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|---|---|
| FileName | ./usr/share/java/weka-3.6.14.jar |
| FileSize | 6761570 |
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| SHA-256 | FCDC5315CB9054B396D2E1BAC7E007800B01B3D2221CCA6AFB065F6821E60B42 |
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| hashlookup:parent-total | 1 |
| hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 6627440 |
| MD5 | 66104E721852F1E0161A50B89B207C28 |
| PackageDescription | Machine learning algorithms for data mining tasks Weka is a collection of machine learning algorithms in Java that can either be used from the command-line, or called from your own Java code. Weka is also ideally suited for developing new machine learning schemes. . Implemented schemes cover decision tree inducers, rule learners, model tree generators, support vector machines, locally weighted regression, instance-based learning, bagging, boosting, and stacking. Also included are clustering methods, and an association rule learner. Apart from actual learning schemes, Weka also contains a large variety of tools that can be used for pre-processing datasets. . This package contains the binaries and examples. |
| PackageMaintainer | Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org> |
| PackageName | weka |
| PackageSection | science |
| PackageVersion | 3.6.14-3 |
| SHA-1 | 413578EA72D0F2A5014C6B028565B5B5B69E7E30 |
| SHA-256 | 58EA5EC3B42CA9719BE5756D1BD64EBED0E69D16D6FFFA200B3CEBF4CCCCAB16 |