400 lines
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HTML
400 lines
26 KiB
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<div id="projectname">mlpack
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 <span id="projectnumber">master</span>
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<li><a href="functions_type.html"><span>Typedefs</span></a></li>
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<li><a href="functions_enum.html"><span>Enumerations</span></a></li>
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<li><a href="functions_eval.html"><span>Enumerator</span></a></li>
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<li><a href="functions_rela.html"><span>Related Functions</span></a></li>
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<li><a href="functions_func.html#index_a"><span>a</span></a></li>
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<li><a href="functions_func_b.html#index_b"><span>b</span></a></li>
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<li><a href="functions_func_c.html#index_c"><span>c</span></a></li>
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<li><a href="functions_func_e.html#index_e"><span>e</span></a></li>
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<li><a href="functions_func_f.html#index_f"><span>f</span></a></li>
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<li><a href="functions_func_g.html#index_g"><span>g</span></a></li>
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<li><a href="functions_func_h.html#index_h"><span>h</span></a></li>
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<li><a href="functions_func_i.html#index_i"><span>i</span></a></li>
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<li><a href="functions_func_j.html#index_j"><span>j</span></a></li>
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<li><a href="functions_func_k.html#index_k"><span>k</span></a></li>
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<li><a href="functions_func_l.html#index_l"><span>l</span></a></li>
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<li><a href="functions_func_m.html#index_m"><span>m</span></a></li>
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<li><a href="functions_func_n.html#index_n"><span>n</span></a></li>
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<li><a href="functions_func_o.html#index_o"><span>o</span></a></li>
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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_q.html#index_q"><span>q</span></a></li>
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<li class="current"><a href="functions_func_r.html#index_r"><span>r</span></a></li>
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<li><a href="functions_func_s.html#index_s"><span>s</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_v.html#index_v"><span>v</span></a></li>
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<li><a href="functions_func_w.html#index_w"><span>w</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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<div class="contents">
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<h3><a class="anchor" id="index_r"></a>- r -</h3><ul>
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<li>Radical()
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: <a class="el" href="classmlpack_1_1radical_1_1Radical.html#ad1c87631c64363d72f73d8925b786f9f">mlpack::radical::Radical</a>
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</li>
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<li>Radius()
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: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#a20a40a8b30e58cad16f9d6ce01b45144">mlpack::bound::BallBound< MetricType, VecType ></a>
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, <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#aac1698b2653c2c00494ecfc6775e6652">mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType ></a>
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</li>
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<li>RAModel()
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: <a class="el" href="classmlpack_1_1neighbor_1_1RAModel.html#ad648eba8e8e5f7785275356fc3522dbf">mlpack::neighbor::RAModel< SortPolicy ></a>
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</li>
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<li>Random()
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: <a class="el" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#adeb56ea7e07eca693ab4de0a21d52509">mlpack::distribution::DiscreteDistribution</a>
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, <a class="el" href="classmlpack_1_1distribution_1_1GammaDistribution.html#acb31c20345e9f63dda9661db321968e1">mlpack::distribution::GammaDistribution</a>
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, <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a40794ed450cd4dc6602bd4f5b76cb9ee">mlpack::distribution::GaussianDistribution</a>
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, <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a0414b3b74f6d5785df01683a02264612">mlpack::distribution::LaplaceDistribution</a>
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, <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#a3037b0529e22a4005c694c4bf297a7e2">mlpack::gmm::GMM</a>
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</li>
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<li>RandomAcolInitialization()
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: <a class="el" href="classmlpack_1_1amf_1_1RandomAcolInitialization.html#a5a66d72ff9270603b9296168527329c9">mlpack::amf::RandomAcolInitialization< columnsToAverage ></a>
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</li>
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<li>RandomBasis()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#a6deacc6afc84e947c86da283fa27aa1d">mlpack::neighbor::NSModel< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1RAModel.html#a3d00405e63755cf98d1c5fd1050c0d1a">mlpack::neighbor::RAModel< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1range_1_1RSModel.html#ae18c48bfe2c2fd6ce37cab57db1be582">mlpack::range::RSModel</a>
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</li>
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<li>RandomInitialization()
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: <a class="el" href="classmlpack_1_1amf_1_1RandomInitialization.html#afbb2f299c75e717e393c8464f233df75">mlpack::amf::RandomInitialization</a>
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, <a class="el" href="classmlpack_1_1ann_1_1RandomInitialization.html#a759e46080f26bb7ca56a43dbac892255">mlpack::ann::RandomInitialization</a>
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, <a class="el" href="classmlpack_1_1perceptron_1_1RandomInitialization.html#aad540b0a0517fe6d2902b4e1a64ed74b">mlpack::perceptron::RandomInitialization</a>
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</li>
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<li>RandomizedSVD()
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: <a class="el" href="classmlpack_1_1svd_1_1RandomizedSVD.html#a8ce931925a0625f40d2271506fb24ab7">mlpack::svd::RandomizedSVD</a>
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</li>
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<li>RandomizedSVDPolicy()
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: <a class="el" href="classmlpack_1_1pca_1_1RandomizedSVDPolicy.html#a6b5f608999f337ec66716ee11704f7c8">mlpack::pca::RandomizedSVDPolicy</a>
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</li>
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<li>RandomPartition()
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: <a class="el" href="classmlpack_1_1kmeans_1_1RandomPartition.html#aa66681c22f1b6322663f2072e77e738e">mlpack::kmeans::RandomPartition</a>
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</li>
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<li>Range()
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: <a class="el" href="classmlpack_1_1tree_1_1GiniGain.html#a5074e2e1ca9392dc4806f3b1fe828c52">mlpack::tree::GiniGain</a>
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, <a class="el" href="classmlpack_1_1tree_1_1GiniImpurity.html#ab2a220d3aabd5e5a5f53e7a1ae09437d">mlpack::tree::GiniImpurity</a>
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, <a class="el" href="classmlpack_1_1tree_1_1InformationGain.html#af18b0bba60c637ccbd5f4b60eb4b46b0">mlpack::tree::InformationGain</a>
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</li>
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<li>RangeDistance()
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: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#afda450244a516b9a1538d025e59807ec">mlpack::bound::BallBound< MetricType, VecType ></a>
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, <a class="el" href="classmlpack_1_1bound_1_1HollowBallBound.html#a79b14d524c386d0db290518920f49b7f">mlpack::bound::HollowBallBound< TMetricType, ElemType ></a>
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, <a class="el" href="classmlpack_1_1bound_1_1HRectBound.html#a924c37907ab98cf2ac658abd983bc576">mlpack::bound::HRectBound< MetricType, ElemType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a91052a8efe03a7da378cf0c646dd6f37">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ab9cb1ec67855df16783c9925c36f8370">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#afbe951155756bc116fde10fcc9506959">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#aacd6a8ba7835094de8ca5dfe242b389a">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#aa3b634d34fb326936c77ab389e1a8fe0">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#ab2b673b990e6453cee38476b6c62c703">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>RangeSearch()
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: <a class="el" href="classmlpack_1_1range_1_1RangeSearch.html#adc0bf4d8af5a5a3fdfe65802c1a849b4">mlpack::range::RangeSearch< MetricType, MatType, TreeType ></a>
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</li>
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<li>RangeSearchRules()
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: <a class="el" href="classmlpack_1_1range_1_1RangeSearchRules.html#a8c71af9710b33dd019a4547f9eb33ea4">mlpack::range::RangeSearchRules< MetricType, TreeType ></a>
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</li>
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<li>RangeSearchStat()
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: <a class="el" href="classmlpack_1_1range_1_1RangeSearchStat.html#a8191b7f28574caa2d8f39ead9edf2215">mlpack::range::RangeSearchStat</a>
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</li>
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<li>RangeType()
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: <a class="el" href="classmlpack_1_1math_1_1RangeType.html#a279d9692c6e47a51aa663efb2aeb78ce">mlpack::math::RangeType< T ></a>
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</li>
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<li>Rank()
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: <a class="el" href="classmlpack_1_1cf_1_1CF.html#ab74fd3fd9d29c8cac7fd773f3bcf6555">mlpack::cf::CF</a>
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, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#a70087b7e8835ae0597a5fd8e600b8d95">mlpack::svd::RegularizedSVDFunction</a>
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</li>
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<li>RAQueryStat()
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: <a class="el" href="classmlpack_1_1neighbor_1_1RAQueryStat.html#af7f28b132170cfd3ea5c968297964e59">mlpack::neighbor::RAQueryStat< SortPolicy ></a>
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</li>
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<li>RASearch()
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: <a class="el" href="classmlpack_1_1neighbor_1_1RASearch.html#af7f0d946743c6966010e21c90ea88086">mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType ></a>
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</li>
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<li>RASearchRules()
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: <a class="el" href="classmlpack_1_1neighbor_1_1RASearchRules.html#a4d8b11ae2e3fa5d5447e9b4e9633e8a5">mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType ></a>
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</li>
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<li>Ratio()
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: <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#a20c9e7836c2c378fccd2e62f567b6ffd">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Dropout.html#a93bfdf2402a3f84443cfbb66ece95635">mlpack::ann::Dropout< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1det_1_1DTree.html#a4f9015980b40e7237107aa1d0361afb3">mlpack::det::DTree< MatType, TagType ></a>
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</li>
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<li>Recall()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#a2c91e05636e7122400313270feca1d12">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></a>
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</li>
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<li>Recover()
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: <a class="el" href="classmlpack_1_1matrix__completion_1_1MatrixCompletion.html#af486903584214c283bc7354e18ce6fbd">mlpack::matrix_completion::MatrixCompletion</a>
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</li>
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<li>RectangleTree()
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: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a0d7d333256b052604b952f9325449451">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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</li>
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<li>Recurrent()
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: <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#af05d437e94e516bddd88ff384124c67a">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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</li>
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<li>RecurrentAttention()
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: <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a19f682d512f398ca875a91dba8ed8692">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
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</li>
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<li>RedistributeNodesEvenly()
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: <a class="el" href="classmlpack_1_1tree_1_1HilbertRTreeSplit.html#a4c9fcf3038bbee3d18c38811c86ae343">mlpack::tree::HilbertRTreeSplit< splitOrder ></a>
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</li>
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<li>RedistributePointsEvenly()
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: <a class="el" href="classmlpack_1_1tree_1_1HilbertRTreeSplit.html#a23e37c440350e73a80586c9297332bf0">mlpack::tree::HilbertRTreeSplit< splitOrder ></a>
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</li>
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<li>ReferenceRecursion()
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: <a class="el" href="classmlpack_1_1tree_1_1CoverTree_1_1DualTreeTraverser.html#a7bc16d6ef54ee25617d9a6113b35c85f">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType ></a>
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</li>
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<li>ReferenceSet()
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: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#ab3080a9c8940e0740b3bae3a287a6087">mlpack::neighbor::LSHSearch< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#a6661389e9e9fdd662d36f347bc15945d">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1RASearch.html#aee7ef452f19c9b7aae1f829605d893f7">mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType ></a>
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, <a class="el" href="classmlpack_1_1range_1_1RangeSearch.html#a671ec5dda79c51dd85e939a6ac51c1de">mlpack::range::RangeSearch< MetricType, MatType, TreeType ></a>
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</li>
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<li>ReferenceTree()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#a94c87b9c41801e25320f418e21872c1e">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></a>
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, <a class="el" href="classmlpack_1_1range_1_1RangeSearch.html#a706464bac7cb1159558b67bfdfd9a43f">mlpack::range::RangeSearch< MetricType, MatType, TreeType ></a>
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</li>
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<li>RefinedStart()
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1RefinedStart.html#adde167739b1f6a60b818ecba61b36075">mlpack::kmeans::RefinedStart</a>
|
|
</li>
|
|
<li>RegisterProgramDoc()
|
|
: <a class="el" href="classmlpack_1_1CLI.html#a1387710297754b9e9cee337c0048abab">mlpack::CLI</a>
|
|
</li>
|
|
<li>RegressionDistribution()
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a04e57f869f787f5f7ba9d5d897b56b9b">mlpack::distribution::RegressionDistribution</a>
|
|
</li>
|
|
<li>RegularizedSVD()
|
|
: <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVD.html#a08b5bb062aafcc65b68839d196fcb157">mlpack::svd::RegularizedSVD< OptimizerType ></a>
|
|
</li>
|
|
<li>RegularizedSVDFunction()
|
|
: <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#aee28becab4f6caa581a8e89642656ef1">mlpack::svd::RegularizedSVDFunction</a>
|
|
</li>
|
|
<li>ReinforceNormal()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1ReinforceNormal.html#a06b518e4ecec1e1f0588e37d10ea8cc6">mlpack::ann::ReinforceNormal< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Relax()
|
|
: <a class="el" href="classmlpack_1_1neighbor_1_1FurthestNeighborSort.html#ad7a36c4c393e76b2b36622f92e106069">mlpack::neighbor::FurthestNeighborSort</a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NearestNeighborSort.html#a01ffdabb65b1c2c5184b6dbd07a1debf">mlpack::neighbor::NearestNeighborSort</a>
|
|
</li>
|
|
<li>RemoveNewImplicitNodes()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a9b2ebd124ecafec70d30f6d777ae8b86">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
</li>
|
|
<li>RemoveNode()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#ad96d2d549b3e0e89a7b7664889a3496c">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
</li>
|
|
<li>Replicates()
|
|
: <a class="el" href="classmlpack_1_1radical_1_1Radical.html#afd2efae93e53a97a9619dab1780b1e48">mlpack::radical::Radical</a>
|
|
</li>
|
|
<li>ReSampling()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#a554a61c61c4a5e39ad404f3da054b3f3">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Rescale()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Dropout.html#a1e0524e445ee244ee41d4e1155f08863">mlpack::ann::Dropout< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Rescore()
|
|
: <a class="el" href="classmlpack_1_1emst_1_1DTBRules.html#a41b12d2634a71d24e4e9f94650b0806b">mlpack::emst::DTBRules< MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSRules.html#a637ff89ad03b9f45736d65f0ac9ba4c8">mlpack::fastmks::FastMKSRules< KernelType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#a51aacb5357ac97e693e18d7d27859aae">mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1PellegMooreKMeansRules.html#a227f5b4954011ed5d87d83ae997ed159">mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a51b1e4dacf09cc73198ead710255b292">mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1RASearchRules.html#a0ef2f7df444c8e48566ee9d9f2eee04a">mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1range_1_1RangeSearchRules.html#a7dc82bd61e93b5c0a1c9ea52a33ac4c8">mlpack::range::RangeSearchRules< MetricType, TreeType ></a>
|
|
</li>
|
|
<li>Reset()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a7c87bcfaa28fb51caffee542776bbe01">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Linear.html#abc7588fc1eca48455b90ee72e6ba6d81">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#abb95f813a32402b1b7ef2b47174b71da">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#aa2abb422e52df1e689bad80c5b38e55f">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchStat.html#a7caf5ae24f1dd2aeb5dc69af6f9f4882">mlpack::neighbor::NeighborSearchStat< SortPolicy ></a>
|
|
</li>
|
|
<li>ResetDeterministic()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#ac9cff0fca2334a489b51b8f979cb54c3">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a434a0fec69daad59ccfdf1dab95a71d4">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>ResetGradients()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a4ca578ce1277ef3c048ecf3709f49b44">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#aea2e221c136342d54c9bebdd9599219e">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>ResetParameter()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1ResetVisitor.html#a639f5a328a422f947a7eba0ffa1288fb">mlpack::ann::ResetVisitor</a>
|
|
</li>
|
|
<li>ResetParameters()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a5f55142a4bc136653bc9413db3eb35bf">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a215b8ed02c7c644aad17d57f7f6beb7c">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>ResetQueryTree()
|
|
: <a class="el" href="classmlpack_1_1neighbor_1_1RASearch.html#aed5063a3a67627e28220e3c6234b6643">mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType ></a>
|
|
</li>
|
|
<li>Responses()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a0331f1eb0524c8baca3e6ce7f8af8ed0">mlpack::regression::LogisticRegressionFunction< MatType ></a>
|
|
</li>
|
|
<li>ReturnIndicesFromTable()
|
|
: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a263e7065ecf300787fc3403182217150">mlpack::neighbor::LSHSearch< SortPolicy ></a>
|
|
</li>
|
|
<li>Reward()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1ReinforceNormal.html#ae0ac631faf486858234950436ed7ce8c">mlpack::ann::ReinforceNormal< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>RewardSetVisitor()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1RewardSetVisitor.html#aa648ec35cc26eb69f209c5a276ec83c4">mlpack::ann::RewardSetVisitor</a>
|
|
</li>
|
|
<li>Rf()
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a854bcc37110425ee2785aba6e47eaa15">mlpack::distribution::RegressionDistribution</a>
|
|
</li>
|
|
<li>Rho()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a5b82ea1eceb438357a3f62e7c2da5ea3">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#ad7bb490b8ce852004bcfe14285eebd79">mlpack::neighbor::NSModel< SortPolicy ></a>
|
|
, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoder.html#a02f3ae8b0af824280a221b4032a450dd">mlpack::nn::SparseAutoencoder< OptimizerType ></a>
|
|
, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a259127347c3809ab3857af6afade4979">mlpack::nn::SparseAutoencoderFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#a613a359459c13f08be2f7e1fa9a82ccc">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>Right()
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a4c1076b9a7f90103575854261cee526c">mlpack::det::DTree< MatType, TagType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a348fb083c7711cce7cbb1a3df65d661a">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#aec829bd377937345ab31964c141972c2">mlpack::tree::CosineTree</a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1HyperplaneBase.html#a4c0e448c2f74d5bf29c242916f477f22">mlpack::tree::HyperplaneBase< BoundT, ProjVectorT ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a7e3accade12965b3fa514e1fe5f0d8a2">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
|
|
</li>
|
|
<li>RMSprop()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#a1110f2523d607689fad218983c0aa8e9">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>RNN()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a8b2407c392dddfe13e890790d5ca9b17">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>Root()
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#ac2ae8837b65bfd7cd606c4542a37dcb2">mlpack::det::DTree< MatType, TagType ></a>
|
|
</li>
|
|
<li>RosenbrockFunction()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockFunction.html#a21421adbec2194aa3b37bc639e7c32a0">mlpack::optimization::test::RosenbrockFunction</a>
|
|
</li>
|
|
<li>RosenbrockWoodFunction()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockWoodFunction.html#a663c01e89065a590d024ffc7a74a00c1">mlpack::optimization::test::RosenbrockWoodFunction</a>
|
|
</li>
|
|
<li>Rotate180()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a20330974d27c36fda8b99246016339dc">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Rows()
|
|
: <a class="el" href="classmlpack_1_1math_1_1ColumnsToBlocks.html#a9dd1065d8c81c6135975f43e2e7852c1">mlpack::math::ColumnsToBlocks</a>
|
|
</li>
|
|
<li>RowSize()
|
|
: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#a4f9bb3dcd883e33617bfa451e830c01d">mlpack::data::LoadCSV</a>
|
|
</li>
|
|
<li>RPlusPlusTreeAuxiliaryInformation()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RPlusPlusTreeAuxiliaryInformation.html#a326b213c19df87453dcc52b303a0882b">mlpack::tree::RPlusPlusTreeAuxiliaryInformation< TreeType ></a>
|
|
</li>
|
|
<li>RSModel()
|
|
: <a class="el" href="classmlpack_1_1range_1_1RSModel.html#a7a64adcdcb01e27fd969dcf3b0ab57bf">mlpack::range::RSModel</a>
|
|
</li>
|
|
</ul>
|
|
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