map_to_ts

This function maps the lower and upper bounds of the solution vector to a subset of the dataset.

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

map_to_ts function

<dl><dt>lower</dt>
<dd>The lower bound in [0, 1].</dd>
<dt>upper</dt>
<dd>The upper bound in [0, 1].</dd>
<dt>instances</dt>
<dd>The full dataset.</dd></dl>

Arguments

Map solution boundaries to time series instances. — map_to_ts

<dl>

<dt>lower</dt>
<dd>The lower bound in [0, 1].</dd>


<dt>upper</dt>
<dd>The upper bound in [0, 1].</dd>


<dt>instances</dt>
<dd>The full dataset.</dd>

</dl>

map_to_ts: Map solution boundaries to time series instances.

Description

Usage

Value

Arguments