MKLpy: a python-based framework for Multiple Kernel Learning

• URL: http://arxiv.org/abs/2007.09982v1
• Date: Mon, 20 Jul 2020 10:10:13 GMT
• Title: MKLpy: a python-based framework for Multiple Kernel Learning
• Authors: Ivano Lauriola and Fabio Aiolli
• Abstract summary: 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.
• Score: 4.670305538969914
• License: http://creativecommons.org/licenses/by-nc-sa/4.0/
• 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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