evaluate

This function evaluates the fitness of an association rule using support and confidence.
If time series data is used, it restricts evaluation to the specified time range.

Framework is devoted to mining numerical association rules through the
utilization of nature-inspired algorithms for optimization. Drawing inspiration
from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository
introduces the capability to perform numerical association rule mining in
the R programming language.
Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.

Iztok Jr. Fister

niarules

Numerical Association Rule Mining using Population-Based
Nature-Inspired Algorithms

evaluate function

<dl><dt>solution</dt>
<dd>A vector representing a candidate solution.</dd>
<dt>features</dt>
<dd>A list containing information about features.</dd>
<dt>instances</dt>
<dd>A data frame representing dataset instances.</dd>
<dt>is_time_series</dt>
<dd>A boolean flag indicating if time series filtering is required.</dd></dl>

Arguments

Evaluate a candidate solution, with optional time series filtering. — evaluate

<dl>

<dt>solution</dt>
<dd>A vector representing a candidate solution.</dd>


<dt>features</dt>
<dd>A list containing information about features.</dd>


<dt>instances</dt>
<dd>A data frame representing dataset instances.</dd>


<dt>is_time_series</dt>
<dd>A boolean flag indicating if time series filtering is required.</dd>

</dl>

evaluate: Evaluate a candidate solution, with optional time series filtering.

Description

Usage

Value

Arguments