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.
- Version1.1.2
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- Last release01/31/2024
Documentation
Team
- Junhyung Lyle Kim
- Panos ToulisShow author detailsRolesAuthor
- Dustin TranShow author detailsRolesAuthor
- Tian LianShow author detailsRolesContributor
- Ye KuangShow author detailsRolesContributor
- Edoardo AiroldiShow author detailsRolesContributor
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Dependencies
- Imports3 packages
- Suggests5 packages
- Linking To4 packages