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| FileName | ./usr/share/doc/weka-doc/doc/weka/associations/package-frame.html |
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| SHA-256 | E3A7B6D4555888D896E8DC83BB03E42B1C4D7FEFE199D932703911D1883C474A |
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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 | 4763266 |
| MD5 | 3972925652915ED8C857BAE63A9BB3F5 |
| 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 documentation. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | weka-doc |
| PackageSection | doc |
| PackageVersion | 3.6.13-1 |
| SHA-1 | 89FCB64503135EDBD6598C3F272087F47329AFA8 |
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