Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.a |
FileSize | 153502 |
MD5 | 5BCE4BA3BD239BBA61F4B0C965915622 |
SHA-1 | 82A159EA5BD031266396E7D370D1B63B1972324A |
SHA-256 | D30DDD0143F0E37A8E90F3F7A05BBCB7B80D275047675DCB1D59C953EE76466F |
SSDEEP | 1536:yHuKJ7FVKOjh9+kWNtpcTKUIGN5xlLlurY3olqAdYwQ1hZYh+OYPO6b037XQPlMJ:yb8Ojh9+kWLpc2UIG5urW0FYdYqOW65 |
TLSH | T18BE36347F782CCAFC45E993405B772A0B239BE488A66771B310C771E6F77E848A51E60 |
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 | 48494 |
MD5 | 303D9554B7643CD0ED3EED1385B58492 |
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 | 9CD1C4D736F033E48712E0DC4790FA093426AADF |
SHA-256 | 2ADF7064E54B32F8210BB911419DD7E0BED7EF9F53A97D8B9D3E989ED9C237CB |