Result for 2D2B64FA6F1521764222BD9656DE53DF29690CBB

Query result

Key Value
FileName./usr/share/doc/tinysvm/html/svm_model.html
FileSize1945
MD5FC17C4A7C36734DE65E31CDB4978DDE8
SHA-12D2B64FA6F1521764222BD9656DE53DF29690CBB
SHA-2564C17167672359B7CE70328A19A8D008ACC3DFD205D10DBDE5F868CBF1825E504
SSDEEP48:/ww0ZICwSwjWnWcgviZS4EZGKQggw45jGjHtItIyDGb:/X06SwjWnWcgKZSdGKQggwSjmevyb
TLSHT18541211FB19857DF19AA1BBC2D4790D58C5827316060CEC92C1C6B39C4A2D64686DDDE
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
FileSize25106
MD5FFF2FF64791D0E1D6DDC288831CE3A44
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-17AECB645AB3DC74E2C84A6683205A4463E14D2D3
SHA-2560BE6915D52EF4A1D93ED25AAE7FFD670D0CD34F0186EA5CD66F459B54FB57A15