| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_learn.html |
| FileSize | 3807 |
| MD5 | 89537528642932123E5FB52BA94DA1F7 |
| SHA-1 | 33C0FC9148C267D4391CAF9D2F6748AB14F30EAA |
| SHA-256 | D7F84295B0F9A0CAA19027E3E83F672F2EEB2A8A921B7D0636C34A8C095639A5 |
| SSDEEP | 96:/v06CwjtJSOZ7UILSCz0rCItpYM90wJmj8XpY3WLX8wIpz98twSjmeyyb:/v7x9Z1WC0Cy1+iE85YGLswIpz98twmb |
| TLSH | T12971321B7295A7CF16A60AAC8C1660844F3C07767510FCC82DCE2F39C4A6C75622DDCE |
| 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 | 25106 |
| MD5 | FFF2FF64791D0E1D6DDC288831CE3A44 |
| 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 | 7AECB645AB3DC74E2C84A6683205A4463E14D2D3 |
| SHA-256 | 0BE6915D52EF4A1D93ED25AAE7FFD670D0CD34F0186EA5CD66F459B54FB57A15 |