Package: sgd 1.1.3

Junhyung Lyle Kim

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.

Authors:Junhyung Lyle Kim [cre, aut], Dustin Tran [aut], Panos Toulis [aut], Tian Lian [ctb], Ye Kuang [ctb], Edoardo Airoldi [ctb]

sgd_1.1.3.tar.gz
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sgd_1.1.3.tgz(r-4.6-x86_64)sgd_1.1.3.tgz(r-4.6-arm64)sgd_1.1.3.tgz(r-4.5-x86_64)sgd_1.1.3.tgz(r-4.5-arm64)
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sgd_1.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
sgd/json (API)

# Install 'sgd' in R:

install.packages('sgd', repos = c('https://airoldilab.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/airoldilab/sgd/issues

Uses libs:

openblas– Optimized BLAS
c++– GNU Standard C++ Library v3

Datasets:

winequality - Wine quality data of white wine samples from Portugal

On CRAN:

big-data data-analysis gradient-descent statistics openblas cpp

7.58 score 61 stars 78 scripts 244 downloads 2 mentions 2 exports 24 dependencies

Last updated from:da4f8d2417. Checks:13 OK. Indexed: yes.

Target	Result	Time
linux-devel-arm64	OK	189
linux-devel-x86_64	OK	251
source / vignettes	OK	222
linux-release-arm64	OK	149
linux-release-x86_64	OK	953
macos-release-arm64	OK	166
macos-release-x86_64	OK	261
macos-oldrel-arm64	OK	143
macos-oldrel-x86_64	OK	483
windows-devel	OK	125
windows-release	OK	126
windows-oldrel	OK	114
wasm-release	OK	153

Exports:predict_all sgd

Dependencies:BH bigmemory bigmemory.sri cli cpp11 farver ggplot2 glue gtable isoband labeling lifecycle MASS R6 RColorBrewer Rcpp RcppArmadillo rlang S7 scales uuid vctrs viridisLite withr

Stochastic gradient decent methods for estimation with large data sets

Rendered fromsgd-jss.pdf.asisusingR.rsp::asis

Last update: 2015-09-22
Started: 2015-09-22

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Extract Model Coefficients	coef.sgd
Extract Model Fitted Values	fitted.sgd
Plot objects of class 'sgd'.	plot.list plot.sgd
Model Predictions	predict.sgd predict_all
Print objects of class 'sgd'.	print.sgd
Extract Model Residuals	residuals.sgd
Stochastic gradient descent	sgd sgd.big.matrix sgd.formula sgd.matrix
Wine quality data of white wine samples from Portugal	winequality