Result for 1EF3941248398152C3802F76FFD76756F7D687F9

Query result

Key Value
MD549B1198BB411D8B931D83CAD05C52953
PackageArchaarch64
PackageDescriptionThis package contains files needed for development with shogun. The Shogun Machine learning toolbox provides a wide range of unified and efficient Machine Learning (ML) methods. The toolbox seamlessly allows to easily combine multiple data representations, algorithm classes, and general purpose tools. This enables both rapid prototyping of data pipelines and extensibility in terms of new algorithms. We combine modern software architecture in C++ with both efficient low-level computing back-ends and cutting edge algorithm implementations to solve large-scale Machine Learning problems (yet) on single machines. One of Shogun's most exciting features is that you can use the toolbox through a unified interface from C++, Python(3), Octave, R, Java, Lua, etc. This not just means that we are independent of trends in computing languages, but it also lets you use Shogun as a vehicle to expose your algorithm to multiple communities. We use SWIG to enable bidirectional communication between C++ and target languages. Shogun runs under Linux/Unix, MacOS, Windows. Originally focusing on large-scale kernel methods and bioinformatics (for a list of scientific papers mentioning Shogun, see here), the toolbox saw massive extensions to other fields in recent years. It now offers features that span the whole space of Machine Learning methods, including many classical methods in classification, regression, dimensionality reduction, clustering, but also more advanced algorithm classes such as metric, multi-task, structured output, and online learning, as well as feature hashing, ensemble methods, and optimization, just to name a few. Shogun in addition contains a number of exclusive state-of-the art algorithms such as a wealth of efficient SVM implementations, Multiple Kernel Learning, kernel hypothesis testing, Krylov methods, etc. All algorithms are supported by a collection of general purpose methods for evaluation, parameter tuning, preprocessing, serialization & I/O, etc; the resulting combinatorial possibilities are huge. The wealth of ML open-source software allows us to offer bindings to other sophisticated libraries including: LibSVM, LibLinear, LibOCAS, libqp, VowpalWabbit, Tapkee, SLEP, GPML and more. Shogun got initiated in 1999 by Soeren Sonnenburg and Gunnar Raetsch (that's where the name ShoGun originates from). It is now developed by a larger team of authors, and would not have been possible without the patches and bug reports by various people. See contributions for a detailed list. Statistics on Shogun's development activity can be found on ohloh.
PackageMaintainerFedora Project
PackageNameshogun-devel
PackageRelease2.fc24
PackageVersion4.1.0
SHA-11EF3941248398152C3802F76FFD76756F7D687F9
SHA-2565174AB631D7B2DB302FCF21915BD69C9C231C47F89E878F25F934B7EDED4DDBB
hashlookup:children-total1029
hashlookup:trust50

Network graph view

Children (Total: 1029)

The searched file hash includes 1029 children files known and seen by metalookup. A sample is included below:

Key Value
FileName./usr/include/shogun/lib/computation/job/IndependentJob.h
FileSize1930
MD525BDC3740BFC328AE99F80E3DCE9BF3F
SHA-100491E87A5109C77EAD7DA66B9DA95B62E9BD392
SHA-2560501D73C83EE033CF61A99621067A4578C2A1579573079E837822F79B9F9CDF3
SSDEEP24:IU7JN7UWiNfJPN2NiNfsrPVk7eBgO5mEbKXwrjsa1341qDqda1bXhp3Navjhp39u:nncxl2qg9vCOEGKXw1EvdUZ90m5sMB
TLSHT15C412155E42DE1738CA138D8B74B0085DA1424AC3ABFE884778CE36134C8075736FC8E
Key Value
FileName./usr/include/shogun-4.1.0/shogun/mathematics/linalg/linop/LinearOperator.h
FileSize1526
MD5744C56E6282D35BBD9BB704D21F22327
SHA-1005E1F4192D7E0304817A87518BEFD757E7738A2
SHA-256F7891D483C0D437FCBA0664B5D64F90B3A03D1ED340D30180A10CD62203EB9A9
SSDEEP24:IU7JN7U+AP3NfJPNl7ebjwSZsEU96qavcPcZTQv/JsNd:nnBAP9xlwbjwSnU96Z0PclQ5sNd
TLSHT17E31615910A7C77380B723F8E268A18AB2604C1FFABFBCD02788B11078504E56373AE5
Key Value
FileName./usr/include/shogun-4.1.0/shogun/mathematics/linalg/linop/DenseMatrixOperator.h
FileSize2901
MD5161EF09DF2679518D32F8703E5D05F8B
SHA-10075FC456311B652CDF348D62B10A8A1829B82CE
SHA-256AF77A9DD12698AA946F8FD4A7D85095CB21B724BE381A15B62F9214CECE62EE7
SSDEEP48:nnWr9xcmO9+v8g8udjMxu+S5M23l5A4+4R1AhbbiboHslkd:nWr9xcmO9+98zDw3lWZA1s/Clkd
TLSHT1D35141D891EA8173892723FAE5E15581B478D47AE7FFAD85B45D1020B8804AA2738FF1
Key Value
FileName./usr/include/shogun-4.1.0/shogun/lib/DelimiterTokenizer.h
FileSize2992
MD54F52801AF1FD5296BB19B9F23D23689C
SHA-10129A9450036261800ADCE44AAF5E84CD636EE1A
SHA-256CED1D6201A8959A83E918389A0F948B47AFC702B030C7893E6A09359E599D4AD
SSDEEP48:nnDsfsCPxVYR4fU6eF7fmcPgbZ2V6vj1WNoGuRPFPaGrnKTptDKY:nSPxVYOfylgbZ2VS5WNCRdPagnKTptL
TLSHT12F51EFCC951D3732801215B1F9B3E1A26178863AF0F954D27449A5D0DC4EEDEC2A7AF3
Key Value
FileName./usr/include/shogun/mathematics/linalg/ratapprox/logdet/computation/job/RationalApproximationIndividualJob.h
FileSize2640
MD586F0FDD14C0885DCC41937DDC61C55E4
SHA-10140FD213A6E1BF57F555356988EA769A6D4CB2F
SHA-256814C879C361CF4F1FD4B94352273B56BAECE80DD48B54EDB72B0CEACB4EA2A8F
SSDEEP48:nncR9xcmO48l94UdECtRTdhTKGT3uPPpTtEZTwpH3izqjsVqd:ngxcmO395dE8RZhb0pS0pWVw
TLSHT1DE51427A04B4FB73442B63C672943180B23094DAFABB49456ADEE61078014E507AFCFB
Key Value
FileName./usr/share/doc/libshogun-dev/examples/converter_localitypreservingprojections.cpp
FileSize1315
MD564032EE2E3E6311E5B91C7CCE30A501D
SHA-1016332423884074ADD7263A6B186595BEA3EF640
SHA-2563085BBA984E8DC0215866ED155921499FDBC5FB5CEC67488D4D1E0B0F6A9B43A
SSDEEP24:IU7JN7UVD/nJNfJcmeNRNPNONyhuFAOKgxV2r35ILZ33Yl7NiAQnwurwEA7b:nnCDHxcmOfleTA1pe3oecurwEA7b
TLSHT1EF21332D9828D373DC6F32F59C3305C8E7D99EA071685836D90D42506CC1DDA75BAE44
Key Value
FileName./usr/include/shogun-4.1.0/shogun/lib/slep/slep_options.h
FileSize1852
MD5E4347F6DA10AC97D16D684FD27BEABC7
SHA-1017884681C3A6F5E9B6878BA86D5746D0574AC03
SHA-256057E9F412708AA18BDBDAD73F8C3563C1E7F3094E21462934941AD776933EE00
SSDEEP24:IU7JN7UISdNfJfutNfANfJ4k7eQOXbK+a3OyEFSqd0KpIBFbC41D446957guARVg:nnSxqQR4vXns1rVRyB4ZaSX92
TLSHT1E331865C196AD833E463D0E264631C81E0BB7763F70DAC48511CC958B8C9AC527EED10
Key Value
FileName./usr/include/shogun-4.1.0/shogun/kernel/CombinedKernel.h
FileSize11279
MD585CEED74EAF57D91DF3925B74CEEB041
SHA-101EE6E2433E66AEB9AB511E6E4B08BAD6590A4BA
SHA-2561C0924627BDB2D3B18F811CE7B0F8DACA0ABAFD7C15B74073A5FD7A0043BA812
SSDEEP192:ng1C4Lr8qFIkTxU+02UhF+qYfcrNhFclTOGkwICIZgREquZInHd17KGIgZ4qB2zn:ngg438qFIMU+02UhF+q+crN7wOGkwICm
TLSHT1393234FCA6DD7A23740201AE765C8284F6ACC971F6E44DA4C7A4FF203B850E9D335969
Key Value
FileName./usr/include/shogun-4.1.0/shogun/structure/IntronList.h
FileSize2089
MD55AEF60A0D0C2AB3DD36CE60D0373C5A2
SHA-102143B7E7BB78D2D6F01777DED4A3C2E7528A8C0
SHA-256DD2CA9D245EE3AB1294130B0F6E9E4AB7D38AF08EC61AF1EA6350499D3B0B736
SSDEEP48:nnOkzwRxVCwFYKO/JG/W52tvYq90tLA8P2bk:nOhxVC+YKUZqvz0tS4
TLSHT1BC411FD85C6A4363E59A73E532DE029DA2744021FBEA5C884861FC3477875F71337E98
Key Value
FileName./usr/include/shogun/ui/GUIPreprocessor.h
FileSize2112
MD58CA0640A6BB2956971D02D7741F918A8
SHA-1021A09C21E71E09C93F587DD9542BB246BA382CE
SHA-256C54289FACEFB783F40D7F2B816679E0106537D21835B3AA5E655E75EC9A30CAB
SSDEEP48:nnrvPkF9FC96xl6W12zEelf5O/Z7OuHxshwos+wSfNsi:nwF+8xlz12zrlBC7/HxstwSFsi
TLSHT11141BCADF23D9D1390A232E635533196BEEC9848B3644CB8C449E82C3FCA1D50635F87