mltools: Machine Learning Tools

A collection of machine learning helper functions, particularly assisting in the Exploratory Data Analysis phase. Makes heavy use of the 'data.table' package for optimal speed and memory efficiency. Highlights include a versatile bin_data() function, sparsify() for converting a data.table to sparse matrix format with one-hot encoding, fast evaluation metrics, and empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.

Version: 0.2.0
Imports: data.table (≥ 1.9.7), Matrix, methods, stats
Published: 2017-01-03
Author: Ben Gorman
Maintainer: Ben Gorman <bgorman at GormAnalysis.com>
BugReports: https://github.com/ben519/mltools/issues
License: MIT + file LICENSE
URL: https://github.com/ben519/mltools
NeedsCompilation: no
Materials: README NEWS
CRAN checks: mltools results

Downloads:

Reference manual: mltools.pdf
Package source: mltools_0.2.0.tar.gz
Windows binaries: r-devel: mltools_0.2.0.zip, r-release: mltools_0.2.0.zip, r-oldrel: mltools_0.2.0.zip
OS X El Capitan binaries: r-release: mltools_0.2.0.tgz
OS X Mavericks binaries: r-oldrel: mltools_0.2.0.tgz
Old sources: mltools archive

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