sgd (1.1)

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.

Maintainer: Dustin Tran
Author(s): Dustin Tran [aut, cre], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]

License: GPL-2

Uses: ggplot2, MASS, Rcpp, R.rsp, bigmemory, testthat, gridExtra

Released over 2 years ago.