Key | Value |
---|---|
FileName | ./usr/share/doc/libtinysvm-dev/buildinfo_armhf.gz |
FileSize | 2545 |
MD5 | 5E8E0F99634D0F539854FFFECAF837E2 |
SHA-1 | 617B11C7F1D6B9C2F750B8894483D45127434B55 |
SHA-256 | EDF1B5F6DFB5DD78C91CDA8E265B4996718DDF9885239A314DE918E771E4A5BA |
SSDEEP | 48:Xbg52LuU2afI85Z2zkI4vej9AT5qAEPzirUd9MruS:M8312IqAErirUQrL |
TLSH | T1C1514A5AFD4AE5A72DF1A4915E1253A9A001E9F1B868B0B40E3732016CD3704ED5F784 |
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 | 46354 |
MD5 | ED126815839834FCC63519DFE8CAE0D9 |
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 | E99E820FB35593F9FD9DB27F2D86570F0C0F4931 |
SHA-256 | 615BA01133B866367FF8449B313B2775DFF951F71A0A29AF22DF3B148D031660 |