L1L2Py is a Python package to perform feature selection by means of l1l2 regularization with double optimization
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
File details
Details for the file L1L2Py-1.0.0.tar.gz.
File metadata
- Download URL: L1L2Py-1.0.0.tar.gz
- Upload date:
- Size: 579.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a187c695eacf726ece9252f2bf805b43b411cb3833c4aac85035aa1c3812947
|
|
| MD5 |
4a0debf81a659e478861a611c66538b0
|
|
| BLAKE2b-256 |
e7d36372aa13aba84da529f1d0e52035f678e6613da16988b080798708dbd669
|
