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Weka
来自开放百科 - 灰狐
（版本间的差异）
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Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. | Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code. | ||
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| + | ==简介== | ||
| + | Weka: Machine learning software to solve data mining problems | ||
==指南== | ==指南== | ||
2017年7月3日 (一) 04:47的版本
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您可以在Wikipedia上了解到此条目的英文信息 Weka Thanks, Wikipedia. |
Weka - Open Source Data Mining
Weka is a collection of machine learning algorithms for solving real-world data mining problems. It is written in Java and runs on almost any platform. The algorithms can either be applied directly to a dataset or called from your own Java code.
目录 |
简介
Weka: Machine learning software to solve data mining problems
指南
项目
- MOA - Massive Online Analysis
- Meka: A Multi-label Extension to Weka
- OpenSubspace: Weka Subspace-Clustering Integration
- Auto-WEKA
- Weka on Spark
- Matlab Weka Interface
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