| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_model.html |
| FileSize | 1922 |
| MD5 | 632715697CC4FE3FC43F286924B4F2B0 |
| SHA-1 | 5965948A81FD170566535995C66122ECE2999EEB |
| SHA-256 | 2A64C033739258EA267485377382416DC5D2E38A4E11693F764C0C42756D7999 |
| SSDEEP | 48:/wG0hnICwSSRjWnWcgviZS4EZGKfggw45jGjHtItIyDGl2:/r0CSOjWnWcgKZSdGKfggwSjmevyl2 |
| TLSH | T17B412D1FB094679F2AEA1BBC2C4780D58C6827322060CED92C0C6B39C862D74586C8DE |
| 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 |