Key | Value |
---|---|
FileName | ./usr/lib/libtinysvm.so.1.2.0 |
FileSize | 76440 |
MD5 | 49F52774A90A58EC62462E4070BC891A |
SHA-1 | 89046C6999BDD7150B09BE1CE92CA856CA18325E |
SHA-256 | 41EBC4A11473D2E1B9894DDCF0CA695C33D5D2391DE2E08F8BF1B43F0FEC23FD |
SSDEEP | 1536:TOnBab1g444hDEvX+k7BQ4KYSDDdkKXHo:TUabu28XBW4b8 |
TLSH | T12B73F88BBB04C59FC0783D71928F53B6A3372A202799280DB7CDDF2A5FFA6614915532 |
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 | 36958 |
MD5 | F9B35579A310BC8A4301A1136D9C1681 |
PackageDescription | SVM trainer and classifier toolkit - runtime library 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 contains the TinySVM runtime library. |
PackageMaintainer | Giulio Paci <giuliopaci@gmail.com> |
PackageName | libtinysvm1 |
PackageSection | libdevel |
PackageVersion | 0.09+dfsg-2 |
SHA-1 | 226A8DFD3ED0210D66C234AA214ABE19F1983846 |
SHA-256 | B9D0050E31143EBF2C703EA8B4396530C77CAD9ADC93D8ABC0848F52E251E9F0 |