Key | Value |
---|---|
FileName | ./usr/share/doc/tinysvm/buildinfo_s390x.gz |
FileSize | 2352 |
MD5 | C5FCEB1B630B7C7B2314FC7C2EAB582F |
SHA-1 | 729973C7172D896910717ABDABE1090CBF4F86E1 |
SHA-256 | 701C05A939D7C43AA45C5EF1839C6E4ADDE3E9E6C95FBA47D207032B75D32729 |
SSDEEP | 48:X5ELKN6KjNqiziA6J67w1x9lrqzOGY0FJxkltKB/GEnkxPW97GRLRgi:qLK6KxqiGJQOGY0qFEkM6Rgi |
TLSH | T1CF411A24309A74E370BA081417F6181FB21ED0682CC92EA03AE5C27C6D5532B3D559AB |
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 | 27980 |
MD5 | 97CB1BA1F4C7807F81D4FA5AB4C3A2E2 |
PackageDescription | SVM trainer and classifier toolkit 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 tools for developing SVMs with TinySVM. |
PackageMaintainer | Giulio Paci <giuliopaci@gmail.com> |
PackageName | tinysvm |
PackageSection | science |
PackageVersion | 0.09+dfsg-2 |
SHA-1 | 922559E680CB271D12E4D1D86FF20E374FBA94F3 |
SHA-256 | 03352685C4EC39DD3378E57CA779708866EDE76105847BF0D55790435D20F527 |