  Multiple Kernel Learning is a recent and powerful paradigm to learn the
kernel function from data. In this paper, we introduce MKLpy, a python-based
framework for Multiple Kernel Learning. The library provides Multiple Kernel
Learning algorithms for classification tasks, mechanisms to compute kernel
functions for different data types, and evaluation strategies. The library is
meant to maximize the usability and to simplify the development of novel
solutions.
