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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| 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 && <0.6), deepseq (>=1.3 && <1.5), filepath (>=1.3 && <1.5), lazy-io (>=0.1 && <0.2), 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 2018-09-19T13:27:50Z |
| Distributions | |
| Reverse Dependencies | 9 direct, 0 indirect [details] |
| Downloads | 14145 total (55 in the last 30 days) |
| Rating | (no votes yet) [estimated by Bayesian average] |
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| Status | Docs available [build log] Last success reported on 2018-09-19 [all 1 reports] |