Content of RPM Shark-examples-3.1.4-bp153.2.13.x86_64.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
/usr/bin/LDATutorial
/usr/bin/LassoRegression
/usr/bin/MOCMAExperiment
/usr/bin/MOCMASimple
/usr/bin/MaxLogLikelihoodTutorial
/usr/bin/McSvm
/usr/bin/McSvmLinear
/usr/bin/MklKernelTutorial
/usr/bin/MultiTaskSvm
/usr/bin/Normalization
/usr/bin/OneClassSvm
/usr/bin/OneVersusOne
/usr/bin/PCA
/usr/bin/PCATutorial
/usr/bin/RFTutorial
/usr/bin/SparseAETutorial
/usr/bin/Statistics
/usr/bin/StoppingCriteriaTutorial
/usr/bin/SubrangeKernelTutorial
/usr/bin/Subsets
/usr/bin/TSP
/usr/bin/VersatileClassificationTutorial-LDA
/usr/bin/VersatileClassificationTutorial-NN
/usr/bin/VersatileClassificationTutorial-Network
/usr/bin/VersatileClassificationTutorial-RF
/usr/bin/VersatileClassificationTutorial-SVM
/usr/bin/elmTutorial
/usr/bin/linearRegressionTutorial
/usr/bin/quickstartTutorial
/usr/bin/regressionTutorial
/usr/share/shark
/usr/share/shark/examples
/usr/share/shark/examples/Data
/usr/share/shark/examples/Data/Datasets.cpp
/usr/share/shark/examples/Data/Normalization.cpp
/usr/share/shark/examples/Data/Subsets.cpp
/usr/share/shark/examples/EA
/usr/share/shark/examples/EA/MOO
/usr/share/shark/examples/EA/MOO/AdditiveEpsilonIndicatorMain.cpp
/usr/share/shark/examples/EA/MOO/MOCMAExperiment.cpp
/usr/share/shark/examples/EA/MOO/MOCMASimple.cpp
/usr/share/shark/examples/EA/SOO
/usr/share/shark/examples/EA/SOO/AckleyES.cpp
/usr/share/shark/examples/EA/SOO/Archive.cpp
/usr/share/shark/examples/EA/SOO/CMAExperiment.cpp
/usr/share/shark/examples/EA/SOO/CMAPlot.cpp
/usr/share/shark/examples/EA/SOO/CMASimple.cpp
/usr/share/shark/examples/EA/SOO/ElitistCMASimple.cpp
/usr/share/shark/examples/EA/SOO/TSP.cpp
/usr/share/shark/examples/Statistiscs
/usr/share/shark/examples/Statistiscs/Statistics.cpp
/usr/share/shark/examples/Supervised
/usr/share/shark/examples/Supervised/CARTTutorial.cpp
/usr/share/shark/examples/Supervised/CSvmGridSearchTutorial.cpp
/usr/share/shark/examples/Supervised/CSvmLinear.cpp
/usr/share/shark/examples/Supervised/CSvmMaxLikelihoodMS.cpp
/usr/share/shark/examples/Supervised/CSvmTutorial.cpp
/usr/share/shark/examples/Supervised/CVFolds.cpp
/usr/share/shark/examples/Supervised/DeepNetworkTraining.cpp
/usr/share/shark/examples/Supervised/DeepNetworkTrainingRBM.cpp
/usr/share/shark/examples/Supervised/FFNNBasicTutorial.cpp
/usr/share/shark/examples/Supervised/FFNNMultiClassCrossEntropy.cpp
/usr/share/shark/examples/Supervised/KNNCrossValidationTutorial.cpp
/usr/share/shark/examples/Supervised/KNNTutorial.cpp
/usr/share/shark/examples/Supervised/KTA-tutorial.cpp
/usr/share/shark/examples/Supervised/KernelBudgetedSGDTutorial.cpp
/usr/share/shark/examples/Supervised/KernelLogisticRegression.cpp
/usr/share/shark/examples/Supervised/KernelRegression.cpp
/usr/share/shark/examples/Supervised/KernelSelection.cpp
/usr/share/shark/examples/Supervised/LDATutorial.cpp
/usr/share/shark/examples/Supervised/LassoRegression.cpp
/usr/share/shark/examples/Supervised/McSvm.cpp
/usr/share/shark/examples/Supervised/McSvmLinear.cpp
/usr/share/shark/examples/Supervised/MklKernelTutorial.cpp
/usr/share/shark/examples/Supervised/MultiTaskSvm.cpp
/usr/share/shark/examples/Supervised/OneVersusOne.cpp
/usr/share/shark/examples/Supervised/RFTutorial.cpp
/usr/share/shark/examples/Supervised/StoppingCriteria.cpp
/usr/share/shark/examples/Supervised/SubrangeKernelTutorial.cpp
/usr/share/shark/examples/Supervised/VersatileClassificationTutorial-LDA.cpp
/usr/share/shark/examples/Supervised/VersatileClassificationTutorial-NN.cpp
/usr/share/shark/examples/Supervised/VersatileClassificationTutorial-Network.cpp
/usr/share/shark/examples/Supervised/VersatileClassificationTutorial-RF.cpp
/usr/share/shark/examples/Supervised/VersatileClassificationTutorial-SVM.cpp
/usr/share/shark/examples/Supervised/data
/usr/share/shark/examples/Supervised/data/C.csv
/usr/share/shark/examples/Supervised/data/diabetes.csv
/usr/share/shark/examples/Supervised/data/mnist_subset.zip
/usr/share/shark/examples/Supervised/data/quickstartData.csv
/usr/share/shark/examples/Supervised/data/regressionInputs.csv
/usr/share/shark/examples/Supervised/data/regressionLabels.csv
/usr/share/shark/examples/Supervised/elmTutorial.cpp
/usr/share/shark/examples/Supervised/linearRegressionTutorial.cpp
/usr/share/shark/examples/Supervised/quickstartTutorial.cpp
/usr/share/shark/examples/Supervised/regressionTutorial.cpp
/usr/share/shark/examples/Unsupervised
/usr/share/shark/examples/Unsupervised/AutoEncoderTutorial.cpp
/usr/share/shark/examples/Unsupervised/BinaryRBM.cpp
/usr/share/shark/examples/Unsupervised/DenoisingAutoencoderTutorial.cpp
/usr/share/shark/examples/Unsupervised/HierarchicalClustering.cpp
/usr/share/shark/examples/Unsupervised/KMeansTutorial.cpp
/usr/share/shark/examples/Unsupervised/MaxLogLikelihood.cpp
/usr/share/shark/examples/Unsupervised/OneClassSvm.cpp
/usr/share/shark/examples/Unsupervised/PCA.cpp
/usr/share/shark/examples/Unsupervised/PCATutorial.cpp
/usr/share/shark/examples/Unsupervised/SparseAETutorial.cpp
/usr/share/shark/examples/Unsupervised/data
/usr/share/shark/examples/Unsupervised/data/faithful.csv
/usr/share/shark/examples/Unsupervised/data/images.csv