| Key | Value |
|---|---|
| FileSize | 45431726 |
| MD5 | 0ED6225AED7C989752FABE2173A21F0F |
| PackageDescription | Large Scale Machine Learning Toolbox SHOGUN - is a new machine learning toolbox with focus on large scale kernel methods and especially on Support Vector Machines (SVM) with focus to bioinformatics. It provides a generic SVM object interfacing to several different SVM implementations. Each of the SVMs can be combined with a variety of the many kernels implemented. It can deal with weighted linear combination of a number of sub-kernels, each of which not necessarily working on the same domain, where an optimal sub-kernel weighting can be learned using Multiple Kernel Learning. Apart from SVM 2-class classification and regression problems, a number of linear methods like Linear Discriminant Analysis (LDA), Linear Programming Machine (LPM), (Kernel) Perceptrons and also algorithms to train hidden markov models are implemented. The input feature-objects can be dense, sparse or strings and of type int/short/double/char and can be converted into different feature types. Chains of preprocessors (e.g. substracting the mean) can be attached to each feature object allowing for on-the-fly pre-processing. . SHOGUN comes in different flavours, a stand-a-lone version and also with interfaces to Matlab(tm), R, Octave, Readline and Python. This package contains debug symbols for all interfaces. |
| PackageMaintainer | Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com> |
| PackageName | libshogun-dbg |
| PackageSection | debug |
| PackageVersion | 3.1.1-1 |
| SHA-1 | 16E4DBF9C8A8D4D7B3958C90AEA4BBECC45767D7 |
| SHA-256 | D545183889DBED381B2789BDFE2ED7E48974EBBA955C68E0B58CA5D4E4357F32 |
| hashlookup:children-total | 3 |
| hashlookup:trust | 50 |
The searched file hash includes 3 children files known and seen by metalookup. A sample is included below:
| Key | Value |
|---|---|
| FileName | ./usr/lib/debug/.build-id/1a/814446329694c508c85a4c864a77e731b89cf3.debug |
| FileSize | 48560230 |
| MD5 | F6918923E99006380204F430E794975B |
| SHA-1 | 2C63A05594E4D615CDA5639944E2FD6CC15FBF8A |
| SHA-256 | 48D3F384F344CB288593875B448CE8C9533F902FCB2B9FEA54F447FDA512D430 |
| SSDEEP | 786432:65Bs2HXXZJWpimrdRbqIsLynAWHVsIx2cG3u0Q8vAXBLx7hMK7HY6PyJQXsFrBpX:67DHX6p5XWz+nFHWIxhG+8vARLxyK747 |
| TLSH | T108B7228F5B9CDE96D84B7C75563B2A8849B49D4F3048C0EEFE3E4A04DFC94C2863A654 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/debug/.build-id/fc/eb6276247b94980b91547cd9953bf6ea8971fe.debug |
| FileSize | 70692 |
| MD5 | 07610A02BD932A26D99C67C1EFC047FE |
| SHA-1 | 9E8684B7FFBBD3567E94E59E49477FF795A76B1E |
| SHA-256 | 2024F63D0E8AEDA2605B8AF1D2DF0E55CF0A54CA868291A4BDF6A1F7FE99952B |
| SSDEEP | 1536:Y52ChvNQPq2HWhxX5cEM6LI9/aczeeKJNKa:Y5xvuPqE+LeVSeENx |
| TLSH | T1D2638D13A7AEEC86C8813D743AF7171446E38C7EA426D1BE9D7C81918ACADCD0D35786 |
| Key | Value |
|---|---|
| FileName | ./usr/share/doc/shogun-doc-en/copyright |
| FileSize | 10542 |
| MD5 | F89EA5A03CB5D1CE60708049B459C23C |
| SHA-1 | D06294BBB338294FB5F636AF98501A49A49BA2F1 |
| SHA-256 | 703B44201DA55FA1C4E1D8008E85FC14E3A0BCBA94089A2A5706761002E0886C |
| SSDEEP | 192:IctmSk3YrsyrsrjH3d3TENp7RvYrsyrsrjH3d3TENps1ujFlLfuU2HPXe6WnVFgs:PtmSBrsyrsnXFTEN4rsyrsnXFTENBFlh |
| TLSH | T12D22B996261847F63CE233F32D3A9D8C7206D85D762B4D56789CC26C131B26E99F20A9 |