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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 onehot encoding, fast evaluation metrics, and empirical_cdf() for calculating empirical Multivariate Cumulative Distribution Functions.
Package details 


Author  Ben Gorman 
Maintainer  Ben Gorman <[email protected]> 
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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