| Key | Value |
|---|---|
| FileSize | 29124 |
| MD5 | B0B43ED9B5414BD480796C501C5F8BCD |
| PackageDescription | LIBSVM header files LIBSVM, a machine-learning library, is an easy-to-use package for support vector classification, regression and one-class SVM. It supports multi-class classification, probability outputs, and parameter selection. . This package contains the development header files. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | libsvm-dev |
| PackageSection | libdevel |
| PackageVersion | 3.21+ds-1.1 |
| SHA-1 | 49B983D38CC1688F7F03935EC005DF281E2B67E8 |
| SHA-256 | 8DFAC155C30DD19C1FC039BE05260B9F511B1ABF313E805E12FB753E8E8240B7 |
| hashlookup:children-total | 5 |
| hashlookup:trust | 50 |
The searched file hash includes 5 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-dev/examples/svm-predict.c.gz |
| FileSize | 2152 |
| MD5 | CB6E245ED52F658636F82E3F1385434B |
| SHA-1 | 294EC60FA33BC99DF50C6EE9A60F9AE31CDFA081 |
| SHA-256 | B1E13290F15A53C990BA91E5583C6EAC778BAEDAFD3AE5499C94BA4DE17EBD23 |
| SSDEEP | 48:XUPGjA93SThWgJhOrXjPbDWqnWRx3aQ4VOZ8JobH:qGAFLgJWbDERR+PJC |
| TLSH | T156413C33B9F74F457360008CE5BD4AAF661BB5BA44E06C30C3916D0BB88B3D64903825 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-tools/FAQ.html |
| FileSize | 83089 |
| MD5 | 74EBCAC095555B66BB42E331AFA72DBD |
| SHA-1 | CD6A294DA2C3210ED01C3BB5396C2796D23CD99D |
| SHA-256 | CDC6D97FAC7C6F3B841DFDA5ADAFB4E8A47FCE39886344D2B5B0AA6E8BC4BEB1 |
| SSDEEP | 1536:U5SxA1WJUxg5Yskopincm3xM+0YAFuAaEAE:UwxA1WJUxKYskEyL0YCuApAE |
| TLSH | T1F6830A37D9816E3B421362A59A0E75F87F0640FDA3262A11B47C40173B51F68AF3EBD9 |
| Key | Value |
|---|---|
| FileName | ./usr/include/libsvm/svm.h |
| FileSize | 3382 |
| MD5 | FD2E1A087416C1DD5548BD95B47F830A |
| SHA-1 | C7FE36200E365A051A70B645CB0C8AF86BEDAE5D |
| SHA-256 | 040BA088BEB5C074ABF0202822478D99F3B3E01245AA0697231323FC5DF99D2E |
| SSDEEP | 48:4Sx7xD61RCpbo7SKU0c5jr9sx8EETxp0ZXeLfUHu:4SxSYpE7hNuo8JUXeLfKu |
| TLSH | T12E61D02CB07ABC96E19E5EF2F2950C45A29861F23057ECA8CD5DE7780C8223851F496D |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/libsvm-dev/examples/svm-train.c.gz |
| FileSize | 3157 |
| MD5 | CD956841DD4C2FFC2AF63CC88D70E3B9 |
| SHA-1 | 1EEB49E41B4DA521C741E82019327DC971E914E2 |
| SHA-256 | D51405862BA5D5D4A9BD295BCD8302DA0C74FFCE9726804CA72D6BC70E067F6C |
| SSDEEP | 48:XHSD7jrh3FoCUChPYItke/OgUvqO2Kzd3Esp4i6WFWu7HiZ7hC+OQK0fpcSQxWo:e7jrXo7APYInHUvXpz9p4iOs+OQKfSxo |
| TLSH | T1E5514D80632191EB3B5CF18389B5712190434E45C63284CD49EDE5CEBCB4A2FADA619E |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/python-libsvm/copyright |
| FileSize | 2022 |
| MD5 | 2134FCE5AC9590F41EF300E90F35FD63 |
| SHA-1 | 31CE29CB5747DC88B548E0820BB60BD6AAE70CC5 |
| SHA-256 | 643A55587B6DFF78E84339A3FBE3F9CB17858CB6F6BD682CB057D3D493F9CB30 |
| SSDEEP | 48:cBbG5OorYJ2rYJpBP4A2r437v32scMEtu33tYTHv:GGsorYJ2rYJpV53z3jp2P |
| TLSH | T12A41B80729880FE319D1178179BFA5D5B29EA03D7B339E056CFEE1049B3741FA4B6011 |