predict_rulelist

internal

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.

KS Srikanth

tidyrules

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

Srikanth Komala Sheshachala

Amith Kumar Ullur Raghavendra

predict_rulelist function

<dl><dt>rulelist</dt>
<dd>rulelist</dd>
<dt>new_data</dt>
<dd>new_data</dd></dl>

Arguments

with or without keys — predict_rulelist

<dl>

<dt>rulelist</dt>
<dd>rulelist</dd>


<dt>new_data</dt>
<dd>new_data</dd>

</dl>

predict_rulelist: with or without keys

Description

Usage

Value

Arguments