Parents (Total: 33)

The searched file hash is included in 33 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	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	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	89290
MD5	CDE7B83E72C574E05C9240CFBF6F549E
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	29008ADB401FB6DDEB8EE0A1E7EB568FBCCA34D9
SHA-256	85ED8510B6AA7CBA32AAA0B45A0F8F4900CB1ECC4043FD4B936A12A091D69775

Key	Value
FileSize	41722
MD5	C71B5231B8A00C5603515C38A62AE598
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	2A3570CB7FA633F4746AE5FF556EC74EBC9F2257
SHA-256	A0CDB93AA5E3774E50130451A87F481CB6E0BAE723B91A484EBF76AA2C9C1E74

Key	Value
FileSize	83552
MD5	66B9504A86EF8ED2B987D2855AB2ED5D
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	2EDF9BE2E7B2BFFAC78D64847B4DC2D74A6B803F
SHA-256	426EB7C30869FAEE9D5C6872A829CEDA73BFBFE5562F776D55F1402EF91E2877

Key	Value
FileSize	90320
MD5	230E1FB8DC862B91C4D882DB761AD2B0
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	3C7D36F1F6433710EA1941419E6C6108BC354B17
SHA-256	682798CDC2601578CEF8B6D5574F997AC437378D28337B8D23F78A624E1F9368

Key	Value
FileSize	41724
MD5	B17C34E43F56315018F4B0595418E025
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	3DDED3FE8371970D34613CD20638D530441B26D0
SHA-256	5F3EAAE182F61AC4A6A6E7CD53497E61E698AEAF44603DBE4EBAD85B7AB82811

Key	Value
FileSize	41876
MD5	751653EF7CFE6FA71B3C567514907F67
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-1.1
SHA-1	42D514AF15CA1AFD970F9230AC09184EC92BC569
SHA-256	65682D86F69E1C4880333433DF8494959A7546CFA6601ADC14F641965F6BBE97