| Key | Value |
|---|---|
| FileName | ./usr/lib/libsvm.so.3.21 |
| FileSize | 67608 |
| MD5 | BCFFB09D141D377276E23BF99D7FF6B6 |
| SHA-1 | 2B896D92851F8854C7962D2A5A086CD2DCA700B3 |
| SHA-256 | 3F59D860C66EABB0D08C82FC3BD7E98AE18AB7690AC3847C054499D2949840D5 |
| SSDEEP | 768:seKhuArPWclq7wp921Yt490tbHyOmCplhTVoi8MqxRo5+S/v6fGaaTqTSVGkk:m9ru4qKk24iYCplhTVjjQRo5+SGaThk |
| TLSH | T182635C47B69299BDC051853096FF66936B307C2552386B3B2244AB342D3BF946F17B32 |
| 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 | 41620 |
| MD5 | 647976B4D7ACB92CA6686DCBCFB44480 |
| 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 | 399A0F59E3E39B44406E3FA5421F27E79A5A5C24 |
| SHA-256 | 806202A9CFAAF88A2ACD204F735513F0A2C5069ACCEE3A8D842592124588F815 |