论文标题
MKLPY：用于多个内核学习的基于Python的框架
MKLpy: a python-based framework for Multiple Kernel Learning
论文作者
论文摘要
多个内核学习是从数据中学习内核函数的最新功能范式。在本文中，我们介绍了Mklpy，这是一个基于Python的多种内核学习框架。该库为分类任务提供了多种内核学习算法，计算不同数据类型的内核函数的机制以及评估策略。该库的目的是最大化可用性并简化新颖解决方案的开发。
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.
