• License: MIT
• Home: https://skscope.readthedocs.io
• Development: https://github.com/abess-team/skscope
• Documentation: https://skscope.readthedocs.io
• 4214 total downloads
• Last upload: 1 year and 2 months ago

Description

skscope (Sparsity-Constraint OPtimization via itErative-algorithm) aims to make sparsity-constrained optimization (SCO) accessible to everyone because SCO holds immense potential across various domains, including machine learning, statistics, and signal processing. By providing a user-friendly interface, skscope empowers individuals from diverse backgrounds to harness the power of SCO and unlock its broad range of applications.