Key | Value |
---|---|
FileName | ./usr/share/man/man1/svm_classify.1.gz |
FileSize | 383 |
MD5 | F274B6585A6AF4F3E7B6BAB69D52AA12 |
SHA-1 | 540DC17127A1783BDC2CF9B20144BDBA28A8465F |
SHA-256 | 3C6636FFDB4EF244EA8DBCD0C1D3209C7D83AF2A111D92B3287CA8628159E4FF |
SSDEEP | 6:XtvDL/62hbABV+dYtDQy+39jmOh4lCxl01CP9QK++yuY5dZQ8duy/dX1ln:X1/6WAB4dY9Qy+39jmiWH0P9Qp+05dn9 |
TLSH | T168E0603EA333432DAB42E28882CEB101647C0C7EA025688701808C1F880BCCFE0ED770 |
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 | 25106 |
MD5 | FFF2FF64791D0E1D6DDC288831CE3A44 |
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 | 7AECB645AB3DC74E2C84A6683205A4463E14D2D3 |
SHA-256 | 0BE6915D52EF4A1D93ED25AAE7FFD670D0CD34F0186EA5CD66F459B54FB57A15 |