Parents (Total: 170)

The searched file hash is included in 170 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
MD5	D9668CEEC384DA848C0152858C0B8B6B
PackageArch	s390x
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification.
PackageMaintainer	Fedora Project
PackageName	libsvm
PackageRelease	5.fc21
PackageVersion	3.18
SHA-1	007CF326D4B797B27C3B960E206B7B96C39D70A5
SHA-256	3B0C36FADA755E4307C85C88C35FE3DDC0DC1E5F605588199F27A0226679ACB3

Key	Value
MD5	1A642DCAB567060D9D98B24CDBB866B2
PackageArch	armv7hl
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification.
PackageMaintainer	Fedora Project
PackageName	libsvm
PackageRelease	5.fc33
PackageVersion	3.24
SHA-1	04090A4FCFF450D6BF4D9EF0B38B05B08476AA3C
SHA-256	9B80363BB691C65342073E9FF94C71D745293398BF5E57BE3A6B1F9C99C57E39

Key	Value
MD5	2E9D3AE59FAA76BF6EA410E9A9B2C420
PackageArch	aarch64
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification.
PackageMaintainer	Fedora Project
PackageName	libsvm
PackageRelease	3.fc22
PackageVersion	3.20
SHA-1	05DAB7D6DC97F82CFA9A5384941952630BFDD4F2
SHA-256	C9880FEFD58BAB0DE1E05A88CFAC828699903954E99F0A1DB906DB8B479C564B

Key	Value
MD5	4E4154C6C7CFBC357411A4D1F07EC144
PackageArch	ppc64le
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification.
PackageMaintainer	Fedora Project
PackageName	libsvm
PackageRelease	3.el7
PackageVersion	3.23
SHA-1	05EA5D983768693586E07D7ADF59676356C1CED6
SHA-256	EAD23CDEFC0A5C61B4F116C0D83399BFF2A641125C6B659D5A271D22C0E9D75E

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
FileSize	22376
MD5	D6DA02D18C8EC823F1BA81A95C240239
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-4
SHA-1	0EA0FA758B18CEBFBE14F87201A98080F7731C50
SHA-256	5EF680D8FA36337DC9D8E64C301E97E4DC03036D6714EAFE87E78A0591845FB9

Key	Value
MD5	5A832D6A7850C80D544BEF9DEB38D9C9
PackageArch	aarch64
PackageDescription	This package contains cli-tools for use with liblinear. For further information read "3.1 Practical Usage" from the pdf included in the liblinear-doc package.
PackageMaintainer	Fedora Project
PackageName	liblinear-cli
PackageRelease	23.fc32
PackageVersion	1.94
SHA-1	0F0C226A7B8539E0EC583A119B3A2B077337DDF5
SHA-256	BC94B9AFA02A99397531CCE04D1DD84A7D675F9D144B238175AB35790765F494

Key	Value
MD5	6F0981270324DB6E058184605340B4B5
PackageArch	armv5tel
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification.
PackageMaintainer	Fedora Project
PackageName	libsvm
PackageRelease	3.fc15
PackageVersion	3.0
SHA-1	17CE9B5D4696A2450E786B1B9B06870EC3134554
SHA-256	17B3105E5AEAE44B0516EA80AEC99A0C36E06D01E257D5E62A79A3BB112CC74F

Key	Value
MD5	03DF8D74F412EB9202CABC4CC91ED340
PackageArch	s390x
PackageDescription	LIBSVM is an integrated software for support vector classification, (C-SVC, nu-SVC ), regression (epsilon-SVR, nu-SVR) and distribution estimation (one-class SVM ). It supports multi-class classification.
PackageMaintainer	Fedora Project
PackageName	libsvm
PackageRelease	3.fc15
PackageVersion	3.0
SHA-1	1B0E4C4EF762FA26B49E30172CC744653ED306C3
SHA-256	D5ACD8F0DF30E652B4235E17DED50A222C99190B658BE16B069054B0178CE66A

Key	Value
FileSize	18400
MD5	8A9DDD9705F72817526C091E577C1CB2
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	liblinear-tools
PackageSection	science
PackageVersion	2.3.0+dfsg-4
SHA-1	230745F71ACF585413B2B9063C760F16A5130A65
SHA-256	4594D98F8DC1F4DFE5E8F57C4C0860BDAEFC842C6E6E0027A8DADABBA9876663