svm-simple: Medium level, simplified, bindings to libsvm

[ ai, algorithms, bsd3, library, pattern-classification, support-vector-machine ] [ Propose Tags ]

This is a set of simplified bindings to libsvm http://www.csie.ntu.edu.tw/~cjlin/libsvm/ suite of support vector machines. This package provides tools for classification, one-class classification and support vector regression.

Changes in version 0.2.7.1

  • Bumped dependencies

Changes in version 0.2.7

  • Added more automatic training functions

Changes in version 0.2.6.1

  • Bumped dependencies

Changes in version 0.2.6

  • Fixed a critical bug with training and crossvalidation

  • Slight performance improvements

Changes in version 0.2.5

  • Crossvalidation for the high level interface

Changes in version 0.2.2

  • Rather ugly binary instances

Changes in version 0.2.1

  • Added operations for saving and loading SVMs

Changes in version 0.2.0

  • Moved the low level stuff into AI.SVM.Base

Changes in version 0.1

  • Initial version

Modules

  • AI
    • SVM
      • AI.SVM.Base
      • AI.SVM.Simple

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Versions [RSS] 0.1.0, 0.2.1, 0.2.2, 0.2.5, 0.2.6, 0.2.7, 0.2.7.1
Dependencies base (>=4 && <5), binary (>=0.5 && <0.6), bindings-svm (>=0.2.0 && <0.3), bytestring (>=0.9.1 && <0.10), containers (>=0.4.2.0 && <0.6), deepseq (>=1.1 && <1.6), directory (>=1.1.0.0 && <1.4), monad-par (>=0.1.0.3 && <0.4), mwc-random (>=0.8 && <0.13), vector (>=0.7.0.1 && <1.1) [details]
License BSD-3-Clause
Author Ville Tirronen <aleator@gmail.com>
Maintainer Ville Tirronen <aleator@gmail.com> Paulo Tanimoto <ptanimoto@gmail.com>
Category AI, Pattern Classification, Algorithms, Support Vector Machine
Home page http://github.com/aleator/Simple-SVM
Bug tracker http://github.com/aleator/Simple-SVM/issues
Uploaded by VilleTirronen at 2012-07-18T08:58:35Z
Distributions NixOS:0.2.7.1
Downloads 4788 total (36 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-12-24 [all 6 reports]