Key | Value |
---|---|
FileName | ./usr/share/doc/libtinysvm-dev/buildinfo_i386.gz |
FileSize | 2534 |
MD5 | 107A641505916E0E79B076D233EFA982 |
SHA-1 | 4A0A988B4F7BB0E03C94D35C682E286FF5038CEB |
SHA-256 | 7FFCDE3CB54E48845A5783468B11DB54A16B3B2E35A41F8766D9BB78380A2CFA |
SSDEEP | 48:XWZmBUyvSI0+kXfSiqsl+6JSuMKe9uPfeNhHPr9agemD:XiyvSI0+qYA+zuMLyeP0H2 |
TLSH | T130513AC1C41971EE810342A4D573795983DE63EED7CFE1CC99A6930A3E30820B4EC891 |
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 |