sgd: Stochastic gradient descent

[ algorithms, bsd3, library, math ] [ Propose Tags ]

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.

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, bytestring, containers, deepseq, filepath, lazy-io, logfloat, monad-par, mtl, primitive, random, temporary, vector [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Category Math, Algorithms
Home page
Source repo head: git clone git://
Uploaded by JakubWaszczuk at Wed Apr 17 11:01:00 UTC 2013
Distributions NixOS:0.3.7
Downloads 4166 total (32 in the last 30 days)
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Status Docs uploaded by user
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