| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_classify.html |
| FileSize | 1384 |
| MD5 | 1DCB47A065E62D60272E74EB9461B365 |
| SHA-1 | 2F57A47F3055ACE059C69B0F1ED93E37ACAAEC04 |
| SHA-256 | 73CC7AAD66BF3B87EF33BB20947F99C0D5AE77F6ED7637981777BF9729484C1E |
| SSDEEP | 24:/wGJ0RUCud2eunEZCmL1ar6SFrSlD24lVeX5Pw45lVVEjHLhIZvIy9VGaFi2:/wCX0hnICubS1OjOtw45jGjHtItIyDGE |
| TLSH | T1FB21141EE195AB5F26D65FAD5C829095CC28323134B48CCD39187B2C94A3474507CC9F |
| 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 | 27780 |
| MD5 | C839194CF30C0270B52FA4FD737BA19D |
| 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 | 3186133DD82B26562A538D982228ED0E28879C75 |
| SHA-256 | 474DEF0A9B87E816FD62ADE9332EDF03A4EBA1400A34EADA6B76D9ABC7E32009 |