| Key | Value |
|---|---|
| FileName | ./usr/share/man/man1/svm_model.1.gz |
| FileSize | 563 |
| MD5 | BC4DA08DE96FC6310157B7CC3DF7B47F |
| SHA-1 | 52FB482EC8D04D8910307C626182E903C26D776B |
| SHA-256 | B6D3D16AE26D59634547C144B218E2E89B36409A5F365EE2B73D361927D2B1FF |
| SSDEEP | 12:X/Dzkrxa/vVJ5o+c9zOzZtJfUFX0G3U3CBVOpx:XHkrxa/vX2+c9yThqX0UVM |
| TLSH | T16DF041228A0FD3E4C95E406810DF4A7A443D20FB5187944E2F3EE5A1A9BE4412255940 |
| 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 | 24854 |
| MD5 | 53F837944AFF716E7773406EC3AA8E51 |
| 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 | D6EC1ABAC3F6C0E450F9CF455C766DB238AE78DF |
| SHA-256 | 3B52D003B96724DECCA76F046781CDED76EF5EFB5CD7907DDB028E5E57E772C1 |