Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.a |
FileSize | 171490 |
MD5 | 52FEBA496B0F5C7B867A40446E9D595E |
SHA-1 | 6BF751FECA1D64421CF97CBB3EC4E80BCE5BE1FC |
SHA-256 | 1C337B619F8657C8FF0D6B34D62B99945A9731ED9CBD36226204B39CD110A2B1 |
SSDEEP | 1536:m3KkbDaPByPtAKNbwrpqJkvAdx/ewgL6QO6Gw7V:m37tzbKpokvADe8QO6Gw7V |
TLSH | T184F3740BDB84CDEFCA2FA53600D717A17322BA0543824707758C822A7FD77995F5AE94 |
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 | 40934 |
MD5 | 7CEADC4816C67FC37C946CF8EDE1903E |
PackageDescription | SVM trainer and classifier toolkit - development files 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 provides development headers for TinySVM. |
PackageMaintainer | Giulio Paci <giuliopaci@gmail.com> |
PackageName | libtinysvm-dev |
PackageSection | libdevel |
PackageVersion | 0.09+dfsg-2 |
SHA-1 | 8F4EE7D0BCC042E8971EF486892746E0E7C5B7C4 |
SHA-256 | E3577F8EA4CE117875D7787F2E9092395B8D5B0BCB33113515F2E55B07B741C2 |