具有top-k输出的大规模朴素贝叶斯分类器 [英] Large scale naïve Bayes classifier with top-k output

问题描述

我需要一个大规模的朴素贝叶斯库，其中包含数百万个训练示例和+ 100k二进制功能.它必须是在线版本(培训后可更新).我还需要top-k输出，即单个实例的多个分类.准确性不是很重要.

I need a library for naïve Bayes large scale, with millions of training examples and +100k binary features. It must be an online version (updatable after training). I also need top-k output, that is multiple classifications for a single instance. Accuracy is not very important.

目的是提供一种自动文本分类应用程序.

The purpose is an automatic text categorization application.

任何关于好的图书馆的建议都将受到赞赏.

Any suggestions for a good library is very appreciated.

该库最好使用Java.

The library should preferably be in Java.

推荐答案

如果还接受除朴素贝叶斯之外的学习算法，请查看 Vowpal Wabbit (C ++)，其声誉是最好的可扩展文本分类算法之一(在线随机梯度下降+ LDA).我不确定它是否输出top-K.

If a learning algorithm other than naïve Bayes is also acceptable, then check out Vowpal Wabbit (C++), which has the reputation of being one of the best scalable text classification algorithms (online stochastic gradient descent + LDA). I'm not sure if it does top-K output.

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