./wip/py-mdp, Modular toolkit for data processing

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Branch: CURRENT, Version: 3.0, Package name: py27-mdp-3.0, Maintainer: jihbed.research

Modular toolkit for Data Processing (MDP) is a library of widely used data
processing algorithms that can be combined according to a pipeline analogy
to build more complex data processing software. Implemented algorithms
include Principal Component Analysis (PCA), Independent Component Analysis
(ICA), Slow Feature Analysis (SFA), and many more


Required to run:
[math/py-numpy]

Master sites:


Version history: (Expand)


CVS history: (Expand)


   2012-11-12 17:26:41 by othyro | Files touched by this commit (56)
Log message:
MASTER_SITES -> MASTER_SITE_SOURCEFORGE; part 2/4. Let me know if this
breaks anything. Minor formatting and HOMEPAGE fixes in some files.
   2012-10-07 14:25:12 by Aleksej Saushev | Files touched by this commit (52)
Log message:
Drop superfluous PKG_DESTDIR_SUPPORT, "user-destdir" is default these days.
Mark packages that don't or might probably not have staged installation.
   2012-09-11 00:44:44 by Kamel Derouiche | Files touched by this commit (2) | Package updated
Log message:

	UPDATE:
	--> 3.2 NOW
   2010-07-23 18:19:53 by Kamel Derouiche | Files touched by this commit (3) | Package updated
Log message:
update to 0.6

   2010-01-05 00:56:59 by Kamel Derouiche | Files touched by this commit (1)
Log message:
change category, parallel-->math

   2010-01-03 23:19:12 by Kamel Derouiche | Files touched by this commit (4) | Imported package
Log message:
Import py25-mdp-2.5 as wip/py-mdp.

Modular toolkit for Data Processing (MDP) is a library of widely used data
processing algorithms that can be combined according to a pipeline analogy
to build more complex data processing software. Implemented algorithms
include Principal Component Analysis (PCA), Independent Component Analysis
(ICA), Slow Feature Analysis (SFA), and many more