gafs: Genetic Algorithm Feature Selection Parameters

In dsnavega/cbfsr: cbfsr: Tools for correlation-based feature selection in R

Description

Genetic Algorithm Feature Selection Parameters

Usage

gafs(x, y, control = gafs.control())

Arguments

x	a symmetric numeric matrix with inter-correlation (association) of the features (input) under study. See Details.
y	a vector with the correlation (association) of x (features) with the class (output). See Details
control	a list of parameters for genetic algorithm as created by gafs.control

Details

In this implementation, and following Hall (1999), correlation is used its more general sense. Is up to the user to compute the matrix x and vector y using the correlation / association measure that best suite the data and problem at hand.

Value

a gafs object

Author(s)

David Senhora Navega

References

Hall, M.A., 1999. Correlation-based feature selection for machine learning.

dsnavega/cbfsr documentation built on Jan. 1, 2021, 12:07 a.m.