print.s2Data

print.s2Fista

S3 object of class <code>s2Data</code> or <code>s2Fista</code>

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Very simple print methods to show basic information about these simple S3 objects.

methods

Implements the generalized semi-supervised elastic-net. This method extends the supervised elastic-net problem, and thus it is a practical solution to the problem of feature selection in semi-supervised contexts. Its mathematical formulation is presented from a general perspective, covering a wide range of models. We focus on linear and logistic responses, but the implementation could be easily extended to other losses in generalized linear models. We develop a flexible and fast implementation, written in 'C++' using 'RcppArmadillo' and integrated into R via 'Rcpp' modules. See Culp, M. 2013 <doi:10.1080/10618600.2012.657139> for references on the Joint Trained Elastic-Net.

print.s2Data: Print methods for S3 objects

Description

Usage

Arguments

See Also