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| hashlookup:parent-total | 33 |
| hashlookup:trust | 100 |
The searched file hash is included in 33 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileSize | 41904 |
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| PackageDescription | LIBSVM header files LIBSVM, a machine-learning library, is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. . This package contains the development header files. |
| PackageMaintainer | Chen-Tse Tsai <ctse.tsai@gmail.com> |
| PackageName | libsvm-dev |
| PackageSection | libdevel |
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| Key | Value |
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| PackageDescription | LIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. |
| PackageMaintainer | Chen-Tse Tsai <ctse.tsai@gmail.com> |
| PackageName | libsvm-tools |
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| PackageDescription | LIBSVM binary tools LIBSVM is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. |
| PackageMaintainer | Chen-Tse Tsai <ctse.tsai@gmail.com> |
| PackageName | libsvm-tools |
| PackageSection | devel |
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| PackageDescription | LIBSVM header files LIBSVM, a machine-learning library, is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. . This package contains the development header files. |
| PackageMaintainer | Chen-Tse Tsai <ctse.tsai@gmail.com> |
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| PackageDescription | library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. |
| PackageMaintainer | Chen-Tse Tsai <ctse.tsai@gmail.com> |
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| PackageDescription | library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. |
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