stochQN
0.1.2-1Stochastic Limited Memory Quasi-Newton Optimizers
Overview
Implementations of stochastic, limited-memory quasi-Newton optimizers, similar in spirit to the LBFGS (Limited-memory Broyden-Fletcher-Goldfarb-Shanno) algorithm, for smooth stochastic optimization. Implements the following methods: oLBFGS (online LBFGS) (Schraudolph, N.N., Yu, J. and Guenter, S., 2007 http://proceedings.mlr.press/v2/schraudolph07a.html), SQN (stochastic quasi-Newton) (Byrd, R.H., Hansen, S.L., Nocedal, J. and Singer, Y., 2016 arXiv:1401.7020), adaQN (adaptive quasi-Newton) (Keskar, N.S., Berahas, A.S., 2016, arXiv:1511.01169). Provides functions for easily creating R objects with partial_fit/predict methods from some given objective/gradient/predict functions. Includes an example stochastic logistic regression using these optimizers. Provides header files and registered C routines for using it directly from C/C++.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- References docs
- 21%
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4 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- 0.1.2-1Latest
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.22019-09-05 · diff ↗
- 0.1.12019-08-30 · diff ↗
- 0.1.02019-08-29
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-08-29
- Total releases
- 4 / 7 yrs
- License
- BSD_2_clause + file LICENSE OSI
- Download size
- 48 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet