Result for 8ADA79EB7A0B0A7D49A456D045D9DB6C34ED2EE3

Query result

Key Value
FileName./usr/share/doc/tinysvm/html/svm_learn.html
FileSize3803
MD529600442A03177A98044B9EAF786584A
SHA-18ADA79EB7A0B0A7D49A456D045D9DB6C34ED2EE3
SHA-256F9672B59DFCD890E0DD6C4A7D2CDD9C02E06567CAFC5BAD47B7DF889DDC12655
SSDEEP96:/v0VCwjtJSOZ7UILSCz0rCItpYM90wJmj8XpY3WLX8wIpz98twSjmeyyIr:/vgx9Z1WC0Cy1+iE85YGLswIpz98twmO
TLSHT1B371321B7295ABCF16A60AAC8C5660804F3C07767610FCC82DCE2F39C4A6C75622DDCE
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
FileSize24854
MD553F837944AFF716E7773406EC3AA8E51
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-1D6EC1ABAC3F6C0E450F9CF455C766DB238AE78DF
SHA-2563B52D003B96724DECCA76F046781CDED76EF5EFB5CD7907DDB028E5E57E772C1