sgd: Stochastic gradient descent

[ 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 [faq] 0.1.0, 0.2.0, 0.2.1, 0.2.2, 0.2.3, 0.3, 0.3.1, 0.3.2, 0.3.3, 0.3.4, 0.3.5, 0.3.6, 0.3.7, 0.4.0, 0.4.0.1, 0.5.0.0, 0.6.0.0, 0.7.0.0, 0.7.0.1, 0.8.0.0, 0.8.0.1, 0.8.0.2, 0.8.0.3
Dependencies base (==4.*), containers (<0.6), deepseq (>=1.1 && <1.5), logfloat, monad-par, primitive, random, vector [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Revised Revision 1 made by HerbertValerioRiedel at 2018-09-24T15:17:11Z
Category Math, Algorithms
Home page https://github.com/kawu/sgd
Source repo head: git clone git://github.com/kawu/sgd.git
Uploaded by JakubWaszczuk at 2012-10-12T17:17:38Z
Distributions NixOS:0.8.0.3
Downloads 12532 total (28 in the last 30 days)
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Status Hackage Matrix CI
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