An S4 class representative of the immunological Elastic Net model
cv.preds
out-of-sample predictions made during k-Fold cross validation.
cv.eval
out-of-sample evaluation of predictive analysis, as defined by cv.kEN parameter eval, this estimates the models ability at predicting unseen data.
betas
matrix of model coefficients for each optimized out-of-sample model of the K-fold cross validation.
dfs
vector of values corresponding to the number of non-zero elements in each out-of-sample model
nobs
number of observations the provided dataset contained.
nfeat
number of features the provided dataset contained.
opt.params
optimal parameters (alpha, phi, lambda) for each out-of-sample model generated from the initial search parameters provided.
call
function call as string from the cv.kEN call which generated this particular object.
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