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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.
Package details |
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Author | Ben Gorman |
Maintainer | Ben Gorman <bgorman@GormAnalysis.com> |
License | MIT + file LICENSE |
Version | 0.3.5 |
URL | https://github.com/ben519/mltools |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
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