This function makes predictions from a cross-validated gcdnet model,
using the stored
"gcdnet.fit" object, and the optimal value
matrix of new values for
value(s) of the penalty parameter
not used. Other arguments to predict.
This function makes it easier to use the results of cross-validation to make a prediction.
The object returned depends the ... argument which is passed on
predict method for
Yi Yang, Yuwen Gu and Hui Zou
Maintainer: Yi Yang <[email protected]>
Yang, Y. and Zou, H. (2012), "An Efficient Algorithm for Computing The HHSVM and Its Generalizations," Journal of Computational and Graphical Statistics, 22, 396-415.
Friedman, J., Hastie, T., and Tibshirani, R. (2010), "Regularization paths for generalized
linear models via coordinate descent," Journal of Statistical Software, 33, 1.
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