| Key | Value |
|---|---|
| FileSize | 86684 |
| MD5 | 81630BABE9CCDEFE3120FC0A4E489716 |
| 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 | F66D5F9F0F097BEB3DCC17402F4C325BEAE9011E |
| SHA-256 | 28765DD2309440051D9C8807FB8381E7054156CCE5D7ED857F7F624150BD2CAF |
| 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/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/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/bin/svm-grid |
| FileSize | 15320 |
| MD5 | 2F174B14DEEBE0E5BD1C891D75709EC7 |
| SHA-1 | 189E49FC44A53743F3414625BCFD7ABE199CBC75 |
| SHA-256 | D371D4A478C6ECA60E51B547001B8C12A92B0BAD0FFD96F4DFDC9B8BBF865125 |
| SSDEEP | 384:R968+cfT7Zswx3qaM2KRYqTsJ0nJahPOSNYarvBGWm2j2B1PC:T6a2R/TsJ0nJAWSh8LC |
| TLSH | T1BC62A69A8B2F9344C2D322F5480B85DA796DD6A3E06D4313E5EDCBD460D186BF0A7C9C |
| 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/bin/svm-easy |
| FileSize | 2723 |
| MD5 | 6F5598903EABADDCFBDFC1A1C9AADA1A |
| SHA-1 | 24D1C9CD190FC47FD1A3FBB8B999BC9A19AF747B |
| SHA-256 | 3293D67421C64059D34A837FED3D4C10A455EB8E49EA207E14D6C6AE079FC242 |
| SSDEEP | 48:qgJ47zZMyrPqijgI4PiGxIsoA5gI4UM3U20xItwRxD:qgJ4ODAgI4K+PYUM3GewRxD |
| TLSH | T1A251627AD4771D28D729B53D82C848D61F0E49A109D3793213CC98CCC68566AB0CFAF9 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm3/README.gz |
| FileSize | 9346 |
| MD5 | 34CBCECF4926EBFAA5331E8EA75015F0 |
| SHA-1 | 261115ABCF3969BE0C1AD35AE83E91EEFAFA322F |
| SHA-256 | EE791E8B06C6324A9783B13BC1B7EBBE55F354CEA194455DE906B4BDB8605790 |
| SSDEEP | 192:jBGdhymovR6DC7eY+3pNRxQ0oeUWPxr46uXDifXUGMw/tw8Z6gUgnvACp:jBpDJQCCY0/RxLZUWPYzsEGDtwlgnvAQ |
| TLSH | T18212CF3C77104CAC4114B8F0C9E8E67BB21EDBEABE342019EBA1756499345367631BA9 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-libsvm/copyright |
| FileSize | 2022 |
| MD5 | 2134FCE5AC9590F41EF300E90F35FD63 |
| SHA-1 | 31CE29CB5747DC88B548E0820BB60BD6AAE70CC5 |
| SHA-256 | 643A55587B6DFF78E84339A3FBE3F9CB17858CB6F6BD682CB057D3D493F9CB30 |
| SSDEEP | 48:cBbG5OorYJ2rYJpBP4A2r437v32scMEtu33tYTHv:GGsorYJ2rYJpV53z3jp2P |
| TLSH | T12A41B80729880FE319D1178179BFA5D5B29EA03D7B339E056CFEE1049B3741FA4B6011 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-predict |
| FileSize | 58900 |
| MD5 | 0B6F70D16B201002D1C6F6E8CA32EA5E |
| SHA-1 | 510CF37B2ED5A367AA8DB86720465DA61FE2D99C |
| SHA-256 | 6DD4C84DA19A36B14FD27DD16C0D197A5082D1229330A747A3A6C6C6503B54C8 |
| SSDEEP | 768:COmDdRbmK9h8HsgpTcmF1SqqZS0AWu4bjB0a+98mUKZXjoW1+vDD0zyqxtEtd2Cx:Fmb8MSmtA5ojB0Lwgs6+7D9QMJX |
| TLSH | T1DB43F986AC41DAB6C6C01339F75E97D933271778D3DA77029802461A7FDB68B4B36B02 |
| Key | Value |
|---|---|
| FileName | ./usr/bin/svm-train |
| FileSize | 58892 |
| MD5 | 2D88B67F55AC3ED3C676C3632D72BA29 |
| SHA-1 | 5E3AA2DED3BCFF8F3878436A68F4F69D05E18554 |
| SHA-256 | 5831A08D74403959219814A88C4A6401D9BA9F578232665C709D6D556A4473AC |
| SSDEEP | 768:9CmDdDOnmlsn8rAGPXCKCNU7qxWqf21ngoWedSLY424o8qAhRsia00GW7T/p/Lxg:8mqoaqB3C26OgnYSLYd4JJEG4/Ny |
| TLSH | T1BA430985AC419AA6C6C01739F39E97D933275779C3DA7703890A461E7FC768F0E36A02 |