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&#160;<span id="projectnumber">master</span>
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<li class="current"><a href="functions.html"><span>All</span></a></li>
<li><a href="functions_func.html"><span>Functions</span></a></li>
<li><a href="functions_vars.html"><span>Variables</span></a></li>
<li><a href="functions_type.html"><span>Typedefs</span></a></li>
<li><a href="functions_enum.html"><span>Enumerations</span></a></li>
<li><a href="functions_eval.html"><span>Enumerator</span></a></li>
<li><a href="functions_rela.html"><span>Related&#160;Functions</span></a></li>
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<li><a href="functions.html#index_a"><span>a</span></a></li>
<li><a href="functions_b.html#index_b"><span>b</span></a></li>
<li><a href="functions_c.html#index_c"><span>c</span></a></li>
<li><a href="functions_d.html#index_d"><span>d</span></a></li>
<li><a href="functions_e.html#index_e"><span>e</span></a></li>
<li><a href="functions_f.html#index_f"><span>f</span></a></li>
<li><a href="functions_g.html#index_g"><span>g</span></a></li>
<li><a href="functions_h.html#index_h"><span>h</span></a></li>
<li><a href="functions_i.html#index_i"><span>i</span></a></li>
<li><a href="functions_j.html#index_j"><span>j</span></a></li>
<li><a href="functions_k.html#index_k"><span>k</span></a></li>
<li class="current"><a href="functions_l.html#index_l"><span>l</span></a></li>
<li><a href="functions_m.html#index_m"><span>m</span></a></li>
<li><a href="functions_n.html#index_n"><span>n</span></a></li>
<li><a href="functions_o.html#index_o"><span>o</span></a></li>
<li><a href="functions_p.html#index_p"><span>p</span></a></li>
<li><a href="functions_q.html#index_q"><span>q</span></a></li>
<li><a href="functions_r.html#index_r"><span>r</span></a></li>
<li><a href="functions_s.html#index_s"><span>s</span></a></li>
<li><a href="functions_t.html#index_t"><span>t</span></a></li>
<li><a href="functions_u.html#index_u"><span>u</span></a></li>
<li><a href="functions_v.html#index_v"><span>v</span></a></li>
<li><a href="functions_w.html#index_w"><span>w</span></a></li>
<li><a href="functions_x.html#index_x"><span>x</span></a></li>
<li><a href="functions_y.html#index_y"><span>y</span></a></li>
<li><a href="functions_z.html#index_z"><span>z</span></a></li>
<li><a href="functions_0x7e.html#index_0x7e"><span>~</span></a></li>
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<div class="contents">
<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
<h3><a class="anchor" id="index_l"></a>- l -</h3><ul>
<li>l
: <a class="el" href="classmlpack_1_1neighbor_1_1DrusillaSelect.html#a9d203807eb1cd6b7a4a370492f451991">mlpack::neighbor::DrusillaSelect&lt; MatType &gt;</a>
, <a class="el" href="classmlpack_1_1neighbor_1_1QDAFN.html#af7a661a922a258b717daf70c20d66fcb">mlpack::neighbor::QDAFN&lt; MatType &gt;</a>
</li>
<li>L2Error()
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#ac1cba40f0504fc2fddb25dc9b603f965">mlpack::tree::CosineTree</a>
</li>
<li>l2Error
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#aef135dcfc07a26f8af0f6e24ca07d739">mlpack::tree::CosineTree</a>
</li>
<li>l2NormsSquared
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#aa07de1621f98ecfb03b9f3f1ec60a2e2">mlpack::tree::CosineTree</a>
</li>
<li>L_BFGS()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#ada07bd1baaa3daa325bc5efdc5444719">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>L_BFGSType
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#a9236e1d59fd814bda0d65523808b34f1">mlpack::optimization::AugLagrangian&lt; LagrangianFunction &gt;</a>
</li>
<li>labels
: <a class="el" href="classmlpack_1_1nca_1_1NCA.html#a8cf11316cd7928f4ca57576f9c68222f">mlpack::nca::NCA&lt; MetricType, OptimizerType &gt;</a>
</li>
<li>Labels()
: <a class="el" href="classmlpack_1_1nca_1_1NCA.html#a8edc80ced277d8cb374447f737b29854">mlpack::nca::NCA&lt; MetricType, OptimizerType &gt;</a>
</li>
<li>labels
: <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#afe9c3d9edb331845c0b6ce28444cc484">mlpack::nca::SoftmaxErrorFunction&lt; MetricType &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1HoeffdingNumericSplit.html#a646601d4adf5129b90ce8963a3a0dab5">mlpack::tree::HoeffdingNumericSplit&lt; FitnessFunction, ObservationType &gt;</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#a49bf691c98b92c8f4155da7b0c2e6f66">mlpack::lcc::LocalCoordinateCoding</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#aeb64582fc383528cf464dd7f2b96ac55">mlpack::lcc::LocalCoordinateCoding</a>
, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoder.html#aefa60fd1fafc5de36b3748e98964ec41">mlpack::nn::SparseAutoencoder&lt; OptimizerType &gt;</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoder.html#acd9e03beffadd0a2be11bd72f0e0a593">mlpack::nn::SparseAutoencoder&lt; OptimizerType &gt;</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a732d5a82a16e1338f985992126e30254">mlpack::nn::SparseAutoencoderFunction</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a265662d7e4cc5b9b11d01f96ffa34dfb">mlpack::nn::SparseAutoencoderFunction</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#ab912c3bb7da9c0d2e725b0a689521d8b">mlpack::optimization::AugLagrangian&lt; LagrangianFunction &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#a805bd11de0728edb772aaf3899d1a7c3">mlpack::optimization::AugLagrangianFunction&lt; LagrangianFunction &gt;</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#aaffaf8ec6e9ffeb76ebdcaa61ffd7f6e">mlpack::optimization::AugLagrangianFunction&lt; LagrangianFunction &gt;</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#ad9cbc51527d214e92b6cfaa1540bb906">mlpack::optimization::AugLagrangianFunction&lt; LagrangianFunction &gt;</a>
, <a class="el" href="classmlpack_1_1optimization_1_1ExponentialSchedule.html#a15154641a7772538bd5e9f8e05c7aeb8">mlpack::optimization::ExponentialSchedule</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1optimization_1_1ExponentialSchedule.html#adc7beb2e3179c579f16c5eddcaf80291">mlpack::optimization::ExponentialSchedule</a>
, <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a991550d23a6541409ef2271dd20d23c2">mlpack::regression::LinearRegression</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a84dda88c77270fb22fec2571aaa9e597">mlpack::regression::LinearRegression</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#a791a5b68c3ecc4c4d2307395cc28ad99">mlpack::regression::LogisticRegression&lt; MatType &gt;</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#ad7d27ae1948a2e37882147852e11e90b">mlpack::regression::LogisticRegression&lt; MatType &gt;</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a5058f00c39a8846b5193c5ff81f315e2">mlpack::regression::LogisticRegressionFunction&lt; MatType &gt;</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab142fc11fc0baa2f9137186009ece105">mlpack::regression::LogisticRegressionFunction&lt; MatType &gt;</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#aef8244c429815ff3172bc9adeb8547d4">mlpack::regression::SoftmaxRegression&lt; OptimizerType &gt;</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#a05874dd6a0566c6fd98704469eb3c52f">mlpack::regression::SoftmaxRegression&lt; OptimizerType &gt;</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a670dad5b9bcd03bf0af094a1a4ef3d7f">mlpack::regression::SoftmaxRegressionFunction</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#ab4406833a9268b8729d53e7ff3a46d21">mlpack::regression::SoftmaxRegressionFunction</a>
</li>
<li>lambda
: <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVD.html#a03711c74a3b7edf9d11ec2b8cb7fbb87">mlpack::svd::RegularizedSVD&lt; OptimizerType &gt;</a>
, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#ad2110f373e509f1dcbbac0690af41bd6">mlpack::svd::RegularizedSVDFunction</a>
</li>
<li>Lambda()
: <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#abba28b8bf28a7a61494a83b67c1e7e8f">mlpack::svd::RegularizedSVDFunction</a>
</li>
<li>lambda1
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a52454759cec1963bd8197470cee5c27d">mlpack::regression::LARS</a>
, <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#ab4711495fe1881bc4f61a3252b660166">mlpack::sparse_coding::SparseCoding</a>
</li>
<li>Lambda1()
: <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a47d91644f8f0cc08961c3caf43cd81a9">mlpack::sparse_coding::SparseCoding</a>
</li>
<li>lambda2
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a007065083ec3d5b9e48815ad67c04922">mlpack::regression::LARS</a>
, <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a8b2505fdc424c72f9925060631f9d2cc">mlpack::sparse_coding::SparseCoding</a>
</li>
<li>Lambda2()
: <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a54f409dd73bb45d60b769e2b759eb3c4">mlpack::sparse_coding::SparseCoding</a>
</li>
<li>lambdaPath
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#aefcc54780af00b52976c5afc72e8d4c5">mlpack::regression::LARS</a>
</li>
<li>LambdaPath()
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a2cca58e005bebb79b6eee3ae1aceb703">mlpack::regression::LARS</a>
</li>
<li>LaplaceDistribution()
: <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a86ffa697bf4433eeedd821e21814e8c1">mlpack::distribution::LaplaceDistribution</a>
</li>
<li>LaplacianKernel()
: <a class="el" href="classmlpack_1_1kernel_1_1LaplacianKernel.html#a6968fb3d4d461196394037e79401fd76">mlpack::kernel::LaplacianKernel</a>
</li>
<li>LARS()
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a50f214b37d0fc8f7c036cefd1a000534">mlpack::regression::LARS</a>
</li>
<li>lasso
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#ae7545355b38002cb5f56a0d0b93fe3bf">mlpack::regression::LARS</a>
</li>
<li>lastBaseCase
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#a5fe8def16428075ffad5cdafac98e949">mlpack::kmeans::DualTreeKMeansRules&lt; MetricType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a2c670f24b6f927eaa6564387828b6a5c">mlpack::neighbor::NeighborSearchRules&lt; SortPolicy, MetricType, TreeType &gt;</a>
</li>
<li>LastBaseCase()
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a7cc0e85ce9d379acc7a61beba4c89197">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>lastBaseCase
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a2d4da405e31f62472b4c3bc75ec1e8d8">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>lastCoordinates
: <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a68407bb96a6b4a3e3b92d3661c177f88">mlpack::nca::SoftmaxErrorFunction&lt; MetricType &gt;</a>
</li>
<li>lastDimension
: <a class="el" href="structmlpack_1_1tree_1_1XTreeAuxiliaryInformation_1_1SplitHistoryStruct.html#aeff3f4ca9542e1845c3a75950061dd74">mlpack::tree::XTreeAuxiliaryInformation&lt; TreeType &gt;::SplitHistoryStruct</a>
</li>
<li>LastDistance()
: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchStat.html#ac25b9e91da7ab7ffc5b9627895fbe850">mlpack::neighbor::NeighborSearchStat&lt; SortPolicy &gt;</a>
</li>
<li>lastDistance
: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchStat.html#ac009992f1081ef962a16023f8e00c691">mlpack::neighbor::NeighborSearchStat&lt; SortPolicy &gt;</a>
</li>
<li>LastDistance()
: <a class="el" href="classmlpack_1_1range_1_1RangeSearchStat.html#aa1b9d413f60eff122ad047d43d64d1fb">mlpack::range::RangeSearchStat</a>
</li>
<li>lastDistance
: <a class="el" href="classmlpack_1_1range_1_1RangeSearchStat.html#a3324cda53056b6ed6ba86aea8c356552">mlpack::range::RangeSearchStat</a>
</li>
<li>lastIterationCentroids
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeans.html#a5a24f057ba754920da1c3419a6511458">mlpack::kmeans::DualTreeKMeans&lt; MetricType, MatType, TreeType &gt;</a>
</li>
<li>lastKernel
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSRules.html#addfbb3a573e5fbf2c297626fbeb4b2a7">mlpack::fastmks::FastMKSRules&lt; KernelType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a1e0de0bbe0efda011e277704dedf76e8">mlpack::fastmks::FastMKSStat</a>
</li>
<li>LastKernel()
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a29d51e4e283135c0960ea420ba0635e5">mlpack::fastmks::FastMKSStat</a>
</li>
<li>lastKernelNode
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a5e4d043693b066db5c7745b2df9a0bc6">mlpack::fastmks::FastMKSStat</a>
</li>
<li>LastKernelNode()
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a8dd89696bddd75be5e5d8e5ee49b3480">mlpack::fastmks::FastMKSStat</a>
</li>
<li>lastQueryIndex
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSRules.html#a8f1d3ef2d179c508e627b872d08b4bf8">mlpack::fastmks::FastMKSRules&lt; KernelType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#a73869b6e1860b19310f75b7fce5755d3">mlpack::kmeans::DualTreeKMeansRules&lt; MetricType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a334a6b2304dbf41c7fb207ce2e23ba7a">mlpack::neighbor::NeighborSearchRules&lt; SortPolicy, MetricType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1range_1_1RangeSearchRules.html#a468193ab4403a82be84a11e0e18d3769">mlpack::range::RangeSearchRules&lt; MetricType, TreeType &gt;</a>
</li>
<li>LastQueryNode()
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#aef0173dcb2f8bb53ccbcd388e478292f">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>lastQueryNode
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a36f4514dc20367c7c1fb82a1e8559a97">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>lastReferenceIndex
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSRules.html#ae71f04e9423aef8e57a28c27a465dd6c">mlpack::fastmks::FastMKSRules&lt; KernelType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#a127268a4630bc281f303e3dee88ef305">mlpack::kmeans::DualTreeKMeansRules&lt; MetricType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a9cd5e27ac34a4b7c6b5350a1db385e24">mlpack::neighbor::NeighborSearchRules&lt; SortPolicy, MetricType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1range_1_1RangeSearchRules.html#a0e867af7397d7cd5f6d265adc8d45797">mlpack::range::RangeSearchRules&lt; MetricType, TreeType &gt;</a>
</li>
<li>LastReferenceNode()
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a9c8d0df0e21e9ef0a241c5b393f4bc6d">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>lastReferenceNode
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a61737a4edbe99054dea7e8ad854e4172">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>LastScore()
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#afb0536da21a80967f4149caa5e2a0e87">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>lastScore
: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#aafe4e387953b806ff420919f6797a132">mlpack::tree::TraversalInfo&lt; TreeType &gt;</a>
</li>
<li>LayerAdd()
: <a class="el" href="classmlpack_1_1ann_1_1AddVisitor.html#ae9bf6e0150b414339c97385c38dca00b">mlpack::ann::AddVisitor</a>
</li>
<li>LayerDeterministic()
: <a class="el" href="classmlpack_1_1ann_1_1DeterministicSetVisitor.html#a1a603d97b33321c3d3b70697b50456ce">mlpack::ann::DeterministicSetVisitor</a>
</li>
<li>LayerGradients()
: <a class="el" href="classmlpack_1_1ann_1_1GradientSetVisitor.html#a6f126b07993d8d4b03a9fc5b979ae646">mlpack::ann::GradientSetVisitor</a>
, <a class="el" href="classmlpack_1_1ann_1_1GradientUpdateVisitor.html#a2cd2ca0c23f012a30c513ef7071dcb52">mlpack::ann::GradientUpdateVisitor</a>
, <a class="el" href="classmlpack_1_1ann_1_1GradientVisitor.html#a1ff316092479727fa5dc09ad86646979">mlpack::ann::GradientVisitor</a>
, <a class="el" href="classmlpack_1_1ann_1_1GradientZeroVisitor.html#a073aede65616589c8b13377bd4a849c1">mlpack::ann::GradientZeroVisitor</a>
</li>
<li>LayerInputHeight()
: <a class="el" href="classmlpack_1_1ann_1_1SetInputHeightVisitor.html#a32dbb97a1cfcabd1a4fbf2ceb73b70c9">mlpack::ann::SetInputHeightVisitor</a>
</li>
<li>LayerInputWidth()
: <a class="el" href="classmlpack_1_1ann_1_1SetInputWidthVisitor.html#a048cdd100ad61e6682dfb6fc2c35a44b">mlpack::ann::SetInputWidthVisitor</a>
</li>
<li>LayerOutputHeight()
: <a class="el" href="classmlpack_1_1ann_1_1OutputHeightVisitor.html#a09787c780fe1e735ba333c15614ec803">mlpack::ann::OutputHeightVisitor</a>
</li>
<li>LayerOutputWidth()
: <a class="el" href="classmlpack_1_1ann_1_1OutputWidthVisitor.html#a274877e3578aa50989196c9e588ccfbb">mlpack::ann::OutputWidthVisitor</a>
</li>
<li>LayerParameters()
: <a class="el" href="classmlpack_1_1ann_1_1ParametersSetVisitor.html#af3de7931ecb56ca026ab2ec388af647a">mlpack::ann::ParametersSetVisitor</a>
, <a class="el" href="classmlpack_1_1ann_1_1ParametersVisitor.html#ab3bf97a67983b22e10f7b97ee0e7753d">mlpack::ann::ParametersVisitor</a>
</li>
<li>LayerReward()
: <a class="el" href="classmlpack_1_1ann_1_1RewardSetVisitor.html#adb09417535c8ca8dbcc30f6c0b95f569">mlpack::ann::RewardSetVisitor</a>
</li>
<li>LayerSize()
: <a class="el" href="classmlpack_1_1ann_1_1WeightSetVisitor.html#aa0092a2f455b6b0dea10616beb243a74">mlpack::ann::WeightSetVisitor</a>
, <a class="el" href="classmlpack_1_1ann_1_1WeightSizeVisitor.html#a022d0b9f7a2849385e55bc6b0cb6f0c3">mlpack::ann::WeightSizeVisitor</a>
</li>
<li>LBFGS()
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#a33258b734b9da547cca6c2ffed584fee">mlpack::optimization::AugLagrangian&lt; LagrangianFunction &gt;</a>
</li>
<li>lbfgs
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#adebbf0a697a0b09ce96ddfc50abcc132">mlpack::optimization::AugLagrangian&lt; LagrangianFunction &gt;</a>
</li>
<li>LBFGS()
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#a205c6a195944624a9e312f0822fd9775">mlpack::optimization::AugLagrangian&lt; LagrangianFunction &gt;</a>
</li>
<li>lbfgsInternal
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#a6126a13f9a48f896b3060a8883b67dc7">mlpack::optimization::AugLagrangian&lt; LagrangianFunction &gt;</a>
</li>
<li>leafSize
: <a class="el" href="classmlpack_1_1neighbor_1_1BiSearchVisitor.html#ac4b38df2a51700117a564cc8da17f124">mlpack::neighbor::BiSearchVisitor&lt; SortPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#a10010b8c35fa397d56f0011e65c26228">mlpack::neighbor::NSModel&lt; SortPolicy &gt;</a>
</li>
<li>LeafSize()
: <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#a5cd509fe6e8f4cfb6640675b8667efee">mlpack::neighbor::NSModel&lt; SortPolicy &gt;</a>
</li>
<li>leafSize
: <a class="el" href="classmlpack_1_1neighbor_1_1RAModel.html#aa9185caf67d14dbcbe5743f15c1b03ef">mlpack::neighbor::RAModel&lt; SortPolicy &gt;</a>
</li>
<li>LeafSize()
: <a class="el" href="classmlpack_1_1neighbor_1_1RAModel.html#a9992c74713a8095bc0026e95ec9b3f6d">mlpack::neighbor::RAModel&lt; SortPolicy &gt;</a>
</li>
<li>leafSize
: <a class="el" href="classmlpack_1_1neighbor_1_1TrainVisitor.html#a0925087f122c9c1a87f4a2c9e19c59e7">mlpack::neighbor::TrainVisitor&lt; SortPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1range_1_1BiSearchVisitor.html#a81ac95b1b159b8666c46096dab06bcb3">mlpack::range::BiSearchVisitor</a>
, <a class="el" href="classmlpack_1_1range_1_1RSModel.html#a21aa6deb45618b5abc54acdf989aa2f7">mlpack::range::RSModel</a>
</li>
<li>LeafSize()
: <a class="el" href="classmlpack_1_1range_1_1RSModel.html#ac15f935653d42e68e2b7d4fd5a402d9c">mlpack::range::RSModel</a>
</li>
<li>leafSize
: <a class="el" href="classmlpack_1_1range_1_1TrainVisitor.html#a067104ceca5b47dcded564ba191d10cb">mlpack::range::TrainVisitor</a>
</li>
<li>LeakyReLU()
: <a class="el" href="classmlpack_1_1ann_1_1LeakyReLU.html#a29ce2e1ea75bd695b7718365a5e6d9a1">mlpack::ann::LeakyReLU&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>LearnDistance()
: <a class="el" href="classmlpack_1_1nca_1_1NCA.html#ab986c503437c2c2c0cbd9f47a02b9f9a">mlpack::nca::NCA&lt; MetricType, OptimizerType &gt;</a>
</li>
<li>left
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#ade03ac39d4177e00838493dd218d26eb">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>Left()
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#ade6ba82c21b3a51e2b48ca55dcad05b6">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>left
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#acab6f54be9e548cf8b381a76587e72c5">mlpack::tree::BinarySpaceTree&lt; MetricType, StatisticType, MatType, BoundType, SplitType &gt;</a>
</li>
<li>Left()
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#ab5e8942881d61e589ac3cba84ff79ee5">mlpack::tree::BinarySpaceTree&lt; MetricType, StatisticType, MatType, BoundType, SplitType &gt;</a>
</li>
<li>left
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#a74fc023dcf26c0fed4db61ea0a9a44eb">mlpack::tree::CosineTree</a>
</li>
<li>Left()
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#ae6fc04bd566783542113f5b2a47b5a37">mlpack::tree::CosineTree</a>
, <a class="el" href="classmlpack_1_1tree_1_1HyperplaneBase.html#ae3595e00a6ffa95d9d304b3af2bf45e5">mlpack::tree::HyperplaneBase&lt; BoundT, ProjVectorT &gt;</a>
</li>
<li>left
: <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#af3d3004d09c7057be8c849d7d265c588">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>Left()
: <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a9fbc5932a9fdc72e8eaea4b6b478a968">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>len
: <a class="el" href="structmlpack_1_1data_1_1FirstArrayShim.html#a42873366008c3c9dcf282a40a2964c0f">mlpack::data::FirstArrayShim&lt; T &gt;</a>
, <a class="el" href="structmlpack_1_1data_1_1FirstNormalArrayShim.html#ae49b595bc9f15dfbd579a1729f8a8c2b">mlpack::data::FirstNormalArrayShim&lt; T &gt;</a>
, <a class="el" href="structmlpack_1_1data_1_1SecondArrayShim.html#a523c6a43afbca67ecbde52f2f16363a4">mlpack::data::SecondArrayShim&lt; T &gt;</a>
, <a class="el" href="structmlpack_1_1data_1_1SecondNormalArrayShim.html#a87b78ded878ac4b3c9fd0a1571d6922e">mlpack::data::SecondNormalArrayShim&lt; T &gt;</a>
</li>
<li>lesser
: <a class="el" href="classmlpack_1_1emst_1_1EdgePair.html#a3a6115b30e1a310af63384ac12b43369">mlpack::emst::EdgePair</a>
</li>
<li>Lesser()
: <a class="el" href="classmlpack_1_1emst_1_1EdgePair.html#a43b71576e25a72c45f451076a44a856e">mlpack::emst::EdgePair</a>
</li>
<li>line
: <a class="el" href="structmlpack_1_1Backtrace_1_1Frames.html#a1c529d6f57d1c6564d58c726ee940587">mlpack::Backtrace::Frames</a>
</li>
<li>Linear()
: <a class="el" href="classmlpack_1_1ann_1_1Linear.html#a1be1eb0a6579a5fb9a6e5e0d5a8800fe">mlpack::ann::Linear&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>linear
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#ac6c01c51f992d0264d300813fa86f500">mlpack::fastmks::FastMKSModel</a>
</li>
<li>LINEAR_KERNEL
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#a668603530129fd3d20e964ed52965d6aa2d25afc2058b5ed027e5e1ed5a9f7f7a">mlpack::fastmks::FastMKSModel</a>
</li>
<li>LinearKernel()
: <a class="el" href="classmlpack_1_1kernel_1_1LinearKernel.html#abdd497ce04db4e9b127590fd0ae0e955">mlpack::kernel::LinearKernel</a>
</li>
<li>LinearNoBias()
: <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1205289f9a21963bbc63928611bbc626">mlpack::ann::LinearNoBias&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>LinearRegression()
: <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a8c6abfd51bd332e5f31ce9f1d0a20db2">mlpack::regression::LinearRegression</a>
</li>
<li>lines
: <a class="el" href="classmlpack_1_1neighbor_1_1QDAFN.html#a2634cbffc96a3228baaae6ebb96af1c7">mlpack::neighbor::QDAFN&lt; MatType &gt;</a>
</li>
<li>LineSearch()
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a5f6fcb0bde9fd5b2521c006834ce0577">mlpack::optimization::L_BFGS&lt; FunctionType &gt;</a>
</li>
<li>LMetric()
: <a class="el" href="classmlpack_1_1metric_1_1LMetric.html#aacb79ee507f830c1e9e2793520959aff">mlpack::metric::LMetric&lt; TPower, TTakeRoot &gt;</a>
</li>
<li>lo
: <a class="el" href="classmlpack_1_1math_1_1RangeType.html#a57179131bdd1f7eae0ed22e7f0914a81">mlpack::math::RangeType&lt; T &gt;</a>
</li>
<li>Lo()
: <a class="el" href="classmlpack_1_1math_1_1RangeType.html#affdaad3db9564b758adcb1c483be352d">mlpack::math::RangeType&lt; T &gt;</a>
</li>
<li>Load()
: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#ae13f7084cf28e281b3aa822f0ce04fe7">mlpack::data::LoadCSV</a>
</li>
<li>LoadCSV()
: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#a3a80fb23a4415455d5583cab79544913">mlpack::data::LoadCSV</a>
</li>
<li>loaded
: <a class="el" href="structmlpack_1_1util_1_1ParamData.html#a996860421389d9ab43c7aa5228e7c1d2">mlpack::util::ParamData</a>
</li>
<li>LoadOutputParameterVisitor()
: <a class="el" href="classmlpack_1_1ann_1_1LoadOutputParameterVisitor.html#a933144456dd4bb7efc1f4cfa47e36fcb">mlpack::ann::LoadOutputParameterVisitor</a>
</li>
<li>LocalCoordinateCoding()
: <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#acef0104111b0fb2dd6305e0b245b84c8">mlpack::lcc::LocalCoordinateCoding</a>
</li>
<li>localDataset
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ab0ac3c705092923de263dd0195b14f91">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a31ead74b4a25d34f6221fef6ddae3caa">mlpack::tree::SpillTree&lt; MetricType, StatisticType, MatType, HyperplaneType, SplitType &gt;</a>
</li>
<li>localMetric
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ad975620be4041087edeb9a00190d6db5">mlpack::tree::CoverTree&lt; MetricType, StatisticType, MatType, RootPointPolicy &gt;</a>
</li>
<li>location
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#a11c718a6318ff7470ac84f25e47c28da">mlpack::ann::Glimpse&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>Location()
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#ac3d7b1328a5af0139e43b1631214abf8">mlpack::ann::Glimpse&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>locationParameter
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#a47c0a75b6bc8bb0d0c54d90ba3b90fef">mlpack::ann::Glimpse&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>log2pi
: <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a9e14f26de8635cad1e1fd33ea63bd3b2">mlpack::distribution::GaussianDistribution</a>
</li>
<li>logDetCov
: <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#ab25ba64193df7f17b0106fe40814ea52">mlpack::distribution::GaussianDistribution</a>
</li>
<li>LogisticRegression()
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#a2ae1b6b6caba989c4144c85f57fc7e72">mlpack::regression::LogisticRegression&lt; MatType &gt;</a>
</li>
<li>LogisticRegressionFunction()
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a8f8a0ea4307d3f41dd4c2f864245eb12">mlpack::regression::LogisticRegressionFunction&lt; MatType &gt;</a>
</li>
<li>LogLikelihood()
: <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#a331b4e87ccd48fb56019cfd039c7d266">mlpack::gmm::EMFit&lt; InitialClusteringType, CovarianceConstraintPolicy &gt;</a>
, <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#af65d34a4697118184206c46ebf5c7360">mlpack::gmm::GMM</a>
, <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#a83a6f6f0d75fae4f29e9c7e06d353f1d">mlpack::hmm::HMM&lt; Distribution &gt;</a>
, <a class="el" href="classmlpack_1_1hmm_1_1HMMRegression.html#aaf56d0c2d4502c8fb6e46acaa93faa47">mlpack::hmm::HMMRegression</a>
</li>
<li>LogNegativeError()
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a04c4818b8c9937a5b783e1a905d6a8a2">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>LogNegError()
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a217b11e4f2caa689b0498cb19113679b">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>logNegError
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#adc6d9f98f5d9ae7a52d762ed99d6f523">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>LogProbability()
: <a class="el" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6768fbb34b2e35e3fb774f70029776a8">mlpack::distribution::DiscreteDistribution</a>
, <a class="el" href="classmlpack_1_1distribution_1_1GammaDistribution.html#adc9a82eca7e4a1853a7125614fd7c6ec">mlpack::distribution::GammaDistribution</a>
, <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#ac770ef06e53a8507ae13beec6a2fa051">mlpack::distribution::GaussianDistribution</a>
, <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a12e472d07678ac943481ccdcf8147b4a">mlpack::distribution::LaplaceDistribution</a>
, <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a46b67ea1537c4914de15c41286bf9faf">mlpack::distribution::RegressionDistribution</a>
</li>
<li>LogSoftMax()
: <a class="el" href="classmlpack_1_1ann_1_1LogSoftMax.html#a4bc19d90da269a3ac4d80fdea9bfd191">mlpack::ann::LogSoftMax&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>logVolume
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a442a6746a4ff57642e6f91f36bd3969f">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>LogVolume()
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#afdcb667b1efb8e87b05f506b0934d452">mlpack::det::DTree&lt; MatType, TagType &gt;</a>
</li>
<li>Lookup()
: <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#a547c0ad1fba26f02d4fbfbd36cd9532b">mlpack::ann::Lookup&lt; InputDataType, OutputDataType &gt;</a>
</li>
<li>LovaszThetaSDP()
: <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#aa2c27fed54be0ffb10ba43353e98df29">mlpack::optimization::LovaszThetaSDP</a>
</li>
<li>lowerBound
: <a class="el" href="classmlpack_1_1ann_1_1NguyenWidrowInitialization.html#a60ae790db77596a962215c629edaaff5">mlpack::ann::NguyenWidrowInitialization</a>
, <a class="el" href="classmlpack_1_1ann_1_1RandomInitialization.html#abae29d086c221a9575565960cd77bc43">mlpack::ann::RandomInitialization</a>
</li>
<li>LowerBound()
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansStatistic.html#a5a760c93bb09235c0b6eb6ab0449c5e9">mlpack::kmeans::DualTreeKMeansStatistic</a>
</li>
<li>lowerBound
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansStatistic.html#ab190cf941388086c2a476d26e34f4bd9">mlpack::kmeans::DualTreeKMeansStatistic</a>
</li>
<li>lowerBounds
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeans.html#ac0339cd27a8591c4b205b35e2d8027e2">mlpack::kmeans::DualTreeKMeans&lt; MetricType, MatType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#ab4745550c57b988266f582b934c343c4">mlpack::kmeans::DualTreeKMeansRules&lt; MetricType, TreeType &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1ElkanKMeans.html#aef925405ef0b46bcaa1b76dd0f4cc8b8">mlpack::kmeans::ElkanKMeans&lt; MetricType, MatType &gt;</a>
, <a class="el" href="classmlpack_1_1kmeans_1_1HamerlyKMeans.html#a616bbbe264fd8b92a221c23dbf2258c8">mlpack::kmeans::HamerlyKMeans&lt; MetricType, MatType &gt;</a>
</li>
<li>LRSDP()
: <a class="el" href="classmlpack_1_1optimization_1_1LRSDP.html#a50ad9d6cffd72ef9a612738732048fd1">mlpack::optimization::LRSDP&lt; SDPType &gt;</a>
</li>
<li>LRSDPFunction()
: <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#ae099ca0a5a03fd043c54c0d1236c0771">mlpack::optimization::LRSDPFunction&lt; SDPType &gt;</a>
</li>
<li>LSHSearch()
: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a4cef2e985f92c91f9ad6d2bf702f0186">mlpack::neighbor::LSHSearch&lt; SortPolicy &gt;</a>
</li>
<li>LSTM()
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#ab159ecef80ae317863187f1d27b62184">mlpack::ann::LSTM&lt; InputDataType, OutputDataType &gt;</a>
</li>
</ul>
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