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MKLpy: a python-based framework for Multiple Kernel Learning

2020-07-20Code Available1· sign in to hype

Ivano Lauriola, Fabio Aiolli

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Abstract

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.

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