| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_model.html |
| FileSize | 1922 |
| MD5 | 8242BEC416B827890218B0C20A5D2CBE |
| SHA-1 | 29F757F44490927215B60F208B18197C8836008E |
| SHA-256 | 7CFC2AC3AADD416184321A54DB9776D5ADCE22DFBB49ECB9FED1CE0BBBADB70B |
| SSDEEP | 48:/wG0hnICwSSRjWnWcgviZS4EZGKfggw45jGjHtItIyDGA2:/r0CSOjWnWcgKZSdGKfggwSjmevyA2 |
| TLSH | T168410D1FB095679F2AEA1BBC2D4790D58C6827322060CED92C1C6B39C862D64586D9DE |
| 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 | 28360 |
| MD5 | 8F842BEAFDAE492645C0312C76558E06 |
| 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 | 2AF830E332FFEAD3662854B636B116792FED17D7 |
| SHA-256 | FE587A8B11EC58A1DA38BD9FCBB62B975922BC2D36159ECAF886C20D6ECCA3C4 |