An object of this class is returned by the function
and represents a nearest centroid predictor learned on a training data set.
Objects can be created by the call
Object of class
Character string or number specifying one of the two classes.
Character string specifying the feature selection method that was used for predictor construction: Possible values are "cor", "student.test", "welch.test", "wilcoxon.test", "foldchange", "copa", "os", "ort", "shift", "throw".
Hyperparameter needed for some of the feature selection methods. For methods copa, ors and os: Quantile (e.g. 0.75, 0.9, 0.95) used in order to detect outliers. For methods shift and throw: the minimum number of samples in each class after applying shift or throw.
Type of calculation. Loo (leave one out) or prediction (simple prediction).
Feature annotations inherited from the training ExpressionSet.
plotA plot method is only avaiable for the score "zeta" that is a linear combination of features.
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