package_tidyrules: 'tidyrules'

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

tidyrules

Description

tidyrules package provides a framework to work with decision rules. Rules can be extracted from supported models using tidy, augmented using validation data by augment, manipulated using standard dataframe operations, (modified) rulelists can be used to predict on unseen (test) data. Utilities include: Create a rulelist manually (as_rulelist), Export a rulelist to SQL (to_sql_case) and so on. The package offers two classes; rulelist and ruleset based on dataframe.

Author(s)

Maintainer: Srikanth Komala Sheshachala [e-mail]

Authors:

• Amith Kumar Ullur Raghavendra [e-mail]

See Also

rulelist, tidy, augment, predict

tidyrules documentation built on June 30, 2024, 1:07 a.m.