[Blends-commit] r3185 - in /projects/science/trunk/debian-science/tasks: imageanalysis machine-learning

Sat Feb 25 19:57:19 UTC 2012

Author: tille
Date: Sat Feb 25 19:57:18 2012
New Revision: 3185

URL: http://svn.debian.org/wsvn/blends/?sc=1&rev=3185
Log:
Information of package in unstable dropped; Added information about prospective packages

Modified:
    projects/science/trunk/debian-science/tasks/imageanalysis
    projects/science/trunk/debian-science/tasks/machine-learning

Modified: projects/science/trunk/debian-science/tasks/imageanalysis
URL: http://svn.debian.org/wsvn/blends/projects/science/trunk/debian-science/tasks/imageanalysis?rev=3185&op=diff
==============================================================================

--- projects/science/trunk/debian-science/tasks/imageanalysis (original)
+++ projects/science/trunk/debian-science/tasks/imageanalysis Sat Feb 25 19:57:18 2012
@@ -24,3 +24,40 @@
 
 Suggests: libvisad-java
 WNPP: 641399
+Responsible: Mathieu Malaterre <mathieu.malaterre at gmail.com>
+Homepage: http://www.ssec.wisc.edu/~billh/visad.html
+License: GPL, LGPL, BSD
+Language: Java
+Pkg-Description: Visualization for Algorithm Development
+ VisAD is a Java component library for interactive and collaborative
+ visualization and analysis of numerical data. The name VisAD is an acronym for
+ "Visualization for Algorithm Development". The system combines:
+ .
+ The use of pure Java for platform independence and to support data sharing and
+ real-time collaboration among geographically distributed users. Support for
+ distributed computing is integrated at the lowest levels of the system using
+ Java RMI distributed objects.
+ .
+ A general mathematical data model that can be adapted to virtually any
+ numerical data, that supports data sharing among different users, different
+ data sources and different scientific disciplines, and that provides
+ transparent access to data independent of storage format and location (i.e.,
+ memory, disk or remote). The data model has been adapted to netCDF, HDF-5,
+ FITS, HDF-EOS, McIDAS, Vis5D, GIF, JPEG, TIFF, QuickTime, ASCII and many other
+ file formats.
+ .
+ A general display model that supports interactive 3-D, data fusion, multiple
+ data views, direct manipulation, collaboration, and virtual reality. The
+ display model has been adapted to Java3D and Java2D and used in an ImmersaDesk
+ virtual reality display.
+ .
+ Data analysis and computation integrated with visualization to support
+ computational steering and other complex interaction modes.
+ .
+ Support for two distinct communities: developers who create domain- specific
+ systems based on VisAD, and users of those domain-specific systems. VisAD is
+ designed to support a wide variety of user interfaces, ranging from simple data
+ browser applets to complex applications that allow groups of scientists to
+ collaboratively develop data analysis algorithms.
+ .
+ Developer extensibility in as many ways as possible.

Modified: projects/science/trunk/debian-science/tasks/machine-learning
URL: http://svn.debian.org/wsvn/blends/projects/science/trunk/debian-science/tasks/machine-learning?rev=3185&op=diff
==============================================================================
--- projects/science/trunk/debian-science/tasks/machine-learning (original)
+++ projects/science/trunk/debian-science/tasks/machine-learning Sat Feb 25 19:57:18 2012
@@ -35,26 +35,28 @@
 Published-URL: http://www.frontiersin.org/neuroinformatics/paper/10.3389/neuro.11/003.2009/
 Published-DOI: 10.3389/neuro.11.003.2009
 
+Depends: python-scikits.statsmodels
+Why: Statistical models
 
-Depends: python-scikits.statsmodels
-Homepage: http://statsmodels.sourceforge.net/
-Language: Python
-License: BSD
-Responsible: Yaroslav Halchenko <debian at onerussian.com>
-Pkg-URL: http://neuro.debian.net/pkgs/python-scikits.statsmodels.html
-WNPP: 570604
-Why: Statistical models
-Pkg-Description: classes and functions for the estimation of statistical models
- scikits.statsmodels is a pure Python package that provides classes
- and functions for the estimation of several categories of statistical
- models. These currently include linear regression models, OLS, GLS,
- WLS and GLS with AR(p) errors, generalized linear models for six
- distribution families and M-estimators for robust linear models. An
- extensive list of result statistics are available for each estimation
- problem.
-
-Depends: libroot-tmva-dev, libroot-montecarlo-vmc-dev, libroot-math-mlp-dev
-Comment: ROOT libraries
+Depends: root-system
+WNPP: 636974
+Responsible: Lifeng Sun <lifongsun at gmail.com>
+Homepage: http://root.cern.ch
+License: LGPL-2.1, GPL-3
+Language: C++
+Pkg-Description: CERN's ROOT Data Analysis Framework
+ ROOT is an object-oriented program and library developed by CERN. It
+ was originally designed for particle physics data analysis and
+ contains several features specific to this field, but it is also used
+ in other applications such as astronomy and data mining.
+Remark: Previous version available at snapshot.debian.org
+ There used to be a previous version inside Debian but it was
+ unmaintained and RC buggy.  Feel free to have a look at
+ http://snapshot.debian.org/package/root-system/
+X-Depends: libroot-tmva-dev, libroot-montecarlo-vmc-dev, libroot-math-mlp-dev
+X-Comment: Somebody injected the libraries from the ROOT system explicitely
+ here for machine-learning - so these should be included once root-system
+ is packaged again
 
 Depends: autoclass, mcl
 Comment: Applications


