diff options
Diffstat (limited to 'debian/control')
| -rw-r--r-- | debian/control | 52 |
1 files changed, 37 insertions, 15 deletions
diff --git a/debian/control b/debian/control index d1025c2..f382280 100644 --- a/debian/control +++ b/debian/control @@ -1,20 +1,33 @@ Source: mlpy +Maintainer: NeuroDebian Team <team@neuro.debian.net> +Uploaders: Yaroslav Halchenko <debian@onerussian.com>, + Michael Hanke <mih@debian.org> Section: python Priority: optional -Maintainer: NeuroDebian Team <team@neuro.debian.net> -Uploaders: Yaroslav Halchenko <debian@onerussian.com>, Michael Hanke <michael.hanke@gmail.com> -Build-Depends: cdbs, debhelper (>= 5.0.38), libgsl0-dev, python-all-dev (>= 2.4), python-support (>= 0.6), python-numpy, python-sphinx, texlive, texlive-latex-extra, help2man -Standards-Version: 3.9.0 +Build-Depends: cdbs, + debhelper (>= 5.0.38), + dh-python, + libgsl0-dev, + python-all-dev, + python-numpy, + python-sphinx, + texlive, + texlive-latex-extra, + help2man +Standards-Version: 3.9.6 +Vcs-Browser: https://anonscm.debian.org/cgit/pkg-exppsy/mlpy.git +Vcs-Git: git://anonscm.debian.org/pkg-exppsy/mlpy.git Homepage: https://mlpy.fbk.eu/ -Vcs-Browser: http://git.debian.org/?p=pkg-exppsy/mlpy.git -Vcs-Git: git://git.debian.org/git/pkg-exppsy/mlpy.git Package: python-mlpy Architecture: all -Depends: ${misc:Depends}, ${python:Depends}, python, python-numpy, python-mlpy-lib(>= ${source:Version}) -Provides: ${python:Provides} -XB-Python-Version: ${python:Versions} +Depends: ${misc:Depends}, + ${python:Depends}, + python, + python-numpy, + python-mlpy-lib (>= ${source:Version}) Suggests: python-mvpa +Provides: ${python:Provides} Description: high-performance Python package for predictive modeling mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for @@ -26,7 +39,7 @@ Description: high-performance Python package for predictive modeling Neighbor), FDA, SRDA, PDA, DLDA (Fisher, Spectral Regression, Penalized, Diagonal Linear Discriminant Analysis) for classification and feature weighting, I-RELIEF, DWT and FSSun for feature weighting, - *RFE (Recursive Feature Elimination) and RFS (Recursive Forward + RFE (Recursive Feature Elimination) and RFS (Recursive Forward Selection) for feature ranking, DWT, UWT, CWT (Discrete, Undecimated, Continuous Wavelet Transform), KNN imputing, DTW (Dynamic Time Warping), Hierarchical Clustering, k-medoids, Resampling Methods, @@ -35,9 +48,11 @@ Description: high-performance Python package for predictive modeling Package: python-mlpy-doc Architecture: all Section: doc -Depends: ${misc:Depends}, libjs-jquery +Depends: ${misc:Depends}, + libjs-jquery, + libjs-underscore Suggests: python-mlpy -Description: documention and examples for mlpy +Description: documentation and examples for mlpy mlpy provides high level procedures that support, with few lines of code, the design of rich Data Analysis Protocols (DAPs) for preprocessing, clustering, predictive classification and feature @@ -47,11 +62,18 @@ Description: documention and examples for mlpy This package provides user documentation for mlpy in various formats (HTML, PDF). - Package: python-mlpy-lib Architecture: any -Depends: ${misc:Depends}, ${shlibs:Depends}, ${python:Depends}, python-numpy +Depends: ${misc:Depends}, + ${shlibs:Depends}, + ${python:Depends}, + python-numpy Provides: ${python:Provides} -XB-Python-Version: ${python:Versions} Description: low-level implementations and bindings for mlpy + mlpy provides high level procedures that support, with few lines of + code, the design of rich Data Analysis Protocols (DAPs) for + preprocessing, clustering, predictive classification and feature + selection. Methods are available for feature weighting and ranking, + data resampling, error evaluation and experiment landscaping. + . This is an add-on package for the mlpy providing compiled core functionality. |