blocks|key|377741|text|Encog|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|377742|它是在Apache下授权的，因此您可以在您的commecrial项目中使用它。在我所见过的所有Java+AI库中，它是性能最好、最容易使用的。|377743|entityMap|0|LINK|mutability|MUTABLE|url|http://www.heatonresearch.com/encog^0|0|5|0|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@$A|O|B|P|1|Q]]|C|$]]|$1|D|3|E|5|6|7|R|8|@]|9|@]|C|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|C|$]]]|G|$H|$5|I|J|K|C|$L|M]]]]

<a href="http://www.heatonresearch.com/encog" rel="noreferrer">Encog</a>

It is licensed under Apache, so you can use it in your commecrial projects as you see fit. It's the best performing &amp; most easy to use out of all Java AI libs I've ever seen in my experience.

blocks|key|3339549|text|这在某种程度上取决于你想要使用哪种算法，但如果你只需要决策树(我看过一些论文声称“决策树是人们唯一需要的机器学习算法”，LOL)，C5.0是C4.5的改进版本，只在from+the+author's+own+company.上可以买到(是的，我知道这个网站看起来自1995年以来就没有人碰过它，但它们仍然存在，LOL……)|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|3339550|看起来LIBSVM也可以用于商业用途，而LIBSVM可能是第一或第二广泛使用的支持向量机实现(与SVMlight相比)。Oracle还包括SVM分类，只要您拥有正确的许可证，就可以将其用于商业用途。在大多数情况下，支持向量机远远优于决策树，但有时使用支持向量机进行分类就像用一个破坏球杀死一只苍蝇。我也看到过支持这一点的论文，哈哈。|3339551|所以，如果你想看这些文件，请告诉我。:)|3339552|entityMap|0|LINK|mutability|MUTABLE|url|http://www.rulequest.com/products.html|1|http://www.csie.ntu.edu.tw/~cjlin/libsvm/^0|2A|U|0|0|3|6|1|0|0^^$0|@$1|2|3|4|5|6|7|R|8|@]|9|@$A|S|B|T|1|U]]|C|$]]|$1|D|3|E|5|6|7|V|8|@]|9|@$A|W|B|X|1|Y]]|C|$]]|$1|F|3|G|5|6|7|Z|8|@]|9|@]|C|$]]|$1|H|3|-4|5|6|7|10|8|@]|9|@]|C|$]]]|I|$J|$5|K|L|M|C|$N|O]]|P|$5|K|L|M|C|$N|Q]]]]

It somewhat depends on which algorithm you'd like to use, but if decision tree is all you need (I have seen papers that claim that "decision tree is the only machine learning algorithm one ever needs", LOL), C5.0 is an improved version of C4.5 that is only available commercially <a href="http://www.rulequest.com/products.html" rel="nofollow">from the author's own company.</a> (Yes, I know the website looks like it hasn't been touched since 1995, but they are still in business, LOL...)

It also looks like <a href="http://www.csie.ntu.edu.tw/~cjlin/libsvm/" rel="nofollow">LIBSVM</a> is available for commercial use, and LIBSVM is probably the first- or second-most widely used Support Vector Machine implementation (versus SVMlight). Oracle also includes SVM classification which can be used commercially provided you have the right license with them. SVM is, in most cases, far superior to decision tree, but sometimes using SVM for classification is like using a wrecking ball to kill a fly. I've seen papers that support this as well LOL.

So yeah let me know if you'd like to see any of those papers. :)

blocks|key|2285412|text|你可以获得Weka的商业许可(可能也包括RapidMiner+)。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|2285413|entityMap^0|0^^$0|@$1|2|3|4|5|6|7|D|8|@]|9|@]|A|$]]|$1|B|3|-4|5|6|7|E|8|@]|9|@]|A|$]]]|C|$]]

You can get a commercial license for Weka (and presumably for RapidMiner as well).

blocks|key|5451715|text|我知道回答自己的问题是一种糟糕的风格，但我发现了一个很好的BSD许可的API，它有许多不同的实现。它的名字是Cognitive+Foundry，它是在美国国家实验室开发的。它还附带了显着性测试、聚类、统计实用程序和文本包的实现。|type|unstyled|depth|inlineStyleRanges|entityRanges|offset|length|data|5451716|entityMap|0|LINK|mutability|MUTABLE|url|http://foundry.sandia.gov/^0|1I|H|0|0^^$0|@$1|2|3|4|5|6|7|L|8|@]|9|@$A|M|B|N|1|O]]|C|$]]|$1|D|3|-4|5|6|7|P|8|@]|9|@]|C|$]]]|E|$F|$5|G|H|I|C|$J|K]]]]

I know it is bad style to answer one's own question, but I found a nice BSD-licensed API with a number of different implementations. Its name is <a href="http://foundry.sandia.gov/" rel="nofollow">Cognitive Foundry</a> and it is developed in an US National Lab. It also comes with implementations for significance tests, clustering, statistic utilities and a text package.

blocks|key|5451754|text|这是一个精心设计的机器学习库。它的重点更多地放在自然语言处理上，但您可以将学习算法用于各种任务。有一个面向学者和研究人员的GPL许可版本和一个面向企业的商业许可版本。|type|unstyled|depth|inlineStyleRanges|entityRanges|data|5451755|LingPipe+http://alias-i.com/lingpipe/|offset|length|5451756|entityMap|0|LINK|mutability|MUTABLE|url|http://alias-i.com/lingpipe/^0|0|9|S|0|0^^$0|@$1|2|3|4|5|6|7|N|8|@]|9|@]|A|$]]|$1|B|3|C|5|6|7|O|8|@]|9|@$D|P|E|Q|1|R]]|A|$]]|$1|F|3|-4|5|6|7|S|8|@]|9|@]|A|$]]]|G|$H|$5|I|J|K|A|$L|M]]]]

This is a well crafted machine learning library. It's focus is more on natural language processing, but you can use the learning algorithms for a variety of tasks. There's a GPL licensed version for academics and researchers and a commercial license version for businesses.

LingPipe
<a href="http://alias-i.com/lingpipe/" rel="nofollow">http://alias-i.com/lingpipe/</a>

Does anyone know a good Java machine learning library I can use for a commercial product? 
Weka and Rapidminer unfortunately do not allow this. I already found <a href="http://mahout.apache.org/">Apache Mahout</a> and <a href="http://www.jdmp.org/">Java Data Mininng Package</a>. Has anyone experience with them and provide some decision support? 
The task calls for clustering and classification algorithms.

Java machine learning library for commercial use?

翻译质量差，导致语言生硬或混乱。

没有提供实际的解决方法或示例。

解答不清晰，无法理解或解决问题。

页面排版不美观，阅读体验差。

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有谁知道一个好的Java机器学习库，我可以将其用于商业产品？不幸的是，Weka和Rapidminer不允许这样做。我已经找到和了。有没有人有经验并提供一些决策支持？这项任务需要聚类和分类算法。

问用于商业用途的Java机器学习库？
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