Result for CD6A294DA2C3210ED01C3BB5396C2796D23CD99D

Query result

Key Value
FileName./usr/share/doc/libsvm-tools/FAQ.html
FileSize83089
MD574EBCAC095555B66BB42E331AFA72DBD
SHA-1CD6A294DA2C3210ED01C3BB5396C2796D23CD99D
SHA-256CDC6D97FAC7C6F3B841DFDA5ADAFB4E8A47FCE39886344D2B5B0AA6E8BC4BEB1
SSDEEP1536:U5SxA1WJUxg5Yskopincm3xM+0YAFuAaEAE:UwxA1WJUxKYskEyL0YCuApAE
TLSHT1F6830A37D9816E3B421362A59A0E75F87F0640FDA3262A11B47C40173B51F68AF3EBD9
hashlookup:parent-total46
hashlookup:trust100

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Parents (Total: 46)

The searched file hash is included in 46 parent files which include package known and seen by metalookup. A sample is included below:

Key Value
FileSize41724
MD595373656394225D37EC5F5E62042262A
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-dev
PackageSectionlibdevel
PackageVersion3.21+ds-1.1
SHA-1058D97540BD2AE1E220EAB17F5477423C16B806C
SHA-25680F6A39A0FCE682CDC3C0985F341F9533F9EBD1B9C3886B93CDD7D65FC91927E
Key Value
FileSize41904
MD541263CE8FE44F06B208D4BDAD9D906C7
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-dev
PackageSectionlibdevel
PackageVersion3.21+ds-1.2
SHA-1059CFC4E4D44416A2CCAF1FDCE4159E25821CEE1
SHA-2561B48EC0BA3BAFADF3DA6D0483C1F4B79D41D45DD27772E7701270AF863FE8ACB
Key Value
FileSize85156
MD520D0678AB48645682303AD3EC4FEDA1E
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.2
SHA-108420B072B2AE4E6D026003393744630D204E9C8
SHA-256474C589BFE375FE71214A06799FF3A28710773BDA603E0776B1C12BD119C7BB0
Key Value
FileSize87834
MD50AF360762CD114B70E7E5D7119454587
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.1
SHA-10BEC377B3E2757E489D711132B07B2D93CC717F3
SHA-256E8EE3052B73B1965260614ED39008F4B4F180D79F402AB63F22129A900FA9EE2
Key Value
FileSize88332
MD572898D5DC4220C954B2AC0E56DB5184F
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.1
SHA-1117502258982F912A9B190DF5C3156794411E243
SHA-256D77D93BC0CBB3B97EB139C30544D69BE43AA4BB99AD74A65D036CC4F0A6140DC
Key Value
FileSize90936
MD5841912AC6D98EE85211C345011A64D78
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.2
SHA-11577EFE5FD1D17005E395DAA38796F0C07D60841
SHA-256388945451D42DDB35F140B2201C94FF908AE0A6AEFF1C72F84B04098D96ACD82
Key Value
FileSize92684
MD579222EFB05BD0BF322D0EBB523EA03A3
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.1
SHA-11A3ACD328CE20EABEDD2A2CCEE19D119B6C89D72
SHA-256DCBAADEBBD0C4CBFD5A0673A22D791B8DCB82E2900ACDB776CE8BA640C9CA45C
Key Value
FileSize41900
MD5174F66E90B21EA8FCB15ED581B1FBB83
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-dev
PackageSectionlibdevel
PackageVersion3.21+ds-1.2
SHA-126F3CD82D6E76AFFBBE33F936330896DBD1356DE
SHA-2569170DE0FA53B2F5D84C2141F0C11BE115BA4C1BC9E45DDB9978944CEB69890F8
Key Value
FileSize89290
MD5CDE7B83E72C574E05C9240CFBF6F549E
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-tools
PackageSectiondevel
PackageVersion3.21+ds-1.1
SHA-129008ADB401FB6DDEB8EE0A1E7EB568FBCCA34D9
SHA-25685ED8510B6AA7CBA32AAA0B45A0F8F4900CB1ECC4043FD4B936A12A091D69775
Key Value
FileSize41722
MD5C71B5231B8A00C5603515C38A62AE598
PackageDescriptionLIBSVM 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.
PackageMaintainerChen-Tse Tsai <ctse.tsai@gmail.com>
PackageNamelibsvm-dev
PackageSectionlibdevel
PackageVersion3.21+ds-1.1
SHA-12A3570CB7FA633F4746AE5FF556EC74EBC9F2257
SHA-256A0CDB93AA5E3774E50130451A87F481CB6E0BAE723B91A484EBF76AA2C9C1E74