365 lines
26 KiB
HTML
365 lines
26 KiB
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<li><a href="functions_0x7e.html#index_0x7e"><span>~</span></a></li>
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<div class="contents">
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<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
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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_1emst_1_1DualTreeBoruvka.html#afec77d07d8b76613618c6c5fe031236f">mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a4994b2dc1ac4c79621bd404c3d5b4ef3">mlpack::optimization::LovaszThetaSDP</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>elasticNet
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: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a0d7b186958893d8c80daa0e807def589">mlpack::regression::LARS</a>
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</li>
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<li>elements
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: <a class="el" href="classmlpack_1_1ann_1_1Select.html#aec0e6ca645e2785a91b91cfa81e29989">mlpack::ann::Select< InputDataType, OutputDataType ></a>
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</li>
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<li>ElemType
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: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#a1dd52e343c3e277bf13ba3d8fa42af0f">mlpack::bound::BallBound< MetricType, VecType ></a>
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, <a class="el" href="classmlpack_1_1det_1_1DTree.html#a0cfcdb37f3a9b7f1f8751fd99119c37d">mlpack::det::DTree< MatType, TagType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a45c13c579558efc3210ea11dedc6f4ed">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a642f3b132a13c354b6216392a349e10f">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1HilbertRTreeAuxiliaryInformation.html#a3412e31e4176c5c8efd187b5e7c9d79b">mlpack::tree::HilbertRTreeAuxiliaryInformation< TreeType, HilbertValueType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#aa20764e2edc49b577fa7f243ce126b0b">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#aa75d976c5611214d9e9749e844877ce2">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RPlusPlusTreeAuxiliaryInformation.html#a1292484ccd889dab6773de366a5f0930">mlpack::tree::RPlusPlusTreeAuxiliaryInformation< TreeType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RPTreeMaxSplit.html#a85936c73cab84e8bee94aeb920b202a1">mlpack::tree::RPTreeMaxSplit< BoundType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RPTreeMeanSplit.html#a6d6841f0046c8ed29d6d3444e9075e87">mlpack::tree::RPTreeMeanSplit< BoundType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a5698c45a888029b584108bdc943700af">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1VantagePointSplit.html#aed3184a8be607b48b4877c7cc90363de">mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples ></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#ab2a10159d760f051148ed24dbbad5f31">mlpack::hmm::HMM< Distribution ></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>empty
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: <a class="el" href="classmlpack_1_1ann_1_1Concat.html#ac8f2b90d42ae173a9fe13ca169a6206c">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a3b8c4ad2e8c30d87a3bad59b076a7137">mlpack::ann::Sequential< InputDataType, OutputDataType ></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#ae6b9eb8f0b802c347b59147d0682dd84">mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType ></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#a7ae0154a5246f06aeec06fffa85ba23b">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>end
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: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a159f2067030e99c83e8de31f13ed4bd0">mlpack::det::DTree< MatType, TagType ></a>
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</li>
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<li>epan
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#af6ce723917589dbf7ba31bbf94189001">mlpack::fastmks::FastMKSModel</a>
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</li>
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<li>EPANECHNIKOV_KERNEL
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#a668603530129fd3d20e964ed52965d6aac79726dba8f0695dee7d9f173ca4a342">mlpack::fastmks::FastMKSModel</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>eps
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: <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#a8daa7c2a8b22f982cf1271c10334f046">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1Adam.html#a034aa918d9a0b60c392ceecaea2f7ef8">mlpack::optimization::Adam< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#a42fafe0c44af79c10285b330e2bc6013">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1svd_1_1RandomizedSVD.html#a327ded7a6390da4eda87420505fc83ac">mlpack::svd::RandomizedSVD</a>
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</li>
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<li>epsilon
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: <a class="el" href="classmlpack_1_1dbscan_1_1DBSCAN.html#a17c67662e8349108561b2e0404b98f41">mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#a02d14564a86b37365a5aa6ff67d9f8f2">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></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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</li>
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<li>epsilon
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a82f70bd9e4e319cf3745d6e243a70013">mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType ></a>
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</li>
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<li>Epsilon()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#aa9dd04cf1fe5466f65a33506cf63eb4f">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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</li>
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<li>epsilon
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: <a class="el" href="classmlpack_1_1pca_1_1QUICSVDPolicy.html#ade9427e54e84eec100874782a52d7a10">mlpack::pca::QUICSVDPolicy</a>
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</li>
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<li>Epsilon()
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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>
|
|
</li>
|
|
<li>err
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6a7e22ec080d7e0085813231b9e384e0">mlpack::distribution::RegressionDistribution</a>
|
|
</li>
|
|
<li>Err()
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a6d00806e36cabaaf4747773fe605ba11">mlpack::distribution::RegressionDistribution</a>
|
|
</li>
|
|
<li>error
|
|
: <a class="el" href="classmlpack_1_1ann_1_1BackwardVisitor.html#aeefe7c805231a3330a8684a9c12ac6db">mlpack::ann::BackwardVisitor</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1FFN.html#aa54f5c40a6db5ad632f007c2be1b6d43">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#acb5cefe5af510735a51c02d946fcfb58">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>errorFunction
|
|
: <a class="el" href="classmlpack_1_1nca_1_1NCA.html#a26fbbdee3f3b88e3f9d50fadfe6a2d86">mlpack::nca::NCA< MetricType, OptimizerType ></a>
|
|
</li>
|
|
<li>Estimate()
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a4049953f22414dc7346e63dba1dc2a7f">mlpack::distribution::LaplaceDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#a866986fd0df110ec1b32d25d71ac6a23">mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy ></a>
|
|
, <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#aaf771c62844f8f3b62ce3dde31b6106d">mlpack::hmm::HMM< Distribution ></a>
|
|
, <a class="el" href="classmlpack_1_1hmm_1_1HMMRegression.html#a04bdac3f5b6616b578130535263d8b91">mlpack::hmm::HMMRegression</a>
|
|
</li>
|
|
<li>EstimateRadius()
|
|
: <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#af0bf781763e805cdc361e38fc536b0db">mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType ></a>
|
|
</li>
|
|
<li>Evaluate()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#ad9895fbe59fa742793b1ef30eeb516be">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a4998a414624de0d2985280d7abfaf3d9">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1CosineDistance.html#ad317e3f97456618ae1c7d92e3120ac13">mlpack::kernel::CosineDistance</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1EpanechnikovKernel.html#a4fe76eccfddd4d0aefd3330f80e80ffc">mlpack::kernel::EpanechnikovKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1ExampleKernel.html#ab6493b82672c90274e9c0acc1340bf8f">mlpack::kernel::ExampleKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#a574ef2113ec8ac965df031eee219dd73">mlpack::kernel::GaussianKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1HyperbolicTangentKernel.html#a98757405d0e08bef9d0f32a61a9549cc">mlpack::kernel::HyperbolicTangentKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1LaplacianKernel.html#ac84bc5a72ef2c3ee2071e4e79368a4f6">mlpack::kernel::LaplacianKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1LinearKernel.html#aa6dee6c328bc6f8b18a9daaa09a546a2">mlpack::kernel::LinearKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1PolynomialKernel.html#a695e37e2e483960dd1c315b7e006ad88">mlpack::kernel::PolynomialKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1PSpectrumStringKernel.html#adddb1e8f3fa716c7b7f3db6745fd9286">mlpack::kernel::PSpectrumStringKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1SphericalKernel.html#abc3cd8c42a86d60eea3a55501a6e83f1">mlpack::kernel::SphericalKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1TriangularKernel.html#a863d4d137fa14bc7c44a3e8d805da5d4">mlpack::kernel::TriangularKernel</a>
|
|
, <a class="el" href="classmlpack_1_1metric_1_1IPMetric.html#aeeaaa6e72c5e9c9c5f43fb66a25c2b04">mlpack::metric::IPMetric< KernelType ></a>
|
|
, <a class="el" href="classmlpack_1_1metric_1_1LMetric.html#ac55458730b8e36f51d2f2a3741b77181">mlpack::metric::LMetric< TPower, TTakeRoot ></a>
|
|
, <a class="el" href="classmlpack_1_1metric_1_1MahalanobisDistance.html#a0c7f63d53def84dcab2b7c67e86f7b0d">mlpack::metric::MahalanobisDistance< TakeRoot ></a>
|
|
, <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a60fcd093a9a44400cfcd6d259357d26e">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
|
|
, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a61d91a61e414f422ad6316c460361745">mlpack::nn::SparseAutoencoderFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#a38546cd74fa75aac61e6f0127650d1b1">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#a9263b6611f9a8fda7e8612522f0f2e76">mlpack::optimization::AugLagrangianTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#a08683cc694d1cdb51dddd24d3b60f88a">mlpack::optimization::GockenbachFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a338c699a69cc169675b586485559376b">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#afd2fed8f785f61cfbd1a1548f4d94054">mlpack::optimization::LovaszThetaSDP</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a21b8e4f2c4f8a0ee40c8e1c6e0ff3f60">mlpack::optimization::LRSDPFunction< SDPType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GDTestFunction.html#a20389f791fe2edbcad1319b265aae013">mlpack::optimization::test::GDTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GeneralizedRosenbrockFunction.html#a9ff58164495218dca577dba928b9cb2a">mlpack::optimization::test::GeneralizedRosenbrockFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockFunction.html#aee21ab64897b7f64a85117f1bb7af599">mlpack::optimization::test::RosenbrockFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockWoodFunction.html#aa32de0525af8b3c296ed4faade406c41">mlpack::optimization::test::RosenbrockWoodFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1SGDTestFunction.html#a26daf70f3d4a965a6f473bd679fc202d">mlpack::optimization::test::SGDTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1WoodFunction.html#ae4a71282f52adebb91b3e47c4c2f67c2">mlpack::optimization::test::WoodFunction</a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a200729c6e8d9f433f930b8880f79eef5">mlpack::regression::LogisticRegressionFunction< MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a9a019e8fc0180563709261da7a2873ce">mlpack::regression::SoftmaxRegressionFunction</a>
|
|
, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#aa364dc056b684f581445d680c48b977d">mlpack::svd::RegularizedSVDFunction</a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1GiniGain.html#af3f4046cbc5938f11e9fdce6c9c3323b">mlpack::tree::GiniGain</a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1GiniImpurity.html#ad4df1f1782283fc198b4eceaf5f7f110">mlpack::tree::GiniImpurity</a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1InformationGain.html#a20845d9c6613e2653f2cff024916bc82">mlpack::tree::InformationGain</a>
|
|
</li>
|
|
<li>EvaluateConstraint()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#af5fd75a0e8f39c0da51c6b4c2b93e789">mlpack::optimization::AugLagrangianTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#a221752195c8d69171e42ff499e028ab1">mlpack::optimization::GockenbachFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a93f07ea7e91ca88301627bf2ecc2fc15">mlpack::optimization::LovaszThetaSDP</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a4217c331f89c41cb6408d5ede87bf875">mlpack::optimization::LRSDPFunction< SDPType ></a>
|
|
</li>
|
|
<li>EvaluateFitnessFunction()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a4d64c6c75adba844168cbbe307efde4c">mlpack::tree::BinaryNumericSplit< FitnessFunction, ObservationType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingCategoricalSplit.html#a8e83a6bd5de5bcec736942233dc5d27d">mlpack::tree::HoeffdingCategoricalSplit< FitnessFunction ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingNumericSplit.html#a142fd54346fe7fe19f203441b2cd0040">mlpack::tree::HoeffdingNumericSplit< FitnessFunction, ObservationType ></a>
|
|
</li>
|
|
<li>ExactClone()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a0f1a70e2f087743676916c2a7855776c">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
</li>
|
|
<li>ExampleKernel()
|
|
: <a class="el" href="classmlpack_1_1kernel_1_1ExampleKernel.html#aa2ccb2c56b15cdd07f952464e2eeb784">mlpack::kernel::ExampleKernel</a>
|
|
</li>
|
|
<li>ExampleTree()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#abaaf19b1a2b919d4e2d28bb90525ae91">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
|
|
</li>
|
|
<li>ExponentialSchedule()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1ExponentialSchedule.html#a45a0f4195092bb5bbabbe475de4df083">mlpack::optimization::ExponentialSchedule</a>
|
|
</li>
|
|
<li>extension
|
|
: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#aabe360c952da56ee91b64ade44b9e24d">mlpack::data::LoadCSV</a>
|
|
</li>
|
|
<li>ExtractCentroids()
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeans.html#a497ab8fc96ac2c2d674cd7352789c972">mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType ></a>
|
|
</li>
|
|
<li>ExtractSVD()
|
|
: <a class="el" href="classmlpack_1_1svd_1_1QUIC__SVD.html#a3f3703d346ccc7371856cb6c9ad01bac">mlpack::svd::QUIC_SVD</a>
|
|
</li>
|
|
</ul>
|
|
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