| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_classify.html |
| FileSize | 1384 |
| MD5 | 6859D3B6B606A72A1F8D28733E447714 |
| SHA-1 | 3DAAA7BEF5ACB3451B2461B2EAF2FCAD888B1760 |
| SHA-256 | 1ED4853379B0E1C12CF7AD0590A540EDFC86AC1F3CDDFDD06A96310B66548AC3 |
| SSDEEP | 24:/wGJ0RUCud2eunEZCmL1ar6SFrSlD24lVeX5Pw45lVVEjHLhIZvIy9VGl2:/wCX0hnICubS1OjOtw45jGjHtItIyDGA |
| TLSH | T10521112EA199AB2F26D66FAE5C829095CC28323134B08CCD39187B2C94A3478507CC9F |
| 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 | 27618 |
| MD5 | CD5303E5A9BA9584E6B0D84A881C127D |
| 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 | 724D322D3340CCAA25EACC9B614AC544850223E2 |
| SHA-256 | 655361AE60510CBBE27C58A639CF0551DFF670BCDEFE60842682DCE3D9FC9E7C |