Key | Value |
---|---|
FileName | ./usr/share/doc/libtinysvm-dev/buildinfo_armel.gz |
FileSize | 2530 |
MD5 | DB38E4FFF050BD8449A2A31E9CD84087 |
SHA-1 | 0A16C5DE1772975ADF845E02997559337AC7F78A |
SHA-256 | 5BDC0C88B9694E0EF6DE40632188CCCBDE8E9494B1EBC20A8A1D10A6D1703BF5 |
SSDEEP | 48:Xtwk9CVg/4yX5IJ+q/wBmqTIs5zW71TUVXfhRP2xu6Sj8raa/x:dwksVaqJ+q/DyI8jV2QLQjp |
TLSH | T1DD511AB438FCCE141468E00844A6D91CD02BED0525C99A773FBEA50657298F0A2E4267 |
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 |