Wow how time has flown. It’s been almost three years since the last update to msos R package, which was the second ever R package I created. msos serves as the companion package to Professor Emeritus John Marden’s Multivariate Statistics: Old School, which is used in STAT 571: Multivariate Analysis course at the University of Illinois at Urbana-Champaign (UIUC).
Within this update, the package internals were greatly improved. The crux of the work was in ensuring code style consistency throughout the package.
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The uiucthemes package is an organizational R package that provides unified brand templates based on the University of Illinois at Urbana-Champaign’s (UIUC) identity guidelines. In particular, the package houses different Beamer and HTML slide templates hooked into R Markdown.
After almost a year of no updates, uiucthemes has been updated to contain two new Illinois-themed templates based on the metropolis theme. In addition, the project has moved over to the illinois-r organization on GitHub.
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The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize.
After the massive update that was 2.10.0, the Ensmallen Development Team has provided a patch for better backward compatibility with the 1.y.z series. In addition, there are a few bug fixes that attempt to address edge cases.
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The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize.
The Ensmallen Development Team has truly done it. In this release, there is a major API change to support callbacks within optimization routines. From newly added documentation, we have:
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The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize.
Well, CRAN was on vacation when the Ensmallen Development Team released this version. So, there was a slight delay in getting it listed on CRAN. Within the new version, there is a new optimizer LBestPSO that was in the works for awhile now (~February 2019).
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The searcher package (CRAN, GitHub) provides a search interface to look up terms on popular websites such as ‘Google’, ‘Bing’, ‘DuckDuckGo’, ‘Startpage’, ‘StackOverflow’, ‘RStudio Community’, ‘GitHub’, and ‘BitBucket’. Upon calling a search_*() function, a browser window will open with the search results for the query.
Within this release, searcher gains the ability to search the RStudio Community, improved documentation, and a new vignette on search patterns. In addition, the search_ixquick() function was deprecated in favor of search_startpage() as the company behind the search engines consolidated to startpage.
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Editor’s Note: This post has been cross-posted on Dirk Eddelbuettel’s website and on the rvw R package’s GitHub page. The post was originally written by Ivan Pavlov, who worked on the project during Google Summer of Code (GSOC) 2018.
Release Notes Today Dirk Eddelbuettel, James Balamuta and Ivan Pavlov are happy to announce the first release of a reworked R interface to the Vowpal Wabbit machine learning system.
Started as a GSoC 2018 project, the new rvw package was built to give R users easier access to a variety of efficient machine learning algorithms.
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The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize.
We have another update in under a week from the Ensmallen Development Team! In this update, new optimizers have arrived for QHAdam and QHSGD. That said, we did submit upstream fixes to gcc diagnostic messages.
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The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize.
In this update, the Ensmallen Development Team provided a set of patches to address a few edge cases. Most notably, there was work on BigBatchSGD optimizer and a handful of tolerance fixes.
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The RcppEnsmallen package brings to R a Header-Only C++ Mathematical Optimization Library for Armadillo. In particular, Ensmallen is a templated C++ mathematical optimization library (by the MLPACK team) that provides a simple set of abstractions for writing an objective function to optimize.
Since the last update, the Ensmallen Development Team ' has been hard at work. Within this release, there are a slew of bugs being fixed and a new optimizer for Differential Evolution (DE).
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