- Category:
- AI-NN-PR
- Tags:
-
[C/C++]
[源码]
- File Size:
- 14.09mb
- Update:
- 2016-09-21
- Downloads:
- 0 Times
- Uploaded by:
- 陈进
Description: 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.
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File list (Check if you may need any files):
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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