sgd: Stochastic gradient descent
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.
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- sgd-0.2.1.tar.gz [browse] (Cabal source package)
- Package description (revised from the package)
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Versions [RSS] | 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 |
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Dependencies | base (>=4 && <5), 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 2018-09-24T15:16:48Z |
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 2012-09-26T11:17:43Z |
Distributions | |
Reverse Dependencies | 9 direct, 0 indirect [details] |
Downloads | 14654 total (1 in the last 30 days) |
Rating | (no votes yet) [estimated by Bayesian average] |
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Status | Docs uploaded by user Build status unknown [no reports yet] |