What is skscope?#

skscope is a powerful open-source Python package specifically developed to tackle sparsity-constrained optimization (SCO) problems with utmost efficiency. With SCO’s broad applicability in machine learning, statistics, signal processing, and other related domains, skscope can find extensive usage in these fields. For example, it excels in solving classic SCO problems like variable selection (also known as feature selection or compress sensing). Even more impressively, it goes beyond that and handles a diverse range of intriguing real-world problems:

  1. Robust variable selection

../_images/variable_selection.png

  1. Nonlinear variable selection

../_images/nonlinear_variable_selection.png

  1. Spatial trend filtering

../_images/trend_filter.png

  1. Network reconstruction

../_images/precision_matrix.png

  1. Portfolio selection

../_images/portfolio_selection.png

These above examples represent just a glimpse of the practical problems that skscope can effectively address. With its efficient optimization algorithms and versatility, skscope proves to be an invaluable tool for a wide range of disciplines. Currently, we offer over 20 examples in our comprehensive example gallery.