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sgd: Stochastic gradient descent

[ bsd3, library, math ] [ Propose Tags ] [ Report a vulnerability ]

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.

Modules

[Last Documentation]

  • Numeric
    • Numeric.SGD
      • Numeric.SGD.Dataset
      • Numeric.SGD.Grad
      • Numeric.SGD.LogSigned

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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 && <0.6), bytestring (>=0.9 && <0.11), containers (>=0.4 && <0.5), deepseq (>=1.3 && <1.4), filepath (>=1.3 && <1.4), lazy-io (>=0.1 && <0.2), logfloat (>=0.12 && <0.13), monad-par (>=0.3.4 && <0.4), mtl (>=2.0 && <2.2), primitive (>=0.5 && <0.6), random (>=1.0 && <1.1), temporary (>=1.1 && <1.2), vector (>=0.10 && <0.11) [details]
License BSD-3-Clause
Copyright Copyright (c) 2012 IPI PAN
Author Jakub Waszczuk
Maintainer waszczuk.kuba@gmail.com
Uploaded by JakubWaszczuk at 2013-11-01T13:20:30Z
Category Math, Algorithms
Home page https://github.com/kawu/sgd
Source repo head: git clone git://github.com/kawu/sgd.git
Distributions
Reverse Dependencies 9 direct, 0 indirect [details]
Downloads 15051 total (83 in the last 30 days)
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Status Docs not available [build log]
All reported builds failed as of 2016-12-20 [all 6 reports]