airoldilab/sgd: Stochastic Gradient Descent for Scalable Estimation
A fast and flexible set of tools for large scale estimation. It features many stochastic gradient methods, built-in models, visualization tools, automated hyperparameter tuning, model checking, interval estimation, and convergence diagnostics.
Getting started
Browse package contents
Package details |
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| Maintainer | Junhyung Lyle Kim <jlylekim@gmail.com> |
| License | GPL-2 |
| Version | 1.1.2 |
| URL | https://github.com/airoldilab/sgd |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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