dabl: Automatic Machine Learning with a Human in the Loop |SciPy 2020| Andreas Mueller скачать в хорошем качестве

dabl: Automatic Machine Learning with a Human in the Loop |SciPy 2020| Andreas Mueller

In many real-world applications, data quality and curation and domain knowledge play a much larger role in building successful models than coming up with complex processing techniques and tweaking hyper-parameters. Therefore, a machine learning toolbox should enable users to understand both data and model, and not burden the practitioner with picking preprocessing steps and hyperparameters. The dabl library is a first step in this direction. It provides automatic visualization routines and model inspection capabilities while automating away model selection. This talk will introduce the dabl library and show how to use it to quickly create supervised models and identify modeling and data quality issues. *****************   / enthought     / enthought     / enthought