| Key | Value |
|---|---|
| FileName | ./usr/share/doc/weka-doc/doc/weka/classifiers/bayes/net/search/local/TabuSearch.html |
| FileSize | 29362 |
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| SHA-256 | 5525522252B38DDD0CF9DC97716064EF2A7AA8369B5A46A42D78C3CBBDAC7872 |
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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 | 4758698 |
| MD5 | 395F555A6E718A6B2C0E1DE71592AADD |
| 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 | Debian Java Maintainers <pkg-java-maintainers@lists.alioth.debian.org> |
| PackageName | weka-doc |
| PackageSection | doc |
| PackageVersion | 3.6.11-1 |
| SHA-1 | CFDCD26A0ED845AFABE8E92F027D15660E249381 |
| SHA-256 | 015228BF7DC31378600CC3329219DA0788DBB4799C6C4275B305D90DC84F3D80 |