Parents (Total: 69)

The searched file hash is included in 69 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	41724
MD5	95373656394225D37EC5F5E62042262A
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
PackageVersion	3.21+ds-1.1
SHA-1	058D97540BD2AE1E220EAB17F5477423C16B806C
SHA-256	80F6A39A0FCE682CDC3C0985F341F9533F9EBD1B9C3886B93CDD7D65FC91927E

Key	Value
FileSize	41904
MD5	41263CE8FE44F06B208D4BDAD9D906C7
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
PackageVersion	3.21+ds-1.2
SHA-1	059CFC4E4D44416A2CCAF1FDCE4159E25821CEE1
SHA-256	1B48EC0BA3BAFADF3DA6D0483C1F4B79D41D45DD27772E7701270AF863FE8ACB

Key	Value
FileSize	85156
MD5	20D0678AB48645682303AD3EC4FEDA1E
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
PackageVersion	3.21+ds-1.2
SHA-1	08420B072B2AE4E6D026003393744630D204E9C8
SHA-256	474C589BFE375FE71214A06799FF3A28710773BDA603E0776B1C12BD119C7BB0

Key	Value
FileSize	40934
MD5	7E8336314012AAED5290B8352FDE3085
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	Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
PackageName	libsvm3
PackageSection	libs
PackageVersion	3.21+ds-1.1
SHA-1	09E0B54992139FD17CF699CD3CEBAB27EE25E4F4
SHA-256	957DF183F47DB451D5BB9EFB964E2CEA455B1D4EE04A4C62045EC037628E4C41

Key	Value
FileSize	87834
MD5	0AF360762CD114B70E7E5D7119454587
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
PackageVersion	3.21+ds-1.1
SHA-1	0BEC377B3E2757E489D711132B07B2D93CC717F3
SHA-256	E8EE3052B73B1965260614ED39008F4B4F180D79F402AB63F22129A900FA9EE2

Key	Value
FileSize	88332
MD5	72898D5DC4220C954B2AC0E56DB5184F
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
PackageVersion	3.21+ds-1.1
SHA-1	117502258982F912A9B190DF5C3156794411E243
SHA-256	D77D93BC0CBB3B97EB139C30544D69BE43AA4BB99AD74A65D036CC4F0A6140DC

Key	Value
FileSize	90936
MD5	841912AC6D98EE85211C345011A64D78
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
PackageVersion	3.21+ds-1.2
SHA-1	1577EFE5FD1D17005E395DAA38796F0C07D60841
SHA-256	388945451D42DDB35F140B2201C94FF908AE0A6AEFF1C72F84B04098D96ACD82

Key	Value
FileSize	92684
MD5	79222EFB05BD0BF322D0EBB523EA03A3
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
PackageVersion	3.21+ds-1.1
SHA-1	1A3ACD328CE20EABEDD2A2CCEE19D119B6C89D72
SHA-256	DCBAADEBBD0C4CBFD5A0673A22D791B8DCB82E2900ACDB776CE8BA640C9CA45C

Key	Value
FileSize	41900
MD5	174F66E90B21EA8FCB15ED581B1FBB83
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
PackageVersion	3.21+ds-1.2
SHA-1	26F3CD82D6E76AFFBBE33F936330896DBD1356DE
SHA-256	9170DE0FA53B2F5D84C2141F0C11BE115BA4C1BC9E45DDB9978944CEB69890F8

Key	Value
FileSize	44488
MD5	F483BAADB2F34D282DF11C20650E4512
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>
PackageName	libsvm3
PackageSection	libs
PackageVersion	3.21+ds-1.2
SHA-1	28025BECD4A9BE897A864C72C298CC5099206A4C
SHA-256	F8B416BEA8F597D8B4055351CBC0EBAF711CD0136578180805538BC61687D29B