pymvpa2 2.4.1-1 source package in Ubuntu
Changelog
pymvpa2 (2.4.1-1) unstable; urgency=medium * Fresh upstream release * debian/{control,rules} - Use swig2.0 (or swig3.0 < 3.0.5). See https://github.com/swig/swig/issues/563 -- Yaroslav Halchenko <email address hidden> Wed, 18 Nov 2015 13:24:34 -0500
Upload details
- Uploaded by:
- NeuroDebian Team
- Uploaded to:
- Sid
- Original maintainer:
- NeuroDebian Team
- Architectures:
- any all
- Section:
- python
- Urgency:
- Medium Urgency
See full publishing history Publishing
Series | Published | Component | Section | |
---|---|---|---|---|
Xenial | release | universe | python |
Downloads
File | Size | SHA-256 Checksum |
---|---|---|
pymvpa2_2.4.1-1.dsc | 2.3 KiB | 3ff6768b5aa00e857f7c28fdf759b29287a9ac42d369af8e681a7852cfd7a19e |
pymvpa2_2.4.1.orig.tar.gz | 7.7 MiB | accf1c143b396b15643ea536a060df95292b43cd14a4f5061777d1b1f434db8b |
pymvpa2_2.4.1-1.debian.tar.xz | 309.1 KiB | 7a53303e800eb7ca3e49f9261efcdd87f04356be747182697fc05c734936ea94 |
Available diffs
- diff from 2.4.0.1-1 to 2.4.1-1 (28.2 KiB)
No changes file available.
Binary packages built by this source
- python-mvpa2: multivariate pattern analysis with Python v. 2
PyMVPA eases pattern classification analyses of large datasets, with an
accent on neuroimaging. It provides high-level abstraction of typical
processing steps (e.g. data preparation, classification, feature selection,
generalization testing), a number of implementations of some popular
algorithms (e.g. kNN, Ridge Regressions, Sparse Multinomial Logistic
Regression), and bindings to external machine learning libraries (libsvm,
shogun).
.
While it is not limited to neuroimaging data (e.g. fMRI, or EEG) it
is eminently suited for such datasets.
.
This is a package of PyMVPA v.2. Previously released stable version
is provided by the python-mvpa package.
- python-mvpa2-doc: documentation and examples for PyMVPA v. 2
This is an add-on package for the PyMVPA framework. It provides a
HTML documentation (tutorial, FAQ etc.), and example scripts.
In addition the PyMVPA tutorial is also provided as IPython notebooks.
- python-mvpa2-lib: low-level implementations and bindings for PyMVPA v. 2
This is an add-on package for the PyMVPA framework. It provides a low-level
implementation of an SMLR classifier and custom Python bindings for the LIBSVM
library.
.
This is a package of a development snapshot. The latest released version is
provided by the python-mvpa-lib package.