An S4 class to represent the summa output.
matrix of predictions
Square matrix of size learners containing covariance of learners
Cube tensor of size learners containing the covariance of three learners
Contains weights for each method
Number representing number of samples
Number representing number of learners
A numeric vector of samples constructed by weighting each learner equally
A numeric vector of samples constructed by weighting each learner by their estimated performance
A user defined character vector describing the data under analysis
A numeric vector of learnears representing actual performance of the learners, for binary data this is balanced accuracy for ranked data this is AUC
A numeric vector of learners representing the summa estimated performance of learners
A number corresponding to estimated prevelance
A numeric vector ranking each sample by decreased confidence belonging to positive class using the summa ensemble
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