| Key | Value |
|---|---|
| FileName | ./usr/bin/svm_classify |
| FileSize | 9840 |
| MD5 | 283DF16F1C8B51A6FE4488293C21EE21 |
| SHA-1 | 72B595031E994D38E83115E2E32744C122F783D1 |
| SHA-256 | D5C4A2C642A8093597602B3261244F65247D56D2928E595ADFE1EE16452DF25C |
| SSDEEP | 96:uxtpwykOKgqr+wF0LfYVw4fp5Co2Y7KJLcJQHRnCYkZbrALYy:qXkO4r+BLQxfp5Co2tzxBkZX |
| TLSH | T1631294CAB6A7EA37D8E30377535F0F0B773AC180930A5F33620C94546F877A80666A54 |
| 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 |