| Key | Value |
|---|---|
| FileSize | 125730 |
| MD5 | 7F5F88D6E7E5A0E663ADC139BDD6F55F |
| 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. LIBSVM homepage: http://www.csie.ntu.edu.tw/~cjlin/libsvm |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | libsvm-tools |
| PackageSection | devel |
| PackageVersion | 3.12-1 |
| SHA-1 | E1035BBCA81326A0B458604B68E76E893D8A99EE |
| SHA-256 | FEAF8293D0EF10FF57E5F4384877868B54073E13154A0F48C5E2CED0BF499FDB |
| hashlookup:children-total | 19 |
| hashlookup:trust | 50 |
The searched file hash includes 19 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-checkdata |
| FileSize | 2479 |
| MD5 | 3DE5CE671F573AD56F56537D54D06E28 |
| SHA-1 | 02548E7ACFB6F8190BC8ED11C1B4212B456BE95D |
| SHA-256 | 3E7A4EF93EFB3692361E2DE98F2AD59FFF097914ED62BB6F42ED0567E6AC7CDD |
| SSDEEP | 48:7EaDpfG23vnypeB+hnb04ZVONUTSuaCDeLqTFat8K1UAUXC1MBpku:7EatRjF4ZV0U3iLN8K5Wku |
| TLSH | T16851E54FD51E418EAA2000BEA7A8040E692D40B750B0622BF9DF1671F7C0DA3B8BC75C |
| Key | Value |
|---|---|
| FileName | ./usr/share/man/man1/svm-easy.1.gz |
| FileSize | 443 |
| MD5 | 281FE6BE43E09EDE79079A0A41822D45 |
| SHA-1 | 08448AAFA41A8D0B614FC270CAEADAE1ABDEE687 |
| SHA-256 | 4F27BF8B8DDD1AEDEF1941564619144C31300303057D7E16EA0B95CFEBB4D38A |
| SSDEEP | 12:Xbaq+iBDP7uEbv6/7bbzSgsKoBGQLzeJ8lwuiOYXr8M:XbaqjuE76jbXSgieJKiBwM |
| TLSH | T12FF02319D59BE07B4B601A26C244514E104E712D239B54DC044C8B623F16305052B136 |
| Key | Value |
|---|---|
| FileName | ./usr/share/man/man1/svm-grid.1.gz |
| FileSize | 605 |
| MD5 | B0D05E1B74CCE1916C662B11EDBE76B9 |
| SHA-1 | 0B4F745B1A61B3ADB4B461DB957927EF7EFF4AB4 |
| SHA-256 | 2CB38D3311D02B7F93047BF3EB0E6DA416412D1579E227D5AC1BD0C3CBC0FCEE |
| SSDEEP | 12:XemT9OlLY1f2AyEM7ie7LI/D3/OfyS5LYM9R8Q+5hJvtbzQ/:XeU98Lq2X3WT/O669gNVzQ |
| TLSH | T1D3F0026114CE61EA8072C066D78D5E189A085AD1AB49E74A8B0C44961B7E12E3799E0C |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-libsvm/copyright |
| FileSize | 1756 |
| MD5 | BA2450D038A1DCCF7AB2BDD03213022C |
| SHA-1 | 0CCC987A5165300A30521ACCCF0D0BC48F03235A |
| SHA-256 | 2C4CAF69520D90B67526C64E4C0B18B6AE1987CA0E515E41D726D212CA327154 |
| SSDEEP | 48:UGhOmi4yCNOYrYJWrYJ5zPbxmr43JD32sBEtI33tEHv:fYJxCgYrYJWrYJ5Pf3l3d9uP |
| TLSH | T15031A51717880BA329F2175171AAAEC4B0ADD03E3B239F001CB8B14D937B11ED07B552 |
| Key | Value |
|---|---|
| FileName | ./usr/share/man/man1/svm-predict.1.gz |
| FileSize | 1289 |
| MD5 | F00CCCE7F82CD612CA1FC4E86BA1A8E9 |
| SHA-1 | 14990211C766E499D1FFA23E74AC485481AF8F3C |
| SHA-256 | 3BC48CD236DE19733413609F92B07CAD04A5079B53B08BF301866E0E8DD2D50A |
| SSDEEP | 24:XZOj29kkriyUaOQJRkQ6BCAl5BCuVm1B/LSxWLHvpD2zsdiSF/+MQQl:XZO+EAOsaQ6BCAl5BCIYBPjvpH/+MT |
| TLSH | T1882117A9E7202D074F690B75A1E124A0E6EB01D50F65ED4448438BFDFA3DC23C0CE8A0 |
| Key | Value |
|---|---|
| FileName | ./usr/share/man/man1/svm-train.1.gz |
| FileSize | 1715 |
| MD5 | 6C642B9748BFA2BEDFF471F3EB616A8B |
| SHA-1 | 246BDB220FC495E0A3BA39FA7E5C17455538E9FA |
| SHA-256 | F88978DD8D0E9BCF50BDB391F16DDBDEB31FE96031A88164F1D00C1857C14805 |
| SSDEEP | 48:XPVwHmdlOQBSVe5AKLfiDFgP2L+7q4+dZWUlxr9xMuC:9wHwlOQUBDFa2LdlTMV |
| TLSH | T103313DAC6F589411C53022587CE36EF1EF88C1A4171CA53D6EDF40A9584568B936F24E |
| Key | Value |
|---|---|
| FileName | ./usr/share/man/man1/svm-checkdata.1.gz |
| FileSize | 486 |
| MD5 | 505F5FBFFA0787502600B6E39198636A |
| SHA-1 | 3601DBCA34991A2B6FAF4AFB93B6889ACF33F766 |
| SHA-256 | 243D4BD26DFE8B3ED4DA2DCA53A40B5417FBABA4947F5B323709F133D1CDA757 |
| SSDEEP | 12:XggAE2gsOqH++2ETtARZHjwntaaoA+MZoL7Jvi3wkiEa/:XlAasTe+2AKsnE6+iofJvigkiz/ |
| TLSH | T1BEF0C46A0E616408C8A582B88472DEF5186C3829827A0C4F8D06134687F17E0EAE3E22 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-grid |
| FileSize | 12117 |
| MD5 | 35D03E58C201D4B26AD34430DC4E1245 |
| SHA-1 | 370B6578F9D2E2119F8E25C54330DF95F7BC0C47 |
| SHA-256 | 6634191CF0006FED5C218FC30EE3136268F679172A0B6FF46FEEF37115CCE82F |
| SSDEEP | 192:tQ7HFlh2bYo45MjhIFVtc35VZqFhbezKIqXqocfUKxAZv+vfvfMHBQHWvJ6KGHVS:t032bYdSai5PYSKIEqvfvxAInMK2vUK/ |
| TLSH | T16242A51E453B4A90E30395BE08ABC219368D7C13B1489534B6DCCB580FA747FF2A5DAC |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-train |
| FileSize | 68096 |
| MD5 | A766BCCA766BE24057A436FE1D2147FB |
| SHA-1 | 40ED283A9D828A670C4FA77E10AB39E438741F31 |
| SHA-256 | BF3E795B1F765D116676AEC74C195E96C817F0EDBB42088714D8B754A851DE57 |
| SSDEEP | 1536:RFoizXRrEp/p842c4XldK5FfVCr24In+0yQWbsOOcv:RFo/eZc4VdKXfQoooc |
| TLSH | T1C4633D4BF1934CBDC096D63446FB6173AA72386D523C262E1285E779192AF204F1FF22 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-easy |
| FileSize | 2725 |
| MD5 | 12F2A3EEC270D5F6D223E8B8032A22C2 |
| SHA-1 | 50043B0C3E0FBB594DCEB1D3B6D7500673DCACB3 |
| SHA-256 | 734B119D38E1D74F9BAF86A848E0F2F1F45AAFD83E3B0E147438BF970CBBFC52 |
| SSDEEP | 48:9gJ47zZMyrPqijgI4PiGxIsoA5gI4UM3U20xItwRxD:9gJ4ODAgI4K+PYUM3GewRxD |
| TLSH | T19F51627AD4771D28D729B53D82C849D61F0E59A109D3793213CC98CCC68166AB0CFAF9 |