| Key | Value |
|---|---|
| FileName | ./usr/bin/svm_classify |
| FileSize | 11264 |
| MD5 | 6930B01BA956AD3EFD824F6CA8619CFE |
| SHA-1 | 707B1CF212DBF30092328D6725E25A01576E5369 |
| SHA-256 | 3D7FDA61C368005B46D712A6D9364D4525188344DA39A5FF2AF05D60CCC603DD |
| SSDEEP | 96:O81qIb9UBWBPwKqunK+Xd36+MJaXnqMBqW/QwMjvg5r/vsZ62n0QlDFht:O81NK8p5nKa6zJaT6j+G6 |
| TLSH | T1CC3283A7EB12EE3EC5D94E35445F87BA3338C809C3D6171B924C96B45F53B890E889C9 |
| 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 | 24886 |
| MD5 | 10CA665CD47B175E97B93A7DF99B7213 |
| 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 | 8E7372C40351033EB34F595BB8ED4F8A20E2F4B8 |
| SHA-256 | B5B6F03EBE90753FF1E26DD9FA6EAB644ACD7EEE755CFC2D3B0D9DFFFECC8931 |