| Key | Value |
|---|---|
| FileName | ./usr/bin/svm_classify |
| FileSize | 9804 |
| MD5 | C5BCDB87498F0DF8D2AB7C1B1269F166 |
| SHA-1 | 09DEA9FBE0BF0DB3647C69DECC8E1B555CD0072F |
| SHA-256 | 360E4BCA60AC66EC728F67DC8C765E72D418EF424ED91513B08A6A65F00D823F |
| SSDEEP | 192:18u+X8Ttzc9oX3Qgc24PDuKeT617pR/0Uhxd:18kc9agggamHR/7h |
| TLSH | T1C712E707FA8787BBC6AA0A388147631FA271D1148B26EB47F20C6F484F137C96F54725 |
| 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 | 27906 |
| MD5 | BA5BA903FF9885F31004B4F25B3B2D14 |
| 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 | 2B287A2720B553A1E282B8420B077FC183AD320D |
| SHA-256 | ABD822F1EF9718D02153A91C9D229BA7EA23260B449FCAFE4099BB1E9DE2D533 |