| Key | Value |
|---|---|
| FileName | ./usr/lib/libsvm.so.3.21 |
| FileSize | 133168 |
| MD5 | C9164D817CD24BED87BC0D8AA74A1D0D |
| SHA-1 | 178D2E9F9489330E06212C8C7EE1CE1B96AADBD8 |
| SHA-256 | 8917AA7FE0A7826D33B6CE8182E4BC365C1D728EE4721B74CFC9797381AA104E |
| SSDEEP | 768:GiebgArHzHXNMKrVy9LcpWB3nhmE2xFRFWL0eSw59YWvZzm083oKmelwwNp8iqvB:mb3rTjAXYpxBre1XYn0HwHIvqg/4 |
| TLSH | T1F5D32A12369D9B97EF41543A87DD596572723C0B03780B97BA04036F3E99F2ECB1398A |
| 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 | 44488 |
| MD5 | F483BAADB2F34D282DF11C20650E4512 |
| PackageDescription | library implementing support vector machines The LIBSVM library is used to calculate Support Vector Machine optimizations with a great variety of powerful options. It includes one-class, two-class, multiclass, regression-mode, and probablistic output functionality. It is primarily of interest to machine-learning researchers and artificial intelligence application developers. |
| PackageMaintainer | Chen-Tse Tsai <ctse.tsai@gmail.com> |
| PackageName | libsvm3 |
| PackageSection | libs |
| PackageVersion | 3.21+ds-1.2 |
| SHA-1 | 28025BECD4A9BE897A864C72C298CC5099206A4C |
| SHA-256 | F8B416BEA8F597D8B4055351CBC0EBAF711CD0136578180805538BC61687D29B |