Julearn (Julearn)
Keywords: Machine Learning, Python
At the Applied Machine Learning (AML) group, as part of the Institute of Neuroscience and Medicine - Brain and Behaviour (INM-7), we thought that using ML in research could be simpler.
In the same way as seaborn provides an abstraction of matplotlib’s functionality aiming for powerful data visualization with minor coding, we built julearn on top of scikit-learn.
julearn is a library that provides users with the possibility of easy testing ML models directly from pandas DataFrames, while keeping the flexibility of using scikit-learn’s models.
Publications
Julearn: an easy-to-use library for leakage-free evaluation and inspection of ML models
Hamdan S, More S, Sasse L, Komeyer V, Patil K, Raimondo F, Raimondo F - Gigabyte - 2024
