Result for A1A85A03A098275123DC3DFDA0DA6D492C3855AD

Query result

Key Value
FileNamechangelog.Debian.gz
FileSize2611
MD55CE6B20953533FFDFBB5563A3E492D52
RDS:package_id263768
SHA-1A1A85A03A098275123DC3DFDA0DA6D492C3855AD
SHA-2560079680E9EB7F54EF15B68D8EAC7AFE1A79645018356E7EB157DA342ABD8609D
SSDEEP48:XvvX0aOl9pgxTuTEzlnyGh5+F9Xj6Xnt4JRuDBAa8vIPJyPhSYJB+5m6G:n0Zl9KsozlnyBkXt42DB8vIPDYO5tG
TLSHT1DC513A3CAC869570B66D900B74CF6F44CAEED9917F58C98019A73C80404BBE9AF66A74
insert-timestamp1654971450.3874722
sourcemodern.db
hashlookup:parent-total17
hashlookup:trust100

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Parents (Total: 17)

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
FileSize26044
MD51B44792E6FD99B0C9CAA31A8C99C6B13
PackageDescriptionDevelopment 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-dev
PackageSectionlibdevel
PackageVersion1.8+dfsg-4
SHA-11888E658FDE40570E330C61EF3252566F2C4E133
SHA-256E852567F75D2C802AE1D1EEAF4BDF8BFC5B808CF3B4DA4C0688413D9C7761C55
Key Value
FileSize23174
MD55BA90712D2C3825AFB5D71B73FA88792
PackageDescriptionDevelopment 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-dev
PackageSectionlibdevel
PackageVersion1.8+dfsg-4
SHA-134E333CDBFFB421745D8B51A2827E1D5835872A9
SHA-25656499AC4F3A5FA916118CB1987778D8405BA63109A0411A8812312E91EF88159
Key Value
FileSize26352
MD5D6FC78531AB39EFF2871D7EDB4BE27A4
PackageDescriptionDevelopment 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-dev
PackageSectionlibdevel
PackageVersion1.8+dfsg-4
SHA-142302A30F591503013B6162F6B61FE510C9CB905
SHA-25642C27E0BEE8AC96AB3B62A7079B1CD819AD500788CACF688B4CEB7E86ABA3FE8
Key Value
FileSize55094
MD5C4D1135AD8C5FEEB5E2EE04B16A03F8B
PackageDescriptionDebugging 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-dbg
PackageSectiondebug
PackageVersion1.8+dfsg-4
SHA-14768F8A3D7DC21761218953130CD281C4B6CA529
SHA-256708DAFFF2AAB515BAF5F886D29F2646C5D8C1F8960B50B01690DF67E0CD2EEAC
Key Value
FileSize18806
MD507E93626E36C1D2940AF203D2EAE27F1
PackageDescriptionStandalone applications 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 standalone applications.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion1.8+dfsg-4
SHA-14DB30A5CC67C027A9FF342044F32DB525AB126C7
SHA-256C4D83C8F4363AD8E92E537F0B7558DD116BEA84630B282FBCCDDEB8A7464FC69
Key Value
FileSize33356
MD52C5862DE7EE712E2147B477EDBC1DFF0
PackageDescriptionLibrary 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear1
PackageSectionlibs
PackageVersion1.8+dfsg-4
SHA-150A55ECF92C12B51275C338F3A9798A4F5B7F95C
SHA-256F5E519190B2B730E78E925EAFC692CF1705308E80EB87A1B5E9C8BFC52CFCD3C
Key Value
FileSize14220
MD597FA43D15645398368B933E655D7846E
PackageDescriptionPython bindings 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 Python bindings.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNamepython-liblinear
PackageSectionpython
PackageVersion1.8+dfsg-4
SHA-160F6B9397E2325A94DD7D042C98735D2AA8E98FF
SHA-256D6C1DAF36D9FBB80F8D3EF5CF416528D33AA6369288A17B61E5627ECE826C332
Key Value
FileSize32948
MD5A0CB3D8C56C3DF3D2F57D6B3EE0FB8AE
PackageDescriptionLibrary 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear1
PackageSectionlibs
PackageVersion1.8+dfsg-4
SHA-1771C86629F1530C6016EC4C82ACF1271EAC682DD
SHA-256B5B1D96FFE11C36E39C4EB216FA267E590F2E26349FB57C36D2FCF3C940FD437
Key Value
FileSize19088
MD5998CF1A30AB021D9FA501CE29D3AAD64
PackageDescriptionStandalone applications 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 standalone applications.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-tools
PackageSectionscience
PackageVersion1.8+dfsg-4
SHA-1792BD63655EABAA8E3F209D86398BA3318334DB4
SHA-256A12C07C8C6973093128D62173DF3E15042CBACC2082199763CEE1312F43E6CF7
Key Value
FileSize62860
MD594E3AD8F9CB2F992ADCCE1DD5A1D602F
PackageDescriptionDebugging 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.
PackageMaintainerChristian Kastner <debian@kvr.at>
PackageNameliblinear-dbg
PackageSectiondebug
PackageVersion1.8+dfsg-4
SHA-183BE0C6A6C8A287A5B13F3EF7C35D8FEBA4BE45C
SHA-2561C17CE6AAE4EB24B686D85DC5740ADFC35E909842216D42D9891EA15601B12C0