ezmlr is an add-on to the mlr package that allows for quick and easy configuration of several common and useful learners along with appropriate preprocessing, feature filtering, downsampling, and tuning based on attributes of the dataset being trained. The purpose is to provide a quick and easy way to build a reasonably accurate model with a single function, while also providing insightful information about the inner workings of the model.
|License||MIT + file LICENSE|
|Package repository||View on GitHub|
Install the latest version of this package by entering the following in R:
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