pymvpa2 2.4.0.1-1 source package in Ubuntu
Changelog
pymvpa2 (2.4.0.1-1) unstable; urgency=medium
* Upstream snapshot release
- addresses compatibility issue with recent scipy
* debian/patches/0001-BF-allow-to-compare-SmartVersion-None.patch
- CPed from PR to resolve failing test whenever IPython is N/A
-- Yaroslav Halchenko <email address hidden> Wed, 21 Oct 2015 11:46:49 -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 |
|---|
Downloads
| File | Size | SHA-256 Checksum |
|---|---|---|
| pymvpa2_2.4.0.1-1.dsc | 2.3 KiB | 6ff8af0785334294d248b140d9b5f28cb9830f10f8115cd3b9ba26e7d39190ce |
| pymvpa2_2.4.0.1.orig.tar.gz | 7.7 MiB | 77f9e0f98e2e1aff2db505f878721def73e3483118d89594efdd4913ae5af68a |
| pymvpa2_2.4.0.1-1.debian.tar.xz | 310.2 KiB | 633cde4012dd3594389a060de50e2c848420c2f722134ca121493d95599c94ee |
Available diffs
- diff from 2.4.0-1 to 2.4.0.1-1 (99.1 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.
