학술논문

SparseChem: Fast and accurate machine learning model for small molecules
Document Type
Working Paper
Source
Subject
Statistics - Machine Learning
Computer Science - Machine Learning
Language
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.