prune.data: Filters input data

In rmcfs: The MCFS-ID Algorithm for Feature Selection and Interdependency Discovery

Description

Selects columns from input data based on the highest RIs of attributes.

Usage

prune.data(x, mcfs_result, size = NA)

Arguments

x	input data.frame.
mcfs_result	result from mcfs function.
size	number of top features to select from input data. If size = NA, then it is defined by mcfs_result$cutoff_value parameter.

Value

data.frame with selected columns.

Examples

  ## Not run: ###dontrunbegin

  # create input data
  adata <- artificial.data(rnd_features = 10)
  showme(adata)
  
  # Parametrize and run MCFS-ID procedure
  result <- mcfs(class~., adata, cutoffPermutations = 0, featureFreq = 10,
                  finalCV = FALSE, finalRuleset = FALSE, threadsNumber = 2)

  head(prune.data(adata, result, size = result$cutoff_value))

  
## End(Not run)###dontrunend  

rmcfs documentation built on Sept. 18, 2021, 5:07 p.m.