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Shark-examples rpm build for : OpenSuSE. For other distributions click Shark-examples.

Name : Shark-examples
Version : 3.1.4 Vendor : obs://build_opensuse_org/science
Release : lp156.2.5 Date : 2024-05-13 12:24:36
Group : Development/Languages/C and C++ Source RPM : Shark-3.1.4-lp156.2.5.src.rpm
Size : 48.20 MB
Packager : https://www_suse_com/
Summary : Examples for SHARK C++ machine learning library
Description :
This package contains some examples to use SHARK.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/science:/machinelearning/15.6/x86_64

Content of RPM  Changelog  Provides Requires

Download
ftp.icm.edu.pl  Shark-examples-3.1.4-lp156.2.5.x86_64.rpm
     

Provides :
Shark-examples
Shark-examples(x86-64)

Requires :
libboost_filesystem.so.1.66.0()(64bit)
libboost_program_options.so.1.66.0()(64bit)
libboost_serialization.so.1.66.0()(64bit)
libboost_system.so.1.66.0()(64bit)
libc.so.6()(64bit)
libc.so.6(GLIBC_2.14)(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
libc.so.6(GLIBC_2.3.4)(64bit)
libc.so.6(GLIBC_2.34)(64bit)
libc.so.6(GLIBC_2.38)(64bit)
libc.so.6(GLIBC_2.4)(64bit)
libgcc_s.so.1()(64bit)
libgcc_s.so.1(GCC_3.0)(64bit)
libgcc_s.so.1(GCC_3.4)(64bit)
libgomp.so.1()(64bit)
libgomp.so.1(GOMP_1.0)(64bit)
libgomp.so.1(GOMP_4.0)(64bit)
libgomp.so.1(OMP_1.0)(64bit)
libm.so.6()(64bit)
libm.so.6(GLIBC_2.2.5)(64bit)
libm.so.6(GLIBC_2.27)(64bit)
libm.so.6(GLIBC_2.29)(64bit)
libopenblas_pthreads.so.0()(64bit)
libshark.so.0()(64bit)
libshark0 = 3.1.4
libstdc++.so.6()(64bit)
libstdc++.so.6(CXXABI_1.3)(64bit)
libstdc++.so.6(CXXABI_1.3.1)(64bit)
libstdc++.so.6(CXXABI_1.3.8)(64bit)
libstdc++.so.6(CXXABI_1.3.9)(64bit)
libstdc++.so.6(GLIBCXX_3.4)(64bit)
libstdc++.so.6(GLIBCXX_3.4.11)(64bit)
libstdc++.so.6(GLIBCXX_3.4.15)(64bit)
libstdc++.so.6(GLIBCXX_3.4.20)(64bit)
libstdc++.so.6(GLIBCXX_3.4.21)(64bit)
libstdc++.so.6(GLIBCXX_3.4.9)(64bit)
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/bin/AckleyES
/usr/bin/AdditiveEpsilonIndicatorMain
/usr/bin/Archive
/usr/bin/AutoencoderTutorial
/usr/bin/BinaryRBM
/usr/bin/CARTTutorial
/usr/bin/CMAExperiment
/usr/bin/CMAPlot
/usr/bin/CMASimple
/usr/bin/CSvmGridSearchTutorial
/usr/bin/CSvmLinear
/usr/bin/CSvmMaxLikelihoodMS
/usr/bin/CSvmTutorial
/usr/bin/CVFolds
/usr/bin/Datasets
/usr/bin/DeepNetworkTraining
/usr/bin/DeepNetworkTrainingRBM
/usr/bin/DenoisingAutoencoderTutorial
/usr/bin/ElitistCMASimpleMain
/usr/bin/FFNNBasicTutorial
/usr/bin/FFNNMultiClassCrossEntropy
/usr/bin/HierarchicalClustering
/usr/bin/KMeansTutorial
/usr/bin/KNNCrossValidationTutorial
/usr/bin/KNNTutorial
/usr/bin/KTA-tutorial
/usr/bin/KernelBudgetedSGDTutorial
/usr/bin/KernelLogisticRegression
/usr/bin/KernelRegression
/usr/bin/KernelSelection
There is 109 files more in these RPM.

  
ICM