Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.so.1.2.0 |
FileSize | 81496 |
MD5 | 2DF278B2DE817C8BF3CF10ABC8CA4FD2 |
SHA-1 | A624BBEECC05D09A13E4C81DC03A4D6EEB8E2813 |
SHA-256 | 494148F3EDB55C24F3E99D4CD70444BDA36E7AFCA2BC127A117770115C16BE87 |
SSDEEP | 768:yw/8BqjfheFhZZ+MIhzukzDdcez+tkIKlZkDWv9SV2EPGzgtm5wqOzO9Oy7V:T/8sjfsyukzDZaiNfp92CQO9OyZ |
TLSH | T13A8329577388DE5BC0EB9E35487792F1227D294763400A1A7E8C1B7CAF379CA4F82985 |
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 | 31526 |
MD5 | A34926154FDD6110EFDDC7894BEE8323 |
PackageDescription | SVM trainer and classifier toolkit - runtime library 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 contains the TinySVM runtime library. |
PackageMaintainer | Giulio Paci <giuliopaci@gmail.com> |
PackageName | libtinysvm1 |
PackageSection | libdevel |
PackageVersion | 0.09+dfsg-2 |
SHA-1 | 6A892493B7D06688366DD761AB8513613F5BC961 |
SHA-256 | 35EABA56AE23C67B1767672A189F3971EFADDC5989B29FF3E10469E390DEBEF8 |