Result for 729973C7172D896910717ABDABE1090CBF4F86E1

Query result

Key Value
FileName./usr/share/doc/tinysvm/buildinfo_s390x.gz
FileSize2352
MD5C5FCEB1B630B7C7B2314FC7C2EAB582F
SHA-1729973C7172D896910717ABDABE1090CBF4F86E1
SHA-256701C05A939D7C43AA45C5EF1839C6E4ADDE3E9E6C95FBA47D207032B75D32729
SSDEEP48:X5ELKN6KjNqiziA6J67w1x9lrqzOGY0FJxkltKB/GEnkxPW97GRLRgi:qLK6KxqiGJQOGY0qFEkM6Rgi
TLSHT1CF411A24309A74E370BA081417F6181FB21ED0682CC92EA03AE5C27C6D5532B3D559AB
hashlookup:parent-total1
hashlookup:trust55

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Parents (Total: 1)

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
FileSize27980
MD597CB1BA1F4C7807F81D4FA5AB4C3A2E2
PackageDescriptionSVM 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.
PackageMaintainerGiulio Paci <giuliopaci@gmail.com>
PackageNametinysvm
PackageSectionscience
PackageVersion0.09+dfsg-2
SHA-1922559E680CB271D12E4D1D86FF20E374FBA94F3
SHA-25603352685C4EC39DD3378E57CA779708866EDE76105847BF0D55790435D20F527