| Key | Value |
|---|---|
| FileName | ./usr/bin/svm_classify |
| FileSize | 9832 |
| MD5 | 1F70A75270880681D4BABD6AEDA1EE3A |
| SHA-1 | 4A4BD036D5B987587D83F77F267DAE32D13BB18C |
| SHA-256 | F76B8E6098A9A365EF542E167223A7476CA739389A4311C5143F6A29B6FFDB26 |
| SSDEEP | 96:NjiC9IRlo8qo1cHC1u9wXm927TMGyd2lpUvKJLcJOrNXzboO7ersy:Fkloro1ci1umXy27mStzxXzl7 |
| TLSH | T198129386F959DB3BC0FA137253678F463237C96892973F23622C82143F9B3AC4516E44 |
| 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 |