[Blends-commit] r2198 - in projects/science/trunk/debian-science: config tasks
Debian Pure Blends Subversion Commit
noreply at alioth.debian.org
Tue Jun 8 14:17:04 UTC 2010
Author: yoh-guest
Date: Tue Jun 8 14:16:49 2010
New Revision: 2198
URL: http://svn.debian.org/viewsvn/blends?rev=2198&view=rev
Log:
Adding machine-learning task (and wiping 1 trailing space in config/control)
Added:
projects/science/trunk/debian-science/tasks/machine-learning
Modified:
projects/science/trunk/debian-science/config/control
Modified: projects/science/trunk/debian-science/config/control
URL: http://svn.debian.org/viewsvn/blends/projects/science/trunk/debian-science/config/control?rev=2198&view=diff&r1=2198&r2=2197&p1=projects/science/trunk/debian-science/config/control&p2=projects/science/trunk/debian-science/config/control
==============================================================================
--- projects/science/trunk/debian-science/config/control (original)
+++ projects/science/trunk/debian-science/config/control Tue Jun 8 14:16:49 2010
@@ -19,11 +19,12 @@
engineering applications
* science-geography packages related to geography
* science-linguistics packages related to linguistics
+ * science-machine-learning packages related to machine learning
* science-mathematics packages related to mathematics
* science-mathematics-dev packages related to development of
mathematical applications
* science-meteorology packages related to meteorology and climate
- * science-meteorology-dev packages related to the development of
+ * science-meteorology-dev packages related to the development of
meteorology and climate applications
* science-neuroscience-cognitive packages related to cognitive
neuroscience
Added: projects/science/trunk/debian-science/tasks/machine-learning
==============================================================================
--- (empty file)
+++ projects/science/trunk/debian-science/tasks/machine-learning Tue Jun 8 14:16:49 2010
@@ -0,0 +1,58 @@
+Task: Machine Learning
+Description: Debian Science Machine Learning packages
+ This metapackage will install Debian packages which might be useful for
+ scientists interested in machine learning. Included packages range
+ from knowledge-based (expert) inference systems to software
+ implementing dominant nowadays statistical methods.
+
+Depends: python-pyke, gprolog, yap
+Comments: Prolog (and alike) systems for inductive reasoning
+
+Depends: libtorch3-dev
+
+Depends: libshogun-dev, libfann-dev, libsvm-dev, libcomplearn-dev
+Comment: above libraries have also variety of interfaces to high-level
+ scripting languages (e.g. Python) and even possibly some interactive GUI
+
+Depends: python-scikits-learn, python-mdp, python-mlpy
+Comment: Native Python toolkits
+
+Depends: weka
+
+Depends: vowpal-wabbit
+
+Depends: r-cran-mass, r-cran-bayesm, r-cran-class, r-cran-cluster,
+ r-cran-msm
+Comment: R packages
+
+Depends: python-mvpa
+Why: Framework for statistical learning analysis of large datasets.
+Published-Title: PyMVPA: a unifying approach to the analysis of neuroscientific data
+Published-Authors: Michael Hanke, Yaroslav O. Halchenko, Per B. Sederberg, Emanuele Olivetti, Ingo Fründ, Jochem W. Rieger, Christoph S. Herrmann, James V. Haxby, Stephen José Hanson, Stefan Pollmann
+Published-In: Frontiers in Neuroinformatics, 3:3
+Published-Year: 2009
+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
+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
+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.
+
+Suggests: science-statistics
+
+Suggests: science-typesetting
+Meta-Suggests: svn://svn.debian.org/blends/projects/science/trunk/debian-science/tasks/typesetting
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