Parents (Total: 53)

The searched file hash is included in 53 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	21230
MD5	362CB9EC4A95F940CC655DEB63F0B341
PackageDescription	Standalone 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.
PackageMaintainer	Christian Kastner <ckk@debian.org>
PackageName	liblinear-tools
PackageSection	science
PackageVersion	2.1.0+dfsg-2
SHA-1	0B37325B81E0829A94558A615E330D803A87849E
SHA-256	4F042A45CB499F1862A5C08D65DC52151FA3211773CA066DFCF3BB7C35D65BC1

Key	Value
SHA-1	0E934D8F02E072F7BE1B32E12C1CA11DC6468EC7
snap-authority	canonical
snap-filename	HjkresXXKRSOqPptlhj12NLGjXefHoOw_1970.snap
snap-id	HjkresXXKRSOqPptlhj12NLGjXefHoOw_1970
snap-name	checkbox18
snap-publisher-id	Euf8YO6waprpTXVrREuDw8ODHNIACTwi
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2019-03-12T16:21:57.619473Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/HjkresXXKRSOqPptlhj12NLGjXefHoOw_1970.snap

Key	Value
FileSize	39610
MD5	DE039FE7AA2A52344794F1314350D34D
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 <ckk@debian.org>
PackageName	liblinear3
PackageSection	libs
PackageVersion	2.1.0+dfsg-2
SHA-1	0F210368BD2016DA191CD35F9E702D1BD1C3E5AE
SHA-256	79A62C4708F35DDB29727AE609100A9C8B07751BA1C6F17F702E39A753E43525

Key	Value
FileSize	12632
MD5	E55B722CF16E7C28D74E599BC9EA16F8
PackageDescription	Python 3 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 3 bindings.
PackageMaintainer	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	python3-liblinear
PackageSection	python
PackageVersion	2.1.0+dfsg-2
SHA-1	1208BDDC500EACC884C7566BCB8280F3D11E579C
SHA-256	F276ECB94E54566EA47AFAAD27EF0F4F2C877DC8D8E75351E7501821DB009E99

Key	Value
FileSize	33834
MD5	FC1766B1ED2C5C872BF606231492CA8D
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 <ckk@debian.org>
PackageName	liblinear-dev
PackageSection	libdevel
PackageVersion	2.1.0+dfsg-2
SHA-1	1C12B64C150CF80115B744D6C853D99035F0E949
SHA-256	2F6835CA6D0CC4FBB24EC9E46DF51ACB2EC86448DE9C8E9B4DA90D98DD15E753

Key	Value
FileSize	33488
MD5	64B75921D4490CFACB41FFCBA3A7E25B
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 <ckk@debian.org>
PackageName	liblinear-dev
PackageSection	libdevel
PackageVersion	2.1.0+dfsg-2
SHA-1	1C566233FADAC1E92F6266B80368C0B0F3268CB1
SHA-256	8A43AE0B812CF39BEA0D8664D0DC90DE81AF8A2BD1E130166624F897E461068C

Key	Value
FileSize	28274
MD5	9757CFEF3431AEAED5834700133B09F8
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 <ckk@debian.org>
PackageName	liblinear-dev
PackageSection	libdevel
PackageVersion	2.1.0+dfsg-2
SHA-1	22A0028CFE12EAFC98A4582E4103B62F1B3C791E
SHA-256	9F3AC41498A4A87AFFD371CDAD9CFCCEBF1B6884F8DA1FC5CEEF152058C0BA12

Key	Value
FileSize	40756
MD5	55A49ACDF58FDFFAD41BFCA0BF6C411C
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	liblinear3
PackageSection	libs
PackageVersion	2.1.0+dfsg-2
SHA-1	268D806727059676DA1EB26A5F556156DAB0CC0D
SHA-256	E0EE1C701DCC13A8A4CBA3CD34AEBD4C9BB43549BD62D1B6EE18DC32857CDDC4

Key	Value
FileSize	31836
MD5	AE73B2814A20297A42F2BA2BA656C7E5
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 <ckk@debian.org>
PackageName	liblinear-dev
PackageSection	libdevel
PackageVersion	2.1.0+dfsg-2
SHA-1	26CAA6B37885B03823263A0B05CD16AE605F1398
SHA-256	7F11206BE9D63E82CEA075ADE58E59B45A8C88537012675061633C50D01CF127

Key	Value
FileSize	40366
MD5	C4FF9DFC308196A2C23EEDDB07034567
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 <ckk@debian.org>
PackageName	liblinear3
PackageSection	libs
PackageVersion	2.1.0+dfsg-2
SHA-1	29A62348B500A2AAC36A862581ECA75B6C6CF0C2
SHA-256	A23317D4CB59EFDB0548BAF1B0CC980B05762265B08C4232E1AFA8737FFF8F9E