stig_stable_dist {RAFS}

Symmetric Target Information Gain (STIG) computed directly but with pre-computed 1D conditional entropy (aka stable)

Description

To be used as one of the dist_funs in run_rafs.

Usage

stig_stable_dist(relevant_train_data, train_decision, seed)

Arguments

relevant_train_data

input data where columns are variables and rows are observations (all numeric); assumed to contain only relevant data

train_decision

decision variable as a binary sequence of length equal to number of observations

seed

a numerical seed

Details

This function computes the STIG metric directly from the data, maximising it over 30 discretisations, but reusing the common 1D conditional entropy.

Value

A matrix of distances (dissimilarities).