Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.a |
FileSize | 113682 |
MD5 | 398414F2929ADBC500110348A9AA1EF3 |
SHA-1 | 66EE24987D688755FDDBA9FEE2865B1EBF38F69E |
SHA-256 | 85B9D107406CB4DCF7A97BCD1F5521EBF07B4DC1F76C9FE43D9AE7502222D951 |
SSDEEP | 1536:14mXg+xnITRAZ/TPNPtuSVwwZx7yKfY5CLAvk3i817JPBW:14mw+nIsPNPtuGxdFY5Zvsi81NA |
TLSH | T154B3A546C7C8CDAFE8AFB57904876794B364DE149280E31B309C1638AFAB2D94D95F70 |
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 |