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This package is a wrapper around the maxent R package. It includes a few convenience functions to be able to work with it using text directly.

It has a few improvements over the base package: Models are S3 objects, to make it easier to work with them (add them to lists, for example) Multicore enabled. While the base training algorithm is unchanged, prediction is multithreaded, and so is a tuning function. These two changes preserve the underlying sparsity, allowing the model to use reasonable amounts of RAM even for big datasets. A function to get a table of the weights, to see which words are relevant for each class Uses quanteda to create training matrices, making it easier to get text ready to classify. Note that this package does not do cleaning. It expects clean input.

jlricon/MaxClassify documentation built on May 9, 2018, 10:40 p.m.