Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.so.1.2.0 |
FileSize | 46888 |
MD5 | 8C628B9D3BF34C937D4B8B910BC0972C |
SHA-1 | 431124954C77F79E9ED21B9B2EEC52DF08EFAA53 |
SHA-256 | 43A3FF5C3A560D6ED6DA1F134CAA42E2F7DBCFEC44EB1F7DD4A300ED7197BC1F |
SSDEEP | 768:oA320AkFW4xngBnfOhcwFQCHrEo9Ain1VzPD:p20hW4BgB7CHrEo9Ai1x |
TLSH | T15E237D4BF6C4CC9FE44FA2BF4147EBD0B2B4D949A0111F1A741C46687FAE5E64868EB0 |
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 | 31920 |
MD5 | E4D46A5B24B65C3DF2852732FABDCE6E |
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 | 20C134B483579A3755B0B0DA8C00524CAD1CF56C |
SHA-256 | D68316B28CFFCBC8240FA9DB47692DE3325D66FC2C7C28D2ED31896DD34DDEB4 |