Description Usage Arguments Author(s) Examples
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.
1 2 3 4 5 6 |
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
1 2 3 4 5 6 7 8 | 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)
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