| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_classify.html |
| FileSize | 1384 |
| MD5 | A2A37C5513ADBBF3FE9C8DCAF04902EA |
| SHA-1 | 2E484D4BE530EA54109EB9B26D44AE417E685122 |
| SHA-256 | 9135C08594E93CA154F2127E3464756D15B79ED004117F999C119F938BD2B6A7 |
| SSDEEP | 24:/wGJ0RUCud2eunEZCmL1ar6SFrSlD24lVeX5Pw45lVVEjHLhIZvIy9VGJs2:/wCX0hnICubS1OjOtw45jGjHtItIyDGJ |
| TLSH | T15521112EE199AB2F26D66FAD5C829095CC28323134B08CCD39187B2C94A2478507CC9F |
| 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 | 27906 |
| MD5 | BA5BA903FF9885F31004B4F25B3B2D14 |
| 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 | 2B287A2720B553A1E282B8420B077FC183AD320D |
| SHA-256 | ABD822F1EF9718D02153A91C9D229BA7EA23260B449FCAFE4099BB1E9DE2D533 |