The "bigml" package is an R wrapper for the BigML API: https://bigml.com/developers
It contains straightforward methods for most of the relevant API end points, as well as some fancier methods that allow for direct translations from R dataframes directly into datasets appropriate for BigML. Excerpt from an upcoming blog post, which describes the package in more detail: Today BigML releases the bigml package for R. R is already well known for > its capabilities in statistics and data analysis, and we use it internally > for a number of different day-to-day tasks. The bigml package enables the > R community to easily take advantage of our highly scalable cloud based > machine learning infrastructure, while using familiar R data structures and > workflows. Apologies for sending this e-mail a bit late. Best, -Justin -- blog: http://www.scwn.net aim: iujjd twitter: jjdonald [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
