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| insert-timestamp | 1654971450.3941727 |
| source | modern.db |
| hashlookup:parent-total | 17 |
| hashlookup:trust | 100 |
The searched file hash is included in 17 parent files which include package known and seen by metalookup. A sample is included below:
| Key | Value |
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| PackageDescription | Development libraries and header files for LIBLINEAR LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. . This package contains the header files and static libraries. |
| PackageMaintainer | Christian Kastner <debian@kvr.at> |
| PackageName | liblinear-dev |
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| PackageDescription | Development libraries and header files for LIBLINEAR LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. . This package contains the header files and static libraries. |
| PackageMaintainer | Christian Kastner <debian@kvr.at> |
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| PackageDescription | Development libraries and header files for LIBLINEAR LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. . This package contains the header files and static libraries. |
| PackageMaintainer | Christian Kastner <debian@kvr.at> |
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| PackageDescription | Debugging symbols for LIBLINEAR LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. It also provides Python bindings. . This package contains the debugging symbols. |
| PackageMaintainer | Christian Kastner <debian@kvr.at> |
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| PackageMaintainer | Christian Kastner <debian@kvr.at> |
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| PackageDescription | Library for Large Linear Classification LIBLINEAR is a library for learning linear classifiers for large scale applications. It supports Support Vector Machines (SVM) with L2 and L1 loss, logistic regression, multi class classification and also Linear Programming Machines (L1-regularized SVMs). Its computational complexity scales linearly with the number of training examples making it one of the fastest SVM solvers around. It also provides Python bindings. . This package contains the shared libraries. |
| PackageMaintainer | Christian Kastner <debian@kvr.at> |
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