Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.so.1.2.0 |
FileSize | 68272 |
MD5 | B2BA7887B0F942C35722C5DE8D71CD84 |
SHA-1 | 48FDC7BC2BC2EBBC8C5A09247BBF069111399103 |
SHA-256 | 69589C6CDEF9B7D984D8E4C71F270D0F2279D37FDB78F6D1B5BCECD0275C60BA |
SSDEEP | 768:rZ39vyPjqOsMCf74qXT5mC4kehs0GPQtJWehqnR2BAL8wOY/t1Fs:l9vQjqOsMCzj8s0GEqnRd8wOY7 |
TLSH | T1FE632A4FB691DC7EC496E63006CBA3B1AA7035455221553F348CEB387F2A9A20F1EE75 |
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 |