RTextTools now 100% Java-free!

(This article was first published on RTextTools: a machine learning library for text classification - Blog, and kindly contributed to R-bloggers)

When we first wrote RTextTools, we opted to use RWeka for boosting and bagging algorithms for lack of a better alternative. We’ve discovered that this leads to all sorts of ugly rJava installation issues across platforms and prevents our users from getting started quickly. Recently, we’ve stumbled upon two excellent non-Java alternatives: LogitBoost in the caTools package, and the bagging implementation in the ipred package.

Consequently, we’ve eliminated RWeka from the list of dependencies and significantly streamlined the installation process. Windows users only need to deal with the Rtools installation now; developer Loren Collingwood left a helpful comment regarding Rtools in a previous post.

To leave a comment for the author, please follow the link and comment on their blog: RTextTools: a machine learning library for text classification - Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags:

Comments are closed.

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)