Weka package for the Deeplearning4j java library. Contribute to Waikato/wekaDeeplearning4j development by creating an account on GitHub.
Weka is a comprehensive open source Machine Learning toolkit, written in Java at the University of Waikato, New Zealand. These functions provide a basic Matlab interface to Weka allowing you to transfer data back and forth and access major Weka features, such as training Classifiers. They have ...
1从 这里 http://www.cs.waikato.ac.nz/ml/weka/ 下载weka,我下载的版本是3-6-6 2 从这里下载svm包 http://weka.wikispaces.com/LibSVM ,我下载的是 libsvm.jar 3 为了方便我们使用weka,修改~/.bashrc 找到CLASSPATH,将weka.jar和libsvm.jar的路径添加进入 CLASSPATH, $WEKA_PATH= weka解压的路径 CL...
Download references Acknowledgments Many thanks to past and present members of the Waikato machine learning group and the many external contributors for all the work they have put into Weka. Author information Authors and Affiliations Department of Computer Science, University of Waikato, Hamilton, New...
虽然从SourceForge.net网站也可以下载,但从Weka官网下载会更为方便,更为重要的是Weka官网还有很多相关资源,供下载的软件版本也更为齐全。在浏览器地址栏中输入“http://www.cs.waikato.ac.nz/~ml/weka/”,并按Enter键,在主页的导航栏单击Download超链接,根据自己的计算机所安装的操作系统选择下载文件。
WIT is a collaboration project between the Arabic natural language processing team from the University of Jordan and Weka's development team from the University of Waikato. Its main goal is to facilitate the translation process of Weka's interfaces into multi-languages. WIT is downloadable through...
2、 learning tool developed by department of computer science, university of waikato, new zealand.weka is also a bird found only on the islands of new zealand. 3全面分析download and install wekawebsite: http:/www.cs.waikato.ac.nz/ml/weka/index.htmlsupport multiple platforms (written in java...
Maybe this helps! Alternatively download weka-3-0-6.jar form http://www.cs.waikato.ac.nz/ml/weka/index.html (copy into your web brouwser) and expand the source by using the jar utility. I used a normaly zip utility to extract the source files. Only I had to change the ".jar" ...
Java (convolutional or fully-connected) neural network implementation with plugin for [Weka] (http://www.cs.waikato.ac.nz/ml/weka/). Uses dropout and rectified linear units. Implementation is multithreaded and uses [MTJ] (https://github.com/fommil/matrix-toolkits-java) matrix library with nati...
Download and install the WEKA System. It can be downloaded from the University of Waikato website. Install it following its own instructions. Download and install the COLT numeric package. It can be downloaded from the COLT project’s website. To install it follow its own instructions. Download...