scores {mRMRe} | R Documentation |
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.
## 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)
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. |
Nicolas De Jay, Simon Papillon-Cavanagh, Benjamin Haibe-Kains
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)