如何在新算法中添加weka功能？ [英] How to add weka features in a new algorithm?

问题描述

我想在weka中添加一种具有分类，聚类，关联等功能的新算法。我应该如何编写代码以包含所有weka功能并为该新算法向weka添加标签。
我向weka添加了一个虚拟算法，现在可以了，我想添加一个具有weka功能组合的算法。

I want to add a new algorithm to weka with features of classification, clustering, association etc in one algo. How should I write a code to include all the weka features and add a tab to weka for this new algorithm. I have added a dummy algorithm to weka and it works now I want to add an algorithm which has combination of features of weka.

谢谢

推荐答案

如果要在Weka中添加新算法，请查看Weka手册（ http://www.cs.waikato.ac.nz/ml/weka/index.html ）

If you want to add a new algorithm in Weka, have a look at the Weka Manual ( http://www.cs.waikato.ac.nz/ml/weka/index.html )

在第四部分-附录中，有扩展Weka 章节，在编写新分类器部分。从根本上说，您必须扩展一个类别，例如 AbstractClassifier 或 RandomizableClassifier 。

In the part IV - Appendix, you have the chapter Extending Weka and inside the part Writing a new Classifier. Very basically, you have to extend a Classifier like AbstractClassifier or RandomizableClassifier.

对于聚类算法，请参见其他算法部分。例如，您将必须扩展类 weka.clusterers.AbstractClusterer 。

In the case of clustering algorithms look at the part Other Algorithms. You will have to extend, for instance, the class weka.clusterers.AbstractClusterer.

但是，如果需要要在您自己的程序中使用现有算法，请查看以下链接： http://weka.wikispaces.com/How+do+I+use+WEKA%27s+classes+in+my+own+code%3F

But, if you want to use existing algorithms in your own program, have a look to this link: http://weka.wikispaces.com/How+do+I+use+WEKA%27s+classes+in+my+own+code%3F

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