Version 0.1.0

This is the first public release of scikit-cosmo. Scikit-cosmo is a collection of scikit-learn compatible utilities that implement methods developed in the COSMO laboratory. This first release contains multiple tools of general interest:

• Principal Covariate Regression (PCovR) and the kernel extension KPCovR
  • https://doi.org/10.1088/2632-2153/aba9ef
• Feature and sample selection methods: Farthest point sampling and CUR selection, as well as PCovR version of these methods
  • https://arxiv.org/abs/2012.12253
• tools to compare different features spaces: Global Feature Reconstruction Error (GFRE), Global Feature Reconstruction Distortion (GFRD), Local Feature Reconstruction Error (LFRE)
  • http://doi.org/10.1088/2632-2153/abdaf7

Have a look at the documentation if you are interested!