| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/buildinfo_armel.gz |
| FileSize | 2530 |
| MD5 | 8927D4E74270350AAB8134734E7CCF7B |
| SHA-1 | 33FD865C3B8ED494843200B53B74083A9C20A9E6 |
| SHA-256 | A7149BFCCA0F90A31837550E3A33FDFFCD7B7D46DF33273EFB19D455534139FD |
| SSDEEP | 48:XTwk9CVg/4yX5IJ+q/wBmqTIs5zW71TUVXfhRP2xu6Sj8raa/x:jwksVaqJ+q/DyI8jV2QLQjp |
| TLSH | T18E511AB438FCCE1414A8E00844A6D91CD03BED0525C99A773FBEA50657298F0A2E4267 |
| 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 | 27780 |
| MD5 | C839194CF30C0270B52FA4FD737BA19D |
| 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 | 3186133DD82B26562A538D982228ED0E28879C75 |
| SHA-256 | 474DEF0A9B87E816FD62ADE9332EDF03A4EBA1400A34EADA6B76D9ABC7E32009 |