Parameter functions for feature selection recipes

Entropy-based feature selection methods can be applied using several methods to calculate the entropy formula. `entropy` is for specifying the type of entropy-based filter that is used.

Usage

entropy(values = values_entropy)

Arguments

values

A character string of possible values. See `values_entropy` for possible values.

Value

A function with classes "qual_param" and "param"

Examples

entropy('infogain')
#> Warning: The `default` argument of `new_qual_param()` is deprecated as of dials 1.1.0.
#> ℹ The deprecated feature was likely used in the colino package.
#>   Please report the issue at <https://github.com/stevenpawley/colino/issues>.
#> Method used for entropy-based feature selection  (qualitative)
#> 1 possible value include:
#> 'infogain'