Key | Value |
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FileName | ./usr/share/man/man1/svm_classify.1.gz |
FileSize | 381 |
MD5 | 2978004CD4A24F9B1752D054E98A7256 |
SHA-1 | 8FC38B5452BFCBEC5BF914F97C60ACA668295061 |
SHA-256 | 3784D742EF873C739DB0D0F6CE6022E8FBA4E94F41E9EE1D7B70DE82CF25E482 |
SSDEEP | 6:XtFKCq1pO9vYwAtIRwfFYCVaNCa4WgXLKb44fD826KWxJvbZUYsh39dlAwDiH9A2:XyGvYTIRwfFxV24BWU4D8ff7bZUBh39+ |
TLSH | T1D6E061D60EF26252C16590E5590AD859CAAB51565B35110CD67B909920C545FA48C82D |
hashlookup:parent-total | 1 |
hashlookup:trust | 55 |
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 |
---|---|
FileSize | 24854 |
MD5 | 53F837944AFF716E7773406EC3AA8E51 |
PackageDescription | SVM 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. |
PackageMaintainer | Giulio Paci <giuliopaci@gmail.com> |
PackageName | tinysvm |
PackageSection | science |
PackageVersion | 0.09+dfsg-2 |
SHA-1 | D6EC1ABAC3F6C0E450F9CF455C766DB238AE78DF |
SHA-256 | 3B52D003B96724DECCA76F046781CDED76EF5EFB5CD7907DDB028E5E57E772C1 |