| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_learn.html |
| FileSize | 3803 |
| MD5 | BD2DC17D36BFC116D9C3A780F2E2F01E |
| SHA-1 | 2CD111E2A8DA43966C9C8F47683262E2069DE871 |
| SHA-256 | 4D746867A646500EFECCB6EA38213C0AEE01A492C84D564F9A31D24E9A820CC5 |
| SSDEEP | 96:/v0JOCwjtJSOZ7UILSCz0rCItpYM90wJmj8XpY3WLX8wIpz98twSjmeyym:/vMOx9Z1WC0Cy1+iE85YGLswIpz98twz |
| TLSH | T1A571331B7295ABDF16A60AAC8C5660804F3C07767510FCC82DCE2F39C4A6C75622DDCE |
| 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 | 24886 |
| MD5 | 10CA665CD47B175E97B93A7DF99B7213 |
| 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 | 8E7372C40351033EB34F595BB8ED4F8A20E2F4B8 |
| SHA-256 | B5B6F03EBE90753FF1E26DD9FA6EAB644ACD7EEE755CFC2D3B0D9DFFFECC8931 |