Key | Value |
---|---|
FileName | ./usr/share/doc/libtinysvm-dev/buildinfo_amd64.gz |
FileSize | 2585 |
MD5 | E491B42D485AA4359292D8DF5C0363CE |
SHA-1 | 46763EC8F556E19722DEE2A303841C6D5CD470D1 |
SHA-256 | 5E63DB08374000A767B8E8EF54AD865FADDF42266662F14D050940DF598C47E3 |
SSDEEP | 48:XvqSx0EmgkjayzpM3wqP+pje5BvwYDSgXF4f8KCLOa6aHFuO1+:/QHjayzpMAqP+0DvwISgXMKfEO4 |
TLSH | T1CB511D5658EC9DC88C47F87D98D33188D244606261FEBBCF15448CCE37765C900C59B5 |
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 |