Fuzzy-rough-learn 0.1 : a Python library for machine learning with fuzzy rough sets

We present fuzzy-rough-learn, the first Python library of fuzzy rough set machine learning algorithms. It contains three algorithms previously implemented in R and Java, as well as two new algorithms from the recent literature. We briefly discuss the use cases of fuzzy-rough-learn and the design philosophy guiding its development, before providing an overview of the included algorithms and their parameters

Amylolysis as a tool to control amylose chain length and to tailor gel formation during potato-based crisp making

status: publishe