Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.a |
FileSize | 134706 |
MD5 | 82CD22543D596CE1ACB6CBC35885FD10 |
SHA-1 | 3D6AA5BFE0FA5475E5473EFF5B6635E846460B4B |
SHA-256 | 6A5AED623EF247188CBF87338DDCC2F7E1D3D5E865E7E63A277B05743AE8EE76 |
SSDEEP | 3072:0rXrSXpUSSkbAwOkggueUD8SzSuuAnUYPvth68N9ipOLn:0zIO7gueUD8pYPvtY8aOn |
TLSH | T1C5D36486E7C0CEAFD8AEA179308727A57321DF2582C5B307351C4218BFBF1D9495AE61 |
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 | 50950 |
MD5 | 72EC5A31FB580DC92ABF8229B055973C |
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 | E983B09D6FFE1B9397485D08952C686343D64646 |
SHA-256 | E7A83DA1B2486304B0192D35F3C5361F47798B1591066118DE38C156D625D795 |