Result for 16CA14A9DDEC59D4714C45F57362651B0AF5EA57

Query result

Key Value
FileName./usr/share/man/man1/svm_learn.1.gz
FileSize1114
MD5287F50855AFC42F81DBC518F500C5132
SHA-116CA14A9DDEC59D4714C45F57362651B0AF5EA57
SHA-2561CB4794301AC80BEB7DBCE5D1A95F0E93F0D211DA8791B45EDE764E37740A4D8
SSDEEP24:Xnycvx95bk0RzzHtPQhfhg8NXy44zxpUCk3uFuoMJ9:Xnyc/dlEvNi4WUCk3aGJ9
TLSHT1E021F98680C2F9EEB0F7663B0035F2C4292905E0CAB83D2805D629AC18239CA5263C2D
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
FileSize24886
MD510CA665CD47B175E97B93A7DF99B7213
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-18E7372C40351033EB34F595BB8ED4F8A20E2F4B8
SHA-256B5B6F03EBE90753FF1E26DD9FA6EAB644ACD7EEE755CFC2D3B0D9DFFFECC8931