Result for 111AFAC23D318407B7B668FF523FF52362332F03

Query result

Key Value
FileName./usr/share/doc/tinysvm/html/svm_learn.html
FileSize3761
MD5B3588E012EBA0FDEBF1740FE90A8D7D9
SHA-1111AFAC23D318407B7B668FF523FF52362332F03
SHA-2565A14F63CE4D3994B9DB0302D79D2854BC90B9D5186B51989294E12972B29CE0A
SSDEEP96:/z0CCQjtkSsfZSUIeSCQ0rCbtprM+0jJ3j80pYaWL08wI2z98twSjmeyyV2:/zdxefZI3CnCnwxVT80YHLFwI2z98tw/
TLSHT10371201F70956BDF2AA20AEC4C1660848E2C0A767510FCCD19CE2F39C476CB5A52DDCE
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