SOTAVerified

SparseChem: Fast and accurate machine learning model for small molecules

2022-03-09Code Available1· sign in to hype

Adam Arany, Jaak Simm, Martijn Oldenhof, Yves Moreau

Code Available — Be the first to reproduce this paper.

Reproduce

Code

Abstract

SparseChem provides fast and accurate machine learning models for biochemical applications. Especially, the package supports very high-dimensional sparse inputs, e.g., millions of features and millions of compounds. It is possible to train classification, regression and censored regression models, or combination of them from command line. Additionally, the library can be accessed directly from Python. Source code and documentation is freely available under MIT License on GitHub.

Tasks

Reproductions