| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_learn.html |
| FileSize | 3761 |
| MD5 | 3DE0AAF8647B3937726E7A399F44D824 |
| SHA-1 | 24AD85D84F80983E51516E00585BC3ED404265AE |
| SHA-256 | 84385F3544AA93F0D22F86187060E6528A8A59980ED466EE6D7AD2B083738703 |
| SSDEEP | 96:/z0CCQjtkSsfZSUIeSCQ0rCbtprM+0jJ3j80pYaWL08wI2z98twSjmeyyA2:/zdxefZI3CnCnwxVT80YHLFwI2z98twQ |
| TLSH | T111712F1F70956BDF2AA20AEC4C1660848E2C0A767510FCCD19CE6F39C4B6CB5A52DDCE |
| 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 |