贝叶斯 python

贝叶斯是一种基于贝叶斯定理和特征条件独立假设的分类方法。它通过学习输入输出的联合概率分布，并利用贝叶斯定理计算出给定输入的后验概率最大的输出。贝叶斯分类器实现简单，效率高，因此被广泛应用。在Python中，可以使用sklearn库来实现贝叶斯分类器[8.1]。<span class="em">1</span><span class="em">2</span><span class="em">3</span>
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