataset -> mvpa.datasets.nifti
  * mvpa.misc.cmdline variables opt* and opts* were groupped within
    opt and optss class instances. Also names of the options were
    changed to match 'dest' of the options. Use tools/refactor.py to
    quickly fix your custom code.
  * Change all references to PyMVPA website to www.pymvpa.org.
  * Make website stylesheet compatible with sphinx 0.4.
  * Several minor improvements of the compatibilty with MacOS.
  * Extended FAQ section of the manual.
  * Bugfix: doubleGammaHRF() ignoring K2 argument.


The source tarball and the windows installer are available for download
from the project page. Debian and Ubuntu packages are in the repository
and available to upgrade your installation during the next package
manager run.

We are still working on the binary installer for MacOS, but chances are
that we will succeed sometime soon ;-)


Michael


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GPG key:  1024D/3144BE0F Michael Hanke
http://apsy.gse.uni-magdeburg.de/hanke
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