float (FrictionLess Online model Analysis and Testing) is a modular Python-framework for standardized evaluations of online learning methods. float can combine custom code with popular libraries and provides easy access to sensible evaluation strategies, measures and visualisations.

Release Notes:
02/02/22 - v0.0.1, Initial release.
22/09/22 - v0.0.2, Minor updates and corrections + Dynamic Model Tree classifier.

float can be installed via PyPi:

pip install float-evaluation

See the next section on how to get started with float...