| Key | Value |
|---|---|
| FileName | ./usr/bin/svm_model |
| FileSize | 9932 |
| MD5 | BD18FF285332636E7512EC73C3F014CE |
| SHA-1 | 1A4D94E96EEB6B7BEF3F90854B68732D5EA4F992 |
| SHA-256 | EADA23B32B16AE91C6D00E205644B96C74B79F773FA60B75BA8AE63ADA187642 |
| SSDEEP | 96:EKhqMN6rXBWBaDTSOH/PAwBX3Qa/cOZ9WMIOY55as/omHZP/neVzVg895Z12WGXc:EJrX8EfPAeX3QgcOZ93ubd7uzV5Z12 |
| TLSH | T16322630EFA12917BD898063D2097631EA773C819CA52CF83BB0C7A1A1F52B985F5D794 |
| 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 |