tidyrules: Utilities to Retrieve Rulelists from Model Fits, Filter, Prune, Reorder and Predict on Unseen Data

Provides a framework to work with decision rules. Rules can be extracted from supported models, augmented with (custom) metrics using validation data, manipulated using standard dataframe operations, reordered and pruned based on a metric, predict on unseen (test) data. Utilities include; Creating a rulelist manually, Exporting a rulelist as a SQL case statement and so on. The package offers two classes; rulelist and ruleset based on dataframe.

Getting started

Package details

AuthorSrikanth Komala Sheshachala [aut, cre], Amith Kumar Ullur Raghavendra [aut]
MaintainerSrikanth Komala Sheshachala <sri.teach@gmail.com>
URL https://github.com/talegari/tidyrules https://talegari.github.io/tidyrules/
Package repositoryView on CRAN
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tidyrules documentation built on June 30, 2024, 1:07 a.m.