L1L2Py is a Python package to perform feature selection by means of l1l2 regularization with double optimization
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L1L2Py makes use of NumPy <http://numpy.scipy.org> to provide fast N-dimensional array manipulation and is the Python implementation of the method proposed and applied in [DeMol09].
L1L2Py is a project of the SlipGURU - Statistical Learning and Image Processing Genoa University Research Group - Via Dodecaneso, 35 - 16146 Genova, ITALY <http://slipguru.disi.unige.it>.
L1L2Py is free software. It is licensed under the GNU General Public License (GPL) version 3 <http://www.gnu.org/licenses/gpl.html>.
C. De Mol, S. Mosci, M. Traskine, A. Verri, “A Regularized Method for Selecting Nested Group of Genes from Microarray Data” Journal of Computational Biology, vol. 16, pp. 677-690, 2009.
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