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

Package details

AuthorJunhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]
MaintainerJunhyung Lyle Kim <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the sgd package in your browser

Any scripts or data that you put into this service are public.

sgd documentation built on July 13, 2019, 1:06 a.m.