sgd: Stochastic gradient descent

[ bsd3, library, math ] [ Propose Tags ]

Stochastic gradient descent library.

Import Numeric.SGD to use the library.

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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
Dependencies base (>=4 && <5), binary (>=0.5 && <0.9), bytestring (>=0.9 && <0.11), containers (>=0.4 && <0.7), data-default (>=0.7 && <0.8), deepseq (>=1.3 && <1.5), filepath (>=1.3 && <1.5), hmatrix (>=0.19 && <0.20), logfloat (>=0.12 && <0.14), monad-par (>=0.3.4 && <0.4), mtl (>=2.0 && <2.3), pipes (>=4.3 && <4.4), primitive (>=0.5 && <0.7), random (>=1.0 && <1.2), temporary (>=1.1 && <1.4), vector (>=0.10 && <0.13) [details]
License BSD-3-Clause
Copyright Copyright (c) 2012-2019 Jakub Waszczuk
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Category Math
Home page https://github.com/kawu/sgd
Source repo head: git clone git://github.com/kawu/sgd.git
Uploaded by JakubWaszczuk at 2019-03-03T19:47:29Z
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Reverse Dependencies 9 direct, 0 indirect [details]
Downloads 14149 total (59 in the last 30 days)
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Status Docs available [build log]
Last success reported on 2019-03-03 [all 1 reports]