mlr (version 2.3)

FeatSelControl: Create control structures for feature selection.

Description

Feature selection method used by selectFeatures. The following methods are available:

[object Object],[object Object],[object Object],[object Object]

Usage

makeFeatSelControlExhaustive(same.resampling.instance = TRUE,
  maxit = NA_integer_, max.features = NA_integer_, tune.threshold = FALSE,
  tune.threshold.args = list(), log.fun = NULL)
makeFeatSelControlGA(same.resampling.instance = TRUE, impute.val = NULL,
  maxit = NA_integer_, max.features = NA_integer_, comma = FALSE,
  mu = 10L, lambda, crossover.rate = 0.5, mutation.rate = 0.05,
  tune.threshold = FALSE, tune.threshold.args = list(), log.fun = NULL)
makeFeatSelControlRandom(same.resampling.instance = TRUE, maxit = 100L,
  max.features = NA_integer_, prob = 0.5, tune.threshold = FALSE,
  tune.threshold.args = list(), log.fun = NULL)
makeFeatSelControlSequential(same.resampling.instance = TRUE,
  impute.val = NULL, method, alpha = 0.01, beta = -0.001,
  maxit = NA_integer_, max.features = NA_integer_, tune.threshold = FALSE,
  tune.threshold.args = list(), log.fun = NULL)

Value

[FeatSelControl]. The specific subclass is one of FeatSelControlExhaustive, FeatSelControlRandom, FeatSelControlSequential, FeatSelControlGA.

See Also

Other featsel: analyzeFeatSelResult; getFeatSelResult; makeFeatSelWrapper; selectFeatures