A collection of machine learning utilities that can be run either in serial with native R objects (matrices and vectors) or in parallel with distributed matrices from the 'pbdDMAT' package. Here, we focus on ease of coding and understanding rather than performance (i.e., all code is written in R), and as such this package should primarily be thought of as a demonstration of the capabilities of the 'pbdDMAT' package.
Package details |
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Maintainer | Drew Schmidt <wrathematics@gmail.com> |
License | BSD 2-clause License + file LICENSE |
Version | 0.1-2 |
URL | http://r-pbd.org/ |
Package repository | View on GitHub |
Installation |
Install the latest version of this package by entering the following in R:
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