| Key | Value |
|---|---|
| FileName | ./usr/bin/svm_classify |
| FileSize | 10560 |
| MD5 | BB372BF94C421DDD63C2B03FB9C27942 |
| SHA-1 | 1FC9D62E4687C7BF94CE63179A50405CC473598C |
| SHA-256 | 3CCECA27BE3D4B982F7D06F916CD0DFD64E8C04A8F1DC648EE1E6BAD7FF045E3 |
| SSDEEP | 96:R0TNFoy+CTMEy0/zs+NgjpRMS0yvnfAnRRnr1vQp33m+8UZm41hmMSqjK0NONV:R0boybMEy+zs//hnfALryp9mYnS |
| TLSH | T1A822924BF691AF3FC84DC734849792356234D4488E25932B3B0CF5384E667984B2A9AB |
| 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 | 28360 |
| MD5 | 8F842BEAFDAE492645C0312C76558E06 |
| 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 | 2AF830E332FFEAD3662854B636B116792FED17D7 |
| SHA-256 | FE587A8B11EC58A1DA38BD9FCBB62B975922BC2D36159ECAF886C20D6ECCA3C4 |