| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_classify.html |
| FileSize | 1384 |
| MD5 | BBABF2672792BB6501ECF1401134FDCE |
| SHA-1 | 1AD02AF5E3983FAB5108339F9DFC7BAA7FD61F82 |
| SHA-256 | 0AFBEC8FF78A716F2EA8B5E68764E71D5E5B5AF5B990A5B548C5D484C2818855 |
| SSDEEP | 24:/wGJ0RUCud2eunEZCmL1ar6SFrSlD24lVeX5Pw45lVVEjHLhIZvIy9VGF2:/wCX0hnICubS1OjOtw45jGjHtItIyDGg |
| TLSH | T1B121112EB199AB2F26D66FAE5C829095CC28323534B08CCD39187B2C94A2478507CC9F |
| 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 | 27940 |
| MD5 | 268710102DA484C90FEDC79863F2821A |
| 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 | F83D90AC68AF2D69F985FB7E6564763C97ECB2D1 |
| SHA-256 | 57E418AD95BE87680A1EC81A96DF89F9B64B39817FF67308B18EEB3B09554BD1 |