Key | Value |
---|---|
FileName | ./usr/share/doc/libtinysvm1/buildinfo_s390x.gz |
FileSize | 2352 |
MD5 | 8D6559B6E11776BB37D5757190A75112 |
SHA-1 | 12DB07FC2E5D43BC50C667E774A57107B7A19D5B |
SHA-256 | F8AD96504AF4C5EE82D8AB71BADBB413A60D5584DC3AC62F6E5CBEB65C81F3DD |
SSDEEP | 48:XlELKN6KjNqiziA6J67w1x9lrqzOGY0FJxkltKB/GEnkxPW97GRLRgi:uLK6KxqiGJQOGY0qFEkM6Rgi |
TLSH | T106410A24309A74E370BA181457F6181FB21ED16828C92EA43AE5C27C6D5532B3D559AA |
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 | 36958 |
MD5 | F9B35579A310BC8A4301A1136D9C1681 |
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 | 226A8DFD3ED0210D66C234AA214ABE19F1983846 |
SHA-256 | B9D0050E31143EBF2C703EA8B4396530C77CAD9ADC93D8ABC0848F52E251E9F0 |