Factual package intelligence from PyPI
Scikit-learn compatible implementation of nonconvex sparse estimators for single- and multi-task linear regressions (e.g. SCAD, MCP, l1-group-SCAD, etc).
pip install ncvx-sparse
PyPI declares 12 unique dependency rules for this release. Environment markers are shown when supplied by the project.
>=0.23>=0.26==0.25ncvx-sparse publishes 1 wheel and 1 source archive for version 0.0.1.dev3. Wheel platform tags: win_amd64.
Declared Python classifiers: 3.6, 3.7.
PyPI lists 3 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .