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.
- Version0.2.7
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release06/29/2024
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Team
Srikanth Komala Sheshachala
Amith Kumar Ullur Raghavendra
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- Imports16 packages
- Suggests12 packages