| Key | Value |
|---|---|
| FileName | ./usr/share/doc/tinysvm/html/svm_learn.html |
| FileSize | 3761 |
| MD5 | 67DAAA4D0E736BEB027F9B1A8D2CCE46 |
| SHA-1 | 0AFCAFF198027037E5A9B2E9CD91EA49DF587E74 |
| SHA-256 | F1A587E984E9B83F88AEFFA840B1FE27DAC1E1B088A9E3534B17D7C94480F157 |
| SSDEEP | 96:/z0CCQjtkSsfZSUIeSCQ0rCbtprM+0jJ3j80pYaWL08wI2z98twSjmeyyB2:/zdxefZI3CnCnwxVT80YHLFwI2z98twD |
| TLSH | T127712E1B70956BDF2AA20AEC4C1660848E2C0A767510ECCD19CE2F39C4B6CB5A52DDCE |
| 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 |