Key | Value |
---|---|
FileName | ./usr/share/doc/libtinysvm1/buildinfo_amd64.gz |
FileSize | 2585 |
MD5 | 1FA4614DC4586A77E62B06F97AAC9C77 |
SHA-1 | 897C55916E2D5BCCD87B78783CF56D94CE69BE15 |
SHA-256 | 506E3CBC8A0D5D403818DC49A604FCE619D66DD7E945D1BD4C3552FBAB4343ED |
SSDEEP | 48:XxSx0EmgkjayzpM3wqP+pje5BvwYDSgXF4f8KCLOa6aHFuO1+:pHjayzpMAqP+0DvwISgXMKfEO4 |
TLSH | T155511C5A98ECADD88C47F87D98D33188D248606261FEBBCF25448CCE37765CA00C69B5 |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
The searched file hash is included in 1 parent files which include package known and seen by metalookup. A sample is included below:
Key | Value |
---|---|
FileSize | 36190 |
MD5 | 13A144EA458B7DA9CA27D66969DA3EC8 |
PackageDescription | SVM trainer and classifier toolkit - runtime library SVMs (Support Vector Machines) are supervised learning models with associated learning algorithms, and have been proven suitable for a large number of real-world applications, such as text categorization, hand-written character recognition, and image classification. TinySVM is an implementation specialising in pattern recognition. . This package contains the TinySVM runtime library. |
PackageMaintainer | Giulio Paci <giuliopaci@gmail.com> |
PackageName | libtinysvm1 |
PackageSection | libdevel |
PackageVersion | 0.09+dfsg-2 |
SHA-1 | 20171D29896961536E439C7F8DF8D08CD450A3C9 |
SHA-256 | 8A33404CACD932BD749655F104149A11A6FF7CD2EE769464EFE978E0A82DDB4B |