PyMVPA Development Changelog
This changelog only lists rather macroscopic changes to PyMVPA. The full VCS
changelog is available here:
http://git.debian.org/?p=pkg-exppsy/pymvpa.git;a=summary
‘Closes’ statement IDs refer to the Debian bug tracking system and can be
queried by visiting the URL:
http://bugs.debian.org/<bug id>
- Unreleased changes
Changes described here are not yet released, but available from VCS
repository.
(currently none)
Releases
- 0.2.0 (Wed, 29 May 2008)
- New Splitter class (HalfSplitter) to split into first and second half.
- New Splitter class (CustomSplitter) to allow for splits with an arbitrary
number of datasets per split and the ability to specify the association
of samples with any of those datasets (not just the validation set).
- New sparse multinomial logistic regression (SMLR) classifier and
associated sensitivity analyzer.
- New least angle regression classifier (LARS).
- New gaussian process regression classifier (GPR).
- Initial documentation on extending PyMVPA.
- Switch to Sphinx for documentation handling.
- New example comparing the performance of all classifiers on some
artificial datasets.
- New data mapper performing singular value decomposition (SVDMapper) and an
example showing its usage.
- More sophisticated data preprocessing: removal of non-linear trends and
other arbitrary confounding regressors.
- New Harvester class to feed data from arbitrary generators into multiple
objects and store results of returned values and arbitrary properties.
- Added documentation about how to build patched libsvm version with sane
debug output.
- libsvm bindings are not build by default anymore. Instructions on how to
reenable them are available in the manual.
- New wrapper from SVM implementation of the Shogun toolbox.
- Important bugfix in RFE, which reported incorrect feature ids in some
cases.
- Added ability to compute stats/probabilities for all measures and transfer
errors.
- 0.1.0 (Wed, 20 Feb 2008)
