| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libtinysvm1/buildinfo_armhf.gz |
| FileSize | 2545 |
| MD5 | 093D95099D600D413082797810405752 |
| SHA-1 | D42EAB0FDC312F336CFFD85CC5382E0982C80E23 |
| SHA-256 | C090D4C004E2D67C6AEC4BE9D24F3BF47FBA2FC829903329E92E53CAA93A97FF |
| SSDEEP | 48:XI52LuU2afI85Z2zkI4vej9AT5qAEPzirUd9MruS:A8312IqAErirUQrL |
| TLSH | T1CA514A5AFD4AE5A72DF1A4915E1253A9A001E9F1B868B0B40E3732016CD3704ED5F784 |
| 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 |