scores {mRMRe} | R Documentation |
mRMR Scores as per the MI gain for each feature
Description
The scores
method returns the scores of individual features in respect to previously selected features as per standard
mRMR procedure. For each target, the score of a feature is defined as the mutual information between the target and this feature
minus the average mutual information of previously selected features and this feature.
Usage
## S4 method for signature 'mRMRe.Data'
scores(object, solutions)
## S4 method for signature 'mRMRe.Filter'
scores(object)
## S4 method for signature 'mRMRe.Network'
scores(object)
Arguments
object |
a |
solutions |
a set of solutions from mRMRe.Filter or mRMRe.Network to be used in computing the scores from a mRMRe.Data set. |
Author(s)
Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains
Examples
set.thread.count(2)
data(cgps)
feature_data <- mRMR.data(data = data.frame(cgps.ge))
# Create an mRMR filter and obtain the indices of selected features
filter <- mRMR.classic("mRMRe.Filter", data = feature_data, target_indices = 3:5,
feature_count = 2)
scores(filter)
[Package mRMRe version 2.1.2.1 Index]