./math/herisvm, svm-train wrapper running cross-validation in parallel

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Branch: CURRENT, Version: 0.8.0, Package name: herisvm-0.8.0, Maintainer: cheusov

herisvm project is a collection of simple tools implementing
evaluation algorithms for classification (machine learning).
In particular heri-eval implements N-fold cross-validation
where training and testing is run in parallel.
This may be useful if you use multi-CPU computer.


Required to run:
[lang/ruby23-base]

Required to build:
[devel/mk-configure] [pkgtools/cwrappers]

Master sites:

SHA1: 0fdaa5153a9e181720fad921b4568e0e0361814e
RMD160: 0cab8c9ed0f373d383d8f524dc121c4e39648572
Filesize: 14.949 KB

Version history: (Expand)


CVS history: (Expand)


   2017-02-17 12:12:15 by Aleksey Cheusov | Files touched by this commit (2) | Package updated
Log message:
Update herisvm to 0.8.0
   2016-07-25 11:18:51 by Aleksey Cheusov | Files touched by this commit (4)
Log message:
import herisvm-0.7.0

herisvm project is a collection of simple tools implementing
evaluation algorithms for classification (machine learning).
In particular heri-eval implements N-fold cross-validation
where training and testing is run in parallel.
This may be useful if you use multi-CPU computer.