The sgd package

[Tags:bsd3, library]

Implementation of a Stochastic Gradient Descent optimization method. See examples directory in the source package for examples of usage.

It is a preliminary implementation of the SGD method and API may change in future versions.

Properties

Versions 0.1.0, 0.2.0, 0.2.1, 0.2.2, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.3.7
Dependencies base (==4.*), binary (==0.5.*), bytestring (>=0.9 && <0.11), containers (==0.4.*), deepseq (==1.3.*), filepath (==1.3.*), lazy-io (==0.1.*), logfloat (==0.12.*), monad-par (>=0.3.4 && <0.4), mtl (>=2.0 && <2.2), primitive (==0.5.*), random (==1.0.*), temporary (==1.1.*), vector (==0.10.*) [details]
License BSD3
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Stability experimental
Category Math, Algorithms
Home page https://github.com/kawu/sgd
Source repository head: git clone git://github.com/kawu/sgd.git
Uploaded Fri Nov 1 13:20:30 UTC 2013 by JakubWaszczuk
Distributions NixOS:0.3.7
Downloads 2376 total (24 in the last 30 days)
Votes
0 []
Status Docs not available [build log]
All reported builds failed as of 2015-11-24 [all 4 reports]

Modules

  • Numeric
    • Numeric.SGD
      • Numeric.SGD.Dataset
      • Numeric.SGD.Grad
      • Numeric.SGD.LogSigned

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