| Key | Value |
|---|---|
| FileSize | 42189026 |
| MD5 | 3F3B1BFA7F49B840282BD8B2D78FFE5D |
| 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 | 8623C6734576A4151FCB8A7F13CB723CABC22321 |
| SHA-256 | 5D4E6D925B392B5115BDA6959CD44F381A0FAF22C860F3651FCFECE032435BA7 |
| 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/share/doc/shogun-doc-en/copyright |
| FileSize | 10542 |
| MD5 | F89EA5A03CB5D1CE60708049B459C23C |
| SHA-1 | D06294BBB338294FB5F636AF98501A49A49BA2F1 |
| SHA-256 | 703B44201DA55FA1C4E1D8008E85FC14E3A0BCBA94089A2A5706761002E0886C |
| SSDEEP | 192:IctmSk3YrsyrsrjH3d3TENp7RvYrsyrsrjH3d3TENps1ujFlLfuU2HPXe6WnVFgs:PtmSBrsyrsnXFTEN4rsyrsnXFTENBFlh |
| TLSH | T12D22B996261847F63CE233F32D3A9D8C7206D85D762B4D56789CC26C131B26E99F20A9 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/debug/.build-id/a0/7701be3789f78932bf9bbfe4e1c45ac437ee1a.debug |
| FileSize | 44962794 |
| MD5 | 4D1340814A49F658F594FE0FEB4AB6B9 |
| SHA-1 | 2E166DC185956D7B482B48DFC23090F26269511A |
| SHA-256 | AC56C394BFC0AD41BECF527DA7C7855B18732F96699221286E990FE4F8770600 |
| SSDEEP | 786432:AOoNAHStO2fIpXfKl4EenCTtDmV4SFuuHko7W1dRvOhzAAptcgYahgi:cdhIpXfKl4VnC5JQuuHPcWhzPpGa6i |
| TLSH | T11FA7128F479CDE96D84B3C7456376A8849749D8E7048D8EEFE3E4A08DFC9CC2423A615 |
| Key | Value |
|---|---|
| FileName | ./usr/lib/debug/.build-id/44/db8354a4be1e4836f09a2595f43698fe2fdd70.debug |
| FileSize | 62354 |
| MD5 | 1E0B1CCB34664B165811CAC40D71BCF4 |
| SHA-1 | 37BA0A36EB67250CF39A5547A6EB576F3F2F77E9 |
| SHA-256 | BAAC984E54F937E6E3ADEE272DD7CBED4FE98DACB943142D8D8674B41CCD0B9B |
| SSDEEP | 768:iDGkTV00MWeWEcv/rPP1hgShOoXc3jkTG+SVfwHnDRFpVcT7SQlT1K3OVK3F:VkpMpcHNhkYH38Th1K+VKV |
| TLSH | T138537E53E36EFCA5C8C43DB93AB7172447A10D9E9419E6BEE8BC404187CE8D819767C2 |