287 lines
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HTML
287 lines
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<li><a href="functions_func_p.html#index_p"><span>p</span></a></li>
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<li><a href="functions_func_t.html#index_t"><span>t</span></a></li>
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<li><a href="functions_func_u.html#index_u"><span>u</span></a></li>
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<li><a href="functions_func_x.html#index_x"><span>x</span></a></li>
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<li><a href="functions_func_z.html#index_z"><span>z</span></a></li>
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<li><a href="functions_func_0x7e.html#index_0x7e"><span>~</span></a></li>
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</ul>
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<div class="contents">
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<h3><a class="anchor" id="index_e"></a>- e -</h3><ul>
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<li>EdgePair()
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: <a class="el" href="classmlpack_1_1emst_1_1EdgePair.html#ac5a7ffc244035a7b242462e98aa34444">mlpack::emst::EdgePair</a>
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</li>
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<li>Edges()
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: <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#aadcddf90566653aa8029399a9eff43be">mlpack::optimization::LovaszThetaSDP</a>
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</li>
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<li>EffectiveError()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#aaf5280eb5e6feaa304dd7bf77badef73">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></a>
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</li>
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<li>EigenvalueRatioConstraint()
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: <a class="el" href="classmlpack_1_1gmm_1_1EigenvalueRatioConstraint.html#a945a78deed68fd4488455816ab163643">mlpack::gmm::EigenvalueRatioConstraint</a>
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</li>
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<li>ElkanKMeans()
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: <a class="el" href="classmlpack_1_1kmeans_1_1ElkanKMeans.html#ad180c261f75659c4b1c725067c76a7da">mlpack::kmeans::ElkanKMeans< MetricType, MatType ></a>
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</li>
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<li>ELU()
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: <a class="el" href="classmlpack_1_1ann_1_1ELU.html#af6cb37ecdeb7173902d8fd118f91c11b">mlpack::ann::ELU< InputDataType, OutputDataType ></a>
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</li>
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<li>EMFit()
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: <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#a629f0c991f79d2baa3fb09c49ba3834f">mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy ></a>
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</li>
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<li>Emission()
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: <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#ae61af6d903e3e47357b56ee130bc4b9d">mlpack::hmm::HMM< Distribution ></a>
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</li>
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<li>EmitResults()
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: <a class="el" href="classmlpack_1_1emst_1_1DualTreeBoruvka.html#a3ed2614667d4a8b0097be4ef6d74d085">mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType ></a>
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</li>
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<li>EmptyCluster()
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: <a class="el" href="classmlpack_1_1kmeans_1_1AllowEmptyClusters.html#aecc9a2c9af3720584d1ae3f272fb4692">mlpack::kmeans::AllowEmptyClusters</a>
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, <a class="el" href="classmlpack_1_1kmeans_1_1KillEmptyClusters.html#a84fcee6efcec8c09c4bec3cf1148c94b">mlpack::kmeans::KillEmptyClusters</a>
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, <a class="el" href="classmlpack_1_1kmeans_1_1MaxVarianceNewCluster.html#ab7c4d0e064929e75c1731d44c950ae1a">mlpack::kmeans::MaxVarianceNewCluster</a>
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</li>
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<li>EmptyClusterAction()
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: <a class="el" href="classmlpack_1_1kmeans_1_1KMeans.html#afd1af6204831b30517f590287ec36ef9">mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType ></a>
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</li>
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<li>EmptyStatistic()
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: <a class="el" href="classmlpack_1_1tree_1_1EmptyStatistic.html#a9dc99106bb7a3a73c8ebb22bc01e5a55">mlpack::tree::EmptyStatistic</a>
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</li>
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<li>Encode()
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: <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#a3f970678a35eb42195b423fd2e365736">mlpack::lcc::LocalCoordinateCoding</a>
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, <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a1a83718fbf6b44326e9309775ec5bd93">mlpack::sparse_coding::SparseCoding</a>
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</li>
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<li>End()
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: <a class="el" href="classmlpack_1_1det_1_1DTree.html#afe5df412c86791cf25b3240b86d8410b">mlpack::det::DTree< MatType, TagType ></a>
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</li>
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<li>EpanechnikovKernel()
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: <a class="el" href="classmlpack_1_1kernel_1_1EpanechnikovKernel.html#a4b00b7576beafba34b0124b191a0f6ea">mlpack::kernel::EpanechnikovKernel</a>
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</li>
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<li>Epsilon()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#a64caddda792ac15e85bfc1c1a1995163">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#a4e92754cadc1813a9bb84d9355680101">mlpack::neighbor::NSModel< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#ab0e90a059982337e72c439c90c0ccd96">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1Adam.html#a71178e9a83c6a2bfebd29037cf9a377b">mlpack::optimization::Adam< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#aff6492e03f309f398cec4ac01636b9c4">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1pca_1_1QUICSVDPolicy.html#a24d41ae5fdedc45753819436bdaabd1e">mlpack::pca::QUICSVDPolicy</a>
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, <a class="el" href="classmlpack_1_1svd_1_1RandomizedSVD.html#afec19c9ed1b260e5892c5595242844c8">mlpack::svd::RandomizedSVD</a>
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</li>
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<li>Err()
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: <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6d00806e36cabaaf4747773fe605ba11">mlpack::distribution::RegressionDistribution</a>
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</li>
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<li>Estimate()
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: <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a4049953f22414dc7346e63dba1dc2a7f">mlpack::distribution::LaplaceDistribution</a>
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, <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#a866986fd0df110ec1b32d25d71ac6a23">mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy ></a>
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, <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#aaf771c62844f8f3b62ce3dde31b6106d">mlpack::hmm::HMM< Distribution ></a>
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, <a class="el" href="classmlpack_1_1hmm_1_1HMMRegression.html#a04bdac3f5b6616b578130535263d8b91">mlpack::hmm::HMMRegression</a>
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</li>
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<li>EstimateRadius()
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: <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#af0bf781763e805cdc361e38fc536b0db">mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType ></a>
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</li>
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<li>Evaluate()
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: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#ad9895fbe59fa742793b1ef30eeb516be">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a4998a414624de0d2985280d7abfaf3d9">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1kernel_1_1CosineDistance.html#ad317e3f97456618ae1c7d92e3120ac13">mlpack::kernel::CosineDistance</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1EpanechnikovKernel.html#a4fe76eccfddd4d0aefd3330f80e80ffc">mlpack::kernel::EpanechnikovKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1ExampleKernel.html#ab6493b82672c90274e9c0acc1340bf8f">mlpack::kernel::ExampleKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#a574ef2113ec8ac965df031eee219dd73">mlpack::kernel::GaussianKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1HyperbolicTangentKernel.html#a98757405d0e08bef9d0f32a61a9549cc">mlpack::kernel::HyperbolicTangentKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1LaplacianKernel.html#a994f9e763d66eb96cd73a6834496e2bc">mlpack::kernel::LaplacianKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1LinearKernel.html#aa6dee6c328bc6f8b18a9daaa09a546a2">mlpack::kernel::LinearKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1PolynomialKernel.html#a695e37e2e483960dd1c315b7e006ad88">mlpack::kernel::PolynomialKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1PSpectrumStringKernel.html#adddb1e8f3fa716c7b7f3db6745fd9286">mlpack::kernel::PSpectrumStringKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1SphericalKernel.html#abc3cd8c42a86d60eea3a55501a6e83f1">mlpack::kernel::SphericalKernel</a>
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, <a class="el" href="classmlpack_1_1kernel_1_1TriangularKernel.html#a7819d40b5ceeca3a960a08ce8b48f375">mlpack::kernel::TriangularKernel</a>
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, <a class="el" href="classmlpack_1_1metric_1_1IPMetric.html#aeeaaa6e72c5e9c9c5f43fb66a25c2b04">mlpack::metric::IPMetric< KernelType ></a>
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, <a class="el" href="classmlpack_1_1metric_1_1LMetric.html#ac55458730b8e36f51d2f2a3741b77181">mlpack::metric::LMetric< TPower, TTakeRoot ></a>
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, <a class="el" href="classmlpack_1_1metric_1_1MahalanobisDistance.html#a0c7f63d53def84dcab2b7c67e86f7b0d">mlpack::metric::MahalanobisDistance< TakeRoot ></a>
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, <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a60fcd093a9a44400cfcd6d259357d26e">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
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, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a61d91a61e414f422ad6316c460361745">mlpack::nn::SparseAutoencoderFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#a0e61ccaaa0b9b3a8b37d3e038e3e0499">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#a9263b6611f9a8fda7e8612522f0f2e76">mlpack::optimization::AugLagrangianTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#a08683cc694d1cdb51dddd24d3b60f88a">mlpack::optimization::GockenbachFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a338c699a69cc169675b586485559376b">mlpack::optimization::L_BFGS< FunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#afd2fed8f785f61cfbd1a1548f4d94054">mlpack::optimization::LovaszThetaSDP</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a21b8e4f2c4f8a0ee40c8e1c6e0ff3f60">mlpack::optimization::LRSDPFunction< SDPType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GDTestFunction.html#a20389f791fe2edbcad1319b265aae013">mlpack::optimization::test::GDTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GeneralizedRosenbrockFunction.html#a3f0831686b49b66cad681c7a0f89a59a">mlpack::optimization::test::GeneralizedRosenbrockFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockFunction.html#aee21ab64897b7f64a85117f1bb7af599">mlpack::optimization::test::RosenbrockFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockWoodFunction.html#aa32de0525af8b3c296ed4faade406c41">mlpack::optimization::test::RosenbrockWoodFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1SGDTestFunction.html#a26daf70f3d4a965a6f473bd679fc202d">mlpack::optimization::test::SGDTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1WoodFunction.html#ae4a71282f52adebb91b3e47c4c2f67c2">mlpack::optimization::test::WoodFunction</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a2cdf90d1e37e0d43f175d373342cb5a1">mlpack::regression::LogisticRegressionFunction< MatType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a9a019e8fc0180563709261da7a2873ce">mlpack::regression::SoftmaxRegressionFunction</a>
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, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#aa364dc056b684f581445d680c48b977d">mlpack::svd::RegularizedSVDFunction</a>
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, <a class="el" href="classmlpack_1_1tree_1_1GiniGain.html#af3f4046cbc5938f11e9fdce6c9c3323b">mlpack::tree::GiniGain</a>
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, <a class="el" href="classmlpack_1_1tree_1_1GiniImpurity.html#ad4df1f1782283fc198b4eceaf5f7f110">mlpack::tree::GiniImpurity</a>
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, <a class="el" href="classmlpack_1_1tree_1_1InformationGain.html#ac50105cc9c959dc89754baa4ba9b6408">mlpack::tree::InformationGain</a>
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</li>
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<li>EvaluateConstraint()
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: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#af5fd75a0e8f39c0da51c6b4c2b93e789">mlpack::optimization::AugLagrangianTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#a221752195c8d69171e42ff499e028ab1">mlpack::optimization::GockenbachFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a93f07ea7e91ca88301627bf2ecc2fc15">mlpack::optimization::LovaszThetaSDP</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a4217c331f89c41cb6408d5ede87bf875">mlpack::optimization::LRSDPFunction< SDPType ></a>
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</li>
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<li>EvaluateFitnessFunction()
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: <a class="el" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a4d64c6c75adba844168cbbe307efde4c">mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingCategoricalSplit.html#a8e83a6bd5de5bcec736942233dc5d27d">mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingNumericSplit.html#a142fd54346fe7fe19f203441b2cd0040">mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType ></a>
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</li>
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<li>ExactClone()
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: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a0f1a70e2f087743676916c2a7855776c">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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</li>
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<li>ExampleKernel()
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: <a class="el" href="classmlpack_1_1kernel_1_1ExampleKernel.html#aa2ccb2c56b15cdd07f952464e2eeb784">mlpack::kernel::ExampleKernel</a>
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</li>
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<li>ExampleTree()
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: <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#abaaf19b1a2b919d4e2d28bb90525ae91">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
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</li>
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<li>ExponentialSchedule()
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: <a class="el" href="classmlpack_1_1optimization_1_1ExponentialSchedule.html#a45a0f4195092bb5bbabbe475de4df083">mlpack::optimization::ExponentialSchedule</a>
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</li>
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<li>ExtractCentroids()
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: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeans.html#a497ab8fc96ac2c2d674cd7352789c972">mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType ></a>
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</li>
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<li>ExtractSVD()
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: <a class="el" href="classmlpack_1_1svd_1_1QUIC__SVD.html#a3f3703d346ccc7371856cb6c9ad01bac">mlpack::svd::QUIC_SVD</a>
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</li>
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</ul>
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