Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.a |
FileSize | 122974 |
MD5 | 7E6596365859053138CC8D8438A64E9B |
SHA-1 | 1C6A885271EDC4032EF002AA21D64CF01B4F836B |
SHA-256 | FCC2B2CF1FE72F2A74F72D57011AC6B0C08812F04C945BB0F92E37F63DF9569B |
SSDEEP | 1536:yEGapYTfJj0cG5r8/LTQ+iLAn0O0uHRy4TJisbw8LUIzbw:yq6fM5eLTQoZHBisbwsY |
TLSH | T197C3A54ADBC6CDFBD86F6C38048353997330EB018241E717B54C161DAFAB6C62A65A6C |
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 | 47562 |
MD5 | D091480268DC1ED6370578AD5BB68475 |
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 | 17B0FB4237EC275FE1679B28DC2F6825AFD5442A |
SHA-256 | 3D4593599762E32E838A0F19E0F484F4EBAB8F8B47DCA8A816B1195F2466977A |