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<li><a href="functions_eval.html"><span>Enumerator</span></a></li>
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<li><a href="functions_func.html#index_a"><span>a</span></a></li>
<li><a href="functions_func_b.html#index_b"><span>b</span></a></li>
<li><a href="functions_func_c.html#index_c"><span>c</span></a></li>
<li><a href="functions_func_d.html#index_d"><span>d</span></a></li>
<li><a href="functions_func_e.html#index_e"><span>e</span></a></li>
<li><a href="functions_func_f.html#index_f"><span>f</span></a></li>
<li><a href="functions_func_g.html#index_g"><span>g</span></a></li>
<li><a href="functions_func_h.html#index_h"><span>h</span></a></li>
<li><a href="functions_func_i.html#index_i"><span>i</span></a></li>
<li><a href="functions_func_j.html#index_j"><span>j</span></a></li>
<li><a href="functions_func_k.html#index_k"><span>k</span></a></li>
<li><a href="functions_func_l.html#index_l"><span>l</span></a></li>
<li class="current"><a href="functions_func_m.html#index_m"><span>m</span></a></li>
<li><a href="functions_func_n.html#index_n"><span>n</span></a></li>
<li><a href="functions_func_o.html#index_o"><span>o</span></a></li>
<li><a href="functions_func_p.html#index_p"><span>p</span></a></li>
<li><a href="functions_func_q.html#index_q"><span>q</span></a></li>
<li><a href="functions_func_r.html#index_r"><span>r</span></a></li>
<li><a href="functions_func_s.html#index_s"><span>s</span></a></li>
<li><a href="functions_func_t.html#index_t"><span>t</span></a></li>
<li><a href="functions_func_u.html#index_u"><span>u</span></a></li>
<li><a href="functions_func_v.html#index_v"><span>v</span></a></li>
<li><a href="functions_func_w.html#index_w"><span>w</span></a></li>
<li><a href="functions_func_x.html#index_x"><span>x</span></a></li>
<li><a href="functions_func_z.html#index_z"><span>z</span></a></li>
<li><a href="functions_func_0x7e.html#index_0x7e"><span>~</span></a></li>
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&#160;
<h3><a class="anchor" id="index_m"></a>- m -</h3><ul>
<li>MahalanobisDistance()
: <a class="el" href="classmlpack_1_1metric_1_1MahalanobisDistance.html#a6388e15cf9007914aa1efc152419d59b">mlpack::metric::MahalanobisDistance&lt; TakeRoot &gt;</a>
</li>
<li>MajorityClass()
: <a class="el" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a37769243377056af37b41adfec46b8bd">mlpack::tree::BinaryNumericSplit&lt; FitnessFunction, ObservationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingCategoricalSplit.html#a8bf75d6c120eadc57b1ee633076f6111">mlpack::tree::HoeffdingCategoricalSplit&lt; FitnessFunction &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingNumericSplit.html#a61b3eb88f5c53067598e91c306d255c4">mlpack::tree::HoeffdingNumericSplit&lt; FitnessFunction, ObservationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#a574d52457625baf2596be5c649d04db1">mlpack::tree::HoeffdingTree&lt; FitnessFunction, NumericSplitType, CategoricalSplitType &gt;</a>
</li>
<li>MajorityProbability()
: <a class="el" href="classmlpack_1_1tree_1_1BinaryNumericSplit.html#a49c45c24bba4a46094664ac806701320">mlpack::tree::BinaryNumericSplit&lt; FitnessFunction, ObservationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingCategoricalSplit.html#ae8ac79b79aecc337360e1e401228254d">mlpack::tree::HoeffdingCategoricalSplit&lt; FitnessFunction &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingNumericSplit.html#ab4fb890bd4dd2026aeee9d5d05beef9e">mlpack::tree::HoeffdingNumericSplit&lt; FitnessFunction, ObservationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#a95f09abf1a126c2b53b34f064b2c142f">mlpack::tree::HoeffdingTree&lt; FitnessFunction, NumericSplitType, CategoricalSplitType &gt;</a>
</li>
<li>MapFirstPass()
: <a class="el" href="classmlpack_1_1data_1_1DatasetMapper.html#af7298ed7371f0f5a9e6037a7979e011b">mlpack::data::DatasetMapper&lt; PolicyType &gt;</a>
, <a class="el" href="classmlpack_1_1data_1_1IncrementPolicy.html#a90f54b1aac0ceb629bc4119251596d62">mlpack::data::IncrementPolicy</a>
, <a class="el" href="classmlpack_1_1data_1_1MissingPolicy.html#a978f5894b8f237a126dfc96e3e491790">mlpack::data::MissingPolicy</a>
</li>
<li>Mapper()
: <a class="el" href="classmlpack_1_1data_1_1Imputer.html#a7437916cb5f28b7e83ceb78cebb3de14">mlpack::data::Imputer&lt; T, MapperType, StrategyType &gt;</a>
</li>
<li>Mappings()
: <a class="el" href="classmlpack_1_1adaboost_1_1AdaBoostModel.html#a301acd979a0d1a58a7ca80a480b433f1">mlpack::adaboost::AdaBoostModel</a>
</li>
<li>MapString()
: <a class="el" href="classmlpack_1_1data_1_1DatasetMapper.html#a8cd218e53f40e74a8e87d505a4b4cf76">mlpack::data::DatasetMapper&lt; PolicyType &gt;</a>
, <a class="el" href="classmlpack_1_1data_1_1IncrementPolicy.html#ab461fd055a44fe58503d8988831ee68f">mlpack::data::IncrementPolicy</a>
, <a class="el" href="classmlpack_1_1data_1_1MissingPolicy.html#a3c88da433a1e46ba5da8612a7346018d">mlpack::data::MissingPolicy</a>
</li>
<li>MapTokens()
: <a class="el" href="classmlpack_1_1data_1_1DatasetMapper.html#a3d8edc5e1b28d178df5096cd7fb5e5d5">mlpack::data::DatasetMapper&lt; PolicyType &gt;</a>
, <a class="el" href="classmlpack_1_1data_1_1IncrementPolicy.html#a730116cdfb7b0a1cd3da922af3401ce5">mlpack::data::IncrementPolicy</a>
, <a class="el" href="classmlpack_1_1data_1_1MissingPolicy.html#ae4ec80386944552fe7c0a175a01fff6d">mlpack::data::MissingPolicy</a>
</li>
<li>MatrixCompletion()
: <a class="el" href="classmlpack_1_1matrix__completion_1_1MatrixCompletion.html#ac10286ac5d7b8ca5e5dd35a35578ead8">mlpack::matrix_completion::MatrixCompletion</a>
</li>
<li>MatUtriCholFactor()
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a5c8f7687c1dbd02e44b76a639b47ae23">mlpack::regression::LARS</a>
</li>
<li>MaxDistance()
: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#a9368c39397736c1a22ea5703a66cbabc">mlpack::bound::BallBound&lt; MetricType, VecType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HollowBallBound.html#aafd59af59959487e064888cc8178f2ab">mlpack::bound::HollowBallBound&lt; TMetricType, ElemType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HRectBound.html#ae68fbe401588fc248371dc76517c7b5c">mlpack::bound::HRectBound&lt; MetricType, ElemType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a0aecfce2b0eab57c4a30219dd8b5b718">mlpack::tree::BinarySpaceTree&lt; MetricType, StatisticType, MatType, BoundType, SplitType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ac34136681c6ed01506c860dd1e815825">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#a6f7b0f22d5b042fefa548afe59ba4656">mlpack::tree::ExampleTree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a9575c0526822aed946176655cc0d55dc">mlpack::tree::Octree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a426a9c2a4bf9d87b524d5f6f9188d7e6">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a532a790cb96a882c5cf96a2e1f07d2f8">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>MaxIterations()
: <a class="el" href="classmlpack_1_1amf_1_1CompleteIncrementalTermination.html#a071476d30f9c402cef9d1c3ed1d58d7a">mlpack::amf::CompleteIncrementalTermination&lt; TerminationPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1amf_1_1IncompleteIncrementalTermination.html#a8dd5907769f37cdd6db48208e85d6e13">mlpack::amf::IncompleteIncrementalTermination&lt; TerminationPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1amf_1_1MaxIterationTermination.html#a07bbbea7b23ce1f4533303f06daef235">mlpack::amf::MaxIterationTermination</a>
, <a class="el" href="classmlpack_1_1amf_1_1SimpleResidueTermination.html#a205aaaf19f9cea01f231f7b860814f64">mlpack::amf::SimpleResidueTermination</a>
, <a class="el" href="classmlpack_1_1amf_1_1SimpleToleranceTermination.html#ae43aa9244e7ec923a8d9c8e7ea01613e">mlpack::amf::SimpleToleranceTermination&lt; MatType &gt;</a>
, <a class="el" href="classmlpack_1_1amf_1_1ValidationRMSETermination.html#acd50cc10ba4253df3596641d0a804a68">mlpack::amf::ValidationRMSETermination&lt; MatType &gt;</a>
, <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#af6c593e716a094b742d2d157f52ca75e">mlpack::gmm::EMFit&lt; InitialClusteringType, CovarianceConstraintPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1KMeans.html#a01b24902c64bbf045491d69c746d6a50">mlpack::kmeans::KMeans&lt; MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#a6706bc0aa78c7c67f22e88575925439b">mlpack::lcc::LocalCoordinateCoding</a>
, <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#a639165a033c556224b044704bcf5f812">mlpack::meanshift::MeanShift&lt; UseKernel, KernelType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#a500124f0dc953ade5965c388106200c4">mlpack::optimization::AdaDelta&lt; DecomposableFunctionType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1Adam.html#a2c6089a426b12a338dfd1578db148b86">mlpack::optimization::Adam&lt; DecomposableFunctionType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1GradientDescent.html#ab8cf876f67ec1dea34b86eaf4ecfc725">mlpack::optimization::GradientDescent&lt; FunctionType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#ae54a21b7df3af91ca57f2593e227d299">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35a9ef041c0bb3f940e78593754ac536">mlpack::optimization::MiniBatchSGD&lt; DecomposableFunctionType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1PrimalDualSolver.html#a333a28a17f38978901c0f2e07ca3bf75">mlpack::optimization::PrimalDualSolver&lt; SDPType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#abc153184d6096c00f391130844b8893f">mlpack::optimization::RMSprop&lt; DecomposableFunctionType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1SA.html#aba854b79ce23e8ca848e0059f07baea2">mlpack::optimization::SA&lt; FunctionType, CoolingScheduleType &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1SGD.html#a9acf6ce28d3133336f0e02111394e7df">mlpack::optimization::SGD&lt; DecomposableFunctionType, UpdatePolicy &gt;</a>
, <a class="el" href="classmlpack_1_1pca_1_1RandomizedSVDPolicy.html#af2f952c11fc29aa28f711a107664780a">mlpack::pca::RandomizedSVDPolicy</a>
, <a class="el" href="classmlpack_1_1perceptron_1_1Perceptron.html#a56878ce65d2d01ab95abae9b4feb74d3">mlpack::perceptron::Perceptron&lt; LearnPolicy, WeightInitializationPolicy, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#afbb6a1afa961fe55837defb7d020d693">mlpack::sparse_coding::SparseCoding</a>
, <a class="el" href="classmlpack_1_1svd_1_1RandomizedSVD.html#ae95613dfd1b7c9a8bf0bc24a846be969">mlpack::svd::RandomizedSVD</a>
</li>
<li>MaxIterationTermination()
: <a class="el" href="classmlpack_1_1amf_1_1MaxIterationTermination.html#ad93e5736187af9b5a505fc48c174881b">mlpack::amf::MaxIterationTermination</a>
</li>
<li>MaxLeafSize()
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a7349b0a6f92eef8850b5579d58f4738b">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
</li>
<li>MaxLineSearchTrials()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a1359171e3ead467dfec6f0592501bc3d">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>MaxMove()
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a3296ad3e7ae1cadac0f3460b9c376f9f">mlpack::optimization::SA&lt; FunctionType, CoolingScheduleType &gt;</a>
</li>
<li>MaxNeighborDistance()
: <a class="el" href="classmlpack_1_1emst_1_1DTBStat.html#a25c16bef1e6e6377d0edebbebeae0f47">mlpack::emst::DTBStat</a>
</li>
<li>MaxNumChildren()
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a875919b52cccd0046a4521cec2cdc9ee">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
</li>
<li>MaxPooling()
: <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#ae77da717024365eefc5e5bf1f77efedf">mlpack::ann::MaxPooling&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>MaxRange()
: <a class="el" href="classmlpack_1_1math_1_1ColumnsToBlocks.html#a3443e4d95d40a7896fcd8db2dc5150ec">mlpack::math::ColumnsToBlocks</a>
</li>
<li>MaxSamples()
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#a6ebd8e5c32a96a709c12e6a286857a51">mlpack::tree::HoeffdingTree&lt; FitnessFunction, NumericSplitType, CategoricalSplitType &gt;</a>
</li>
<li>MaxStep()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a8756ee7f153b85aa29f32fdab0404915">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>MaxToleranceSweep()
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a41371fc54ac1dcd9162a3bd99000fbb5">mlpack::optimization::SA&lt; FunctionType, CoolingScheduleType &gt;</a>
</li>
<li>MaxVals()
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a0b53699fef6b4cebdba80f9d66da4875">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>MaxValue()
: <a class="el" href="classmlpack_1_1ann_1_1HardTanH.html#aa35cb34d55953a23f8356834e581c5b3">mlpack::ann::HardTanH&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>MaxVarianceNewCluster()
: <a class="el" href="classmlpack_1_1kmeans_1_1MaxVarianceNewCluster.html#a44e417460f632365dcf7de278b8dd84b">mlpack::kmeans::MaxVarianceNewCluster</a>
</li>
<li>Mean()
: <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a2a64f63d99d78f778795a7e40cec6004">mlpack::distribution::GaussianDistribution</a>
, <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a55159319b94c25e95a4290f1d2ea4a36">mlpack::distribution::LaplaceDistribution</a>
</li>
<li>MeanPooling()
: <a class="el" href="classmlpack_1_1ann_1_1MeanPooling.html#a04dc58381b45f80f2fd1920b607a33c8">mlpack::ann::MeanPooling&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>Means()
: <a class="el" href="classmlpack_1_1naive__bayes_1_1NaiveBayesClassifier.html#a31803d8ea383b0c1e45caf9d4fa3b480">mlpack::naive_bayes::NaiveBayesClassifier&lt; MatType &gt;</a>
</li>
<li>MeanShift()
: <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#a7096a27c13dcae8541e3c34794af9b8c">mlpack::meanshift::MeanShift&lt; UseKernel, KernelType, MatType &gt;</a>
</li>
<li>MeanSquaredError()
: <a class="el" href="classmlpack_1_1ann_1_1MeanSquaredError.html#a68f3c3711158b6a2edddc3381ec65f32">mlpack::ann::MeanSquaredError&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>MergeRanges()
: <a class="el" href="classmlpack_1_1decision__stump_1_1DecisionStump.html#a54866a31124123b5df89197c377ab1d1">mlpack::decision_stump::DecisionStump&lt; MatType &gt;</a>
</li>
<li>Metric()
: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#a4c1247d0aa6cbee9004ac94b6005e094">mlpack::bound::BallBound&lt; MetricType, VecType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HollowBallBound.html#ac63c28de570bcb75faa844e6a1b61ab6">mlpack::bound::HollowBallBound&lt; TMetricType, ElemType &gt;</a>
, <a class="el" href="classmlpack_1_1fastmks_1_1FastMKS.html#aa2f358ec981cf2f58346bc5c1b500250">mlpack::fastmks::FastMKS&lt; KernelType, MatType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1KMeans.html#ada82dc0c553d651916714832e5c16f9c">mlpack::kmeans::KMeans&lt; MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#af97ffcf5536eff69c2df58dfc512382f">mlpack::tree::BinarySpaceTree&lt; MetricType, StatisticType, MatType, BoundType, SplitType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a6b207b875e2417607b0b6aec34f8906e">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#acae2d391cfc2e6a1ab0e3db6a0219bb0">mlpack::tree::ExampleTree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a84a8b24bfa0d12a565ccad5be7e52568">mlpack::tree::Octree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#ad37e375f49ac9d31aa8c03c032a65c36">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a6ac1e93b1d7fad7a472cb689d9b7b93f">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>Mid()
: <a class="el" href="classmlpack_1_1math_1_1RangeType.html#afe79cfa514b739081ca9b95621762ba2">mlpack::math::RangeType&lt; T &gt;</a>
</li>
<li>MinDistance()
: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#ab0bb37ff1ce3330ea41a6280f0898f5c">mlpack::bound::BallBound&lt; MetricType, VecType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HollowBallBound.html#a418ccd1b7bc554f39a82158bcd5f25ab">mlpack::bound::HollowBallBound&lt; TMetricType, ElemType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HRectBound.html#aaea70c9638f5123e3d83c1322fbdd721">mlpack::bound::HRectBound&lt; MetricType, ElemType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a841df3c5421c31182cfe2de2f97097b3">mlpack::tree::BinarySpaceTree&lt; MetricType, StatisticType, MatType, BoundType, SplitType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a224890c6d0c8dd58bb7b9761990cac4e">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#a6d09b7624a33c4476892aaee57c21a24">mlpack::tree::ExampleTree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a749f3f625fa3e3a468203826c85085dd">mlpack::tree::Octree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a5cfbe61260459c326ea6706fa192ddcb">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#aff6b18234af0f93400a8bf3dbf85d572">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>MinGradientNorm()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#ac19562b8330e99121f80f1adbced00ea">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>MiniBatchSGD()
: <a class="el" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a15035e9fb9538743cd8bd3e05fd31977">mlpack::optimization::MiniBatchSGD&lt; DecomposableFunctionType &gt;</a>
</li>
<li>MinimumBoundDistance()
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#aad1060c92be12f7fb4a72bea9ecc9cab">mlpack::tree::BinarySpaceTree&lt; MetricType, StatisticType, MatType, BoundType, SplitType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a4f39bc6648e21a7aecaaf5ca71c69dfd">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#adf9bf881b541f59ebefc3e2824703124">mlpack::tree::Octree&lt; MetricType, StatisticType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a0186e79ada1cc823521ff3faabf45792">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a1a0721e0735177434b262293cefb19e3">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>MinimumSamplesReqd()
: <a class="el" href="classmlpack_1_1neighbor_1_1RAUtil.html#a3e004c7082de16b5365c7d27d7208220">mlpack::neighbor::RAUtil</a>
</li>
<li>MinLeafSize()
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#abc41f2efb966706458607e9711c22117">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
</li>
<li>MinNeighborDistance()
: <a class="el" href="classmlpack_1_1emst_1_1DTBStat.html#a5bc57cb6da8f39b9147c19c4a5555c07">mlpack::emst::DTBStat</a>
</li>
<li>MinNumChildren()
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a423c377f773eb123ddae0e287afd43cb">mlpack::tree::RectangleTree&lt; MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType &gt;</a>
</li>
<li>MinPointIterate()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a29dcbb9163d442a7746e61e9b594eb0d">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>MinRange()
: <a class="el" href="classmlpack_1_1math_1_1ColumnsToBlocks.html#a658165824e10b9db6bb5f7efb73b812a">mlpack::math::ColumnsToBlocks</a>
</li>
<li>MinResidue()
: <a class="el" href="classmlpack_1_1amf_1_1SimpleResidueTermination.html#a10a0047c574597980ec6d14a72c359c0">mlpack::amf::SimpleResidueTermination</a>
</li>
<li>MinSamples()
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#a3edbbf10cc1a4d4c4e3c960aadc11875">mlpack::tree::HoeffdingTree&lt; FitnessFunction, NumericSplitType, CategoricalSplitType &gt;</a>
</li>
<li>MinStep()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a7d96460bbdca77db674a1a92147cabf7">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>MinVals()
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a04ed364d6d4dffb9c8e666d7a896b639">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>MinValue()
: <a class="el" href="classmlpack_1_1ann_1_1HardTanH.html#aefa263bd9c2b752f6ea6ab301053bbf0">mlpack::ann::HardTanH&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>MinWidth()
: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#a46c4ba7ee41d634761c1310f8f831c81">mlpack::bound::BallBound&lt; MetricType, VecType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HollowBallBound.html#a34cdc126c503d2b3c833fa411bd94479">mlpack::bound::HollowBallBound&lt; TMetricType, ElemType &gt;</a>
, <a class="el" href="classmlpack_1_1bound_1_1HRectBound.html#a1f96e4e87ad18cea349cb2b4e4d43d06">mlpack::bound::HRectBound&lt; MetricType, ElemType &gt;</a>
</li>
<li>MissingPolicy()
: <a class="el" href="classmlpack_1_1data_1_1MissingPolicy.html#a5b649c67ccc2cb1b5704aaefbe66ac95">mlpack::data::MissingPolicy</a>
</li>
<li>Model()
: <a class="el" href="classmlpack_1_1ann_1_1Concat.html#a8947ffcc9a58a218c0149258df46be9c">mlpack::ann::Concat&lt; InputDataType, OutputDataType &gt;</a>
, <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#a39fd81285f3904cc39a8afacd4829f0b">mlpack::ann::DropConnect&lt; InputDataType, OutputDataType &gt;</a>
, <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a63b244bd757f83a1736303b2600eee05">mlpack::ann::LSTM&lt; InputDataType, OutputDataType &gt;</a>
, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a931f34df6406620a2600ae25791d8610">mlpack::ann::Recurrent&lt; InputDataType, OutputDataType &gt;</a>
, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#ac4148977cfbd072efc7c650ba99113af">mlpack::ann::RecurrentAttention&lt; InputDataType, OutputDataType &gt;</a>
, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a39172376ed3734aa87d28ce45c21277c">mlpack::ann::Sequential&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>ModifiedGramSchmidt()
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#a7fc34f5ecf6641f5b1585e6aa8909285">mlpack::tree::CosineTree</a>
</li>
<li>MonoSearchVisitor()
: <a class="el" href="classmlpack_1_1neighbor_1_1MonoSearchVisitor.html#ac5350a1c609621d6833514b9930caae5">mlpack::neighbor::MonoSearchVisitor</a>
, <a class="el" href="classmlpack_1_1range_1_1MonoSearchVisitor.html#a05039629732a655a80290d61b6cf8cd6">mlpack::range::MonoSearchVisitor</a>
</li>
<li>MonteCarloError()
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#a6e253238c8eef0a5908978a07f4b8e5c">mlpack::tree::CosineTree</a>
</li>
<li>MoveControl()
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#ae5a4321e8048dc36ecbc173de5a54a11">mlpack::optimization::SA&lt; FunctionType, CoolingScheduleType &gt;</a>
</li>
<li>MoveCtrlSweep()
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a6127a6347a81512148f48ac765fbad37">mlpack::optimization::SA&lt; FunctionType, CoolingScheduleType &gt;</a>
</li>
<li>MoveSize()
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a82c2d5c36d2dea7aa249c2cb754beff0">mlpack::optimization::SA&lt; FunctionType, CoolingScheduleType &gt;</a>
</li>
<li>MoveToUsedSet()
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#aefd0b12f7369727b24ecbafc67344248">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
</li>
<li>MultiplyConstant()
: <a class="el" href="classmlpack_1_1ann_1_1MultiplyConstant.html#a5c66c311cb3e0c4b719f7621d5e3c20a">mlpack::ann::MultiplyConstant&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>MVU()
: <a class="el" href="classmlpack_1_1mvu_1_1MVU.html#afae0cfa63cf8526eb28da04e2ea1192d">mlpack::mvu::MVU</a>
</li>
</ul>
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