SHARK is a fast, modular, feature-rich open-source C++ machine learning library. It provides methods for linear and nonlinear optimization, kernel-based learning algorithms, neural networks, and various other machine learning techniques (see the feature list below). It serves as a powerful toolbox for real world applications as well as research. Shark depends on Boost and CMake. It is compatible with Windows, Solaris, MacOS X, and Linux. Shark is licensed under the permissive GNU Lesser General Public License.

Shark-3.0.0
...........\.gitignore
...........\CMakeLists.txt
...........\COPYING
...........\COPYING.LESSER
...........\CTestConfig.cmake
...........\README.txt
...........\SharkConfig.cmake.in
...........\SharkConfigVersion.cmake.in
...........\Test
...........\....\Algorithms
...........\....\..........\DirectSearch
...........\....\..........\............\CMA.cpp
...........\....\..........\............\CMSA.cpp
...........\....\..........\............\ElitistCMA.cpp
...........\....\..........\............\FastNonDominatedSort.cpp
...........\....\..........\............\Indicators
...........\....\..........\............\..........\HypervolumeIndicator.cpp
...........\....\..........\............\MOCMA.cpp
...........\....\..........\............\Operators
...........\....\..........\............\.........\Mutation
...........\....\..........\............\.........\........\BitflipMutation.cpp
...........\....\..........\............\.........\PenalizingEvaluator.cpp
...........\....\..........\............\.........\Selection
...........\....\..........\............\.........\.........\IndicatorBasedSelection.cpp
...........\....\..........\............\.........\.........\Selection.cpp
...........\....\..........\............\ParetoDominanceComparator.cpp
...........\....\..........\............\RealCodedNSGAII.cpp
...........\....\..........\............\SimplexDownhill.cpp
...........\....\..........\............\SteadyStateMOCMA.cpp
...........\....\..........\............\VDCMA.cpp
...........\....\..........\GradientDescent
...........\....\..........\...............\BFGS.cpp
...........\....\..........\...............\CG.cpp
...........\....\..........\...............\LBFGS.cpp
...........\....\..........\...............\LineSearch.cpp
...........\....\..........\...............\NoisyRprop.cpp
...........\....\..........\...............\Rprop.cpp
...........\....\..........\...............\SteepestDescent.cpp
...........\....\..........\...............\TrustRegionNewton.cpp
...........\....\..........\GridSearch.cpp
...........\....\..........\Hypervolume.cpp
...........\....\..........\JaakkolaHeuristic.cpp
...........\....\..........\KMeans.cpp
...........\....\..........\LP
...........\....\..........\..\LinearProgram.cpp
...........\....\..........\Trainers
...........\....\..........\........\Budgeted
...........\....\..........\........\........\AbstractBudgetMaintenanceStrategy_Test.cpp
...........\....\..........\........\........\KernelBudgetedSGDTrainer_Test.cpp
...........\....\..........\........\........\MergeBudgetMaintenanceStrategy_Test.cpp
...........\....\..........\........\........\RemoveBudgetMaintenanceStrategy_Test.cpp
...........\....\..........\........\CSvmTrainer.cpp
...........\....\..........\........\EpsilonSvmTrainer.cpp
...........\....\..........\........\FisherLDA.cpp
...........\....\..........\........\KernelMeanClassifier.cpp
...........\....\..........\........\KernelNormalization.cpp
...........\....\..........\........\LDA.cpp
...........\....\..........\........\LinearRegression.cpp
...........\....\..........\........\LinearSvmTrainer.cpp
...........\....\..........\........\McSvmTrainer.cpp
...........\....\..........\........\MissingFeatureSvmTrainerTests.cpp
...........\....\..........\........\NBClassifierTrainerTests.cpp
...........\....\..........\........\Normalization.cpp
...........\....\..........\........\OneClassSvmTrainer.cpp
...........\....\..........\........\PCA.cpp
...........\....\..........\........\Perceptron.cpp
...........\....\..........\........\RegularizationNetworkTrainer.cpp
...........\....\..........\........\SigmoidFit.cpp
...........\....\..........\nearestneighbors.cpp
...........\....\..........\testFunction.h
...........\....\CMakeLists.txt
...........\....\Core
...........\....\....\Iterators.cpp
...........\....\....\Math.cpp
...........\....\....\ScopedHandleTests.cpp
...........\....\Data
...........\....\....\Bootstrap.cpp
...........\....\....\CVDatasetTools.cpp
...........\....\....\Csv.cpp
...........\....\....\DataView

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