makeFilterMat: Create a Filter-Matrix
In mosmafs: Multi-Objective Simultaneous Model and Feature Selection

makeFilterMat

R Documentation

Create a Filter-Matrix

Description

A Filter-Matrix can be used in combination with mutUniformMetaReset for heuristic-supported biased mutation.

Usage

makeFilterMat(
  task,
  filters,
  expectfeatfrac = 0.5,
  expectfeats = getTaskNFeats(task) * expectfeatfrac,
  minprob = 0,
  maxprob = 1
)

Arguments

`task`	`[Task]` The task to generate filter information for.
`filters`	`[character]` The filters to use. Special vilter `"DUMMY"` gives a constant column of `expectfeatfrac`.
`expectfeatfrac`	`[numeric(1)]` The expected fraction of features to have in equilibrium. Ignored if `expectfeats` is given.
`expectfeats`	`[numeric(1)]` The expected number of features to have in equilibrium.
`minprob`	`[numeric(1)]` The minimum probability for each feature.
`maxprob`	`[numeric(1)]` The maximum probability for each feature.

Value

matrix

Examples

library("mlr")

# Example for iris task
filters <- c("praznik_JMI", "anova.test", "variance", "DUMMY")
fima <- makeFilterMat(iris.task, filters = filters)
print(fima)

mosmafs documentation built on Nov. 3, 2022, 1:05 a.m.