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, 0.4.0, 0.4.0.1
Dependencies base (==4.*), binary (>=0.5 && <0.9), bytestring (>=0.9 && <0.11), containers (>=0.4 && <0.6), deepseq (>=1.3 && <1.5), filepath (>=1.3 && <1.5), lazy-io (==0.1.*), logfloat (>=0.12 && <0.14), monad-par (>=0.3.4 && <0.4), mtl (>=2.0 && <2.3), primitive (>=0.5 && <0.7), random (>=1.0 && <1.2), temporary (>=1.1 && <1.3), vector (>=0.10 && <0.13) [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
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 Wed Sep 19 13:27:50 UTC 2018
Distributions NixOS:0.4.0.1
Downloads 4686 total (40 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2018-09-19 [all 1 reports]
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