361 lines
21 KiB
HTML
361 lines
21 KiB
HTML
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<div id="projectname">mlpack
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 <span id="projectnumber">master</span>
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<li><a href="inherits.html"><span>Class Hierarchy</span></a></li>
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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_d.html#index_d"><span>d</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 class="current"><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><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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</ul>
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<div class="contents">
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<h3><a class="anchor" id="index_l"></a>- l -</h3><ul>
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<li>L2Error()
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: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#ac1cba40f0504fc2fddb25dc9b603f965">mlpack::tree::CosineTree</a>
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</li>
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<li>L_BFGS()
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: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#ada07bd1baaa3daa325bc5efdc5444719">mlpack::optimization::L_BFGS< FunctionType ></a>
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</li>
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<li>Labels()
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: <a class="el" href="classmlpack_1_1nca_1_1NCA.html#a8edc80ced277d8cb374447f737b29854">mlpack::nca::NCA< MetricType, OptimizerType ></a>
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</li>
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<li>Lambda()
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: <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#aeb64582fc383528cf464dd7f2b96ac55">mlpack::lcc::LocalCoordinateCoding</a>
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, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoder.html#aefa60fd1fafc5de36b3748e98964ec41">mlpack::nn::SparseAutoencoder< OptimizerType ></a>
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, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#a732d5a82a16e1338f985992126e30254">mlpack::nn::SparseAutoencoderFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#ab912c3bb7da9c0d2e725b0a689521d8b">mlpack::optimization::AugLagrangian< LagrangianFunction ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#a805bd11de0728edb772aaf3899d1a7c3">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1ExponentialSchedule.html#a15154641a7772538bd5e9f8e05c7aeb8">mlpack::optimization::ExponentialSchedule</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a84dda88c77270fb22fec2571aaa9e597">mlpack::regression::LinearRegression</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#a781606f6944e17437274ecc65b982b3d">mlpack::regression::LogisticRegression< MatType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab142fc11fc0baa2f9137186009ece105">mlpack::regression::LogisticRegressionFunction< MatType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#a05874dd6a0566c6fd98704469eb3c52f">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#ab4406833a9268b8729d53e7ff3a46d21">mlpack::regression::SoftmaxRegressionFunction</a>
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, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#abba28b8bf28a7a61494a83b67c1e7e8f">mlpack::svd::RegularizedSVDFunction</a>
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</li>
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<li>Lambda1()
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: <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a47d91644f8f0cc08961c3caf43cd81a9">mlpack::sparse_coding::SparseCoding</a>
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</li>
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<li>Lambda2()
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: <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a54f409dd73bb45d60b769e2b759eb3c4">mlpack::sparse_coding::SparseCoding</a>
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</li>
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<li>LambdaPath()
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: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a2cca58e005bebb79b6eee3ae1aceb703">mlpack::regression::LARS</a>
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</li>
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<li>LaplaceDistribution()
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: <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a86ffa697bf4433eeedd821e21814e8c1">mlpack::distribution::LaplaceDistribution</a>
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</li>
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<li>LaplacianKernel()
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: <a class="el" href="classmlpack_1_1kernel_1_1LaplacianKernel.html#a6968fb3d4d461196394037e79401fd76">mlpack::kernel::LaplacianKernel</a>
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</li>
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<li>LARS()
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: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a7bbe6b8cf539bf449052776278963fc0">mlpack::regression::LARS</a>
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</li>
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<li>LastBaseCase()
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: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a7cc0e85ce9d379acc7a61beba4c89197">mlpack::tree::TraversalInfo< TreeType ></a>
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</li>
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<li>LastDistance()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchStat.html#ac25b9e91da7ab7ffc5b9627895fbe850">mlpack::neighbor::NeighborSearchStat< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1range_1_1RangeSearchStat.html#aa1b9d413f60eff122ad047d43d64d1fb">mlpack::range::RangeSearchStat</a>
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</li>
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<li>LastKernel()
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a29d51e4e283135c0960ea420ba0635e5">mlpack::fastmks::FastMKSStat</a>
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</li>
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<li>LastKernelNode()
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a8dd89696bddd75be5e5d8e5ee49b3480">mlpack::fastmks::FastMKSStat</a>
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</li>
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<li>LastQueryNode()
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: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#aef0173dcb2f8bb53ccbcd388e478292f">mlpack::tree::TraversalInfo< TreeType ></a>
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</li>
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<li>LastReferenceNode()
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: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#a9c8d0df0e21e9ef0a241c5b393f4bc6d">mlpack::tree::TraversalInfo< TreeType ></a>
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</li>
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<li>LastScore()
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: <a class="el" href="classmlpack_1_1tree_1_1TraversalInfo.html#afb0536da21a80967f4149caa5e2a0e87">mlpack::tree::TraversalInfo< TreeType ></a>
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</li>
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<li>LayerAdd()
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: <a class="el" href="classmlpack_1_1ann_1_1AddVisitor.html#ae9bf6e0150b414339c97385c38dca00b">mlpack::ann::AddVisitor</a>
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</li>
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<li>LayerDeterministic()
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: <a class="el" href="classmlpack_1_1ann_1_1DeterministicSetVisitor.html#a1a603d97b33321c3d3b70697b50456ce">mlpack::ann::DeterministicSetVisitor</a>
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</li>
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<li>LayerGradients()
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: <a class="el" href="classmlpack_1_1ann_1_1GradientSetVisitor.html#a6c92ed2955bb2364193beeac815e5ac7">mlpack::ann::GradientSetVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1GradientUpdateVisitor.html#a2cd2ca0c23f012a30c513ef7071dcb52">mlpack::ann::GradientUpdateVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1GradientVisitor.html#a1ff316092479727fa5dc09ad86646979">mlpack::ann::GradientVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1GradientZeroVisitor.html#a073aede65616589c8b13377bd4a849c1">mlpack::ann::GradientZeroVisitor</a>
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</li>
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<li>LayerInputHeight()
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: <a class="el" href="classmlpack_1_1ann_1_1SetInputHeightVisitor.html#a32dbb97a1cfcabd1a4fbf2ceb73b70c9">mlpack::ann::SetInputHeightVisitor</a>
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</li>
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<li>LayerInputWidth()
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: <a class="el" href="classmlpack_1_1ann_1_1SetInputWidthVisitor.html#a285ee78f8ab91c6d2452d9ddc8ef5b90">mlpack::ann::SetInputWidthVisitor</a>
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</li>
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<li>LayerOutputHeight()
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: <a class="el" href="classmlpack_1_1ann_1_1OutputHeightVisitor.html#a09787c780fe1e735ba333c15614ec803">mlpack::ann::OutputHeightVisitor</a>
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</li>
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<li>LayerOutputWidth()
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: <a class="el" href="classmlpack_1_1ann_1_1OutputWidthVisitor.html#a274877e3578aa50989196c9e588ccfbb">mlpack::ann::OutputWidthVisitor</a>
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</li>
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<li>LayerParameters()
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: <a class="el" href="classmlpack_1_1ann_1_1ParametersSetVisitor.html#a32bd181938d561ca1edac476574a5bc5">mlpack::ann::ParametersSetVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1ParametersVisitor.html#ab3bf97a67983b22e10f7b97ee0e7753d">mlpack::ann::ParametersVisitor</a>
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</li>
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<li>LayerReward()
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: <a class="el" href="classmlpack_1_1ann_1_1RewardSetVisitor.html#adb09417535c8ca8dbcc30f6c0b95f569">mlpack::ann::RewardSetVisitor</a>
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</li>
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<li>LayerSize()
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: <a class="el" href="classmlpack_1_1ann_1_1WeightSetVisitor.html#aa0092a2f455b6b0dea10616beb243a74">mlpack::ann::WeightSetVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1WeightSizeVisitor.html#a6edbf13d595f7b6d64ca21cb2b23fb84">mlpack::ann::WeightSizeVisitor</a>
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</li>
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<li>LBFGS()
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: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#a205c6a195944624a9e312f0822fd9775">mlpack::optimization::AugLagrangian< LagrangianFunction ></a>
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</li>
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<li>LeafSize()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NSModel.html#a5cd509fe6e8f4cfb6640675b8667efee">mlpack::neighbor::NSModel< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1RAModel.html#a9992c74713a8095bc0026e95ec9b3f6d">mlpack::neighbor::RAModel< SortPolicy ></a>
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, <a class="el" href="classmlpack_1_1range_1_1RSModel.html#a404bdb14c44b10ea1a6f2a0e3b9b32f8">mlpack::range::RSModel</a>
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</li>
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<li>LeakyReLU()
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: <a class="el" href="classmlpack_1_1ann_1_1LeakyReLU.html#a29ce2e1ea75bd695b7718365a5e6d9a1">mlpack::ann::LeakyReLU< InputDataType, OutputDataType ></a>
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</li>
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<li>LearnDistance()
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: <a class="el" href="classmlpack_1_1nca_1_1NCA.html#ab986c503437c2c2c0cbd9f47a02b9f9a">mlpack::nca::NCA< MetricType, OptimizerType ></a>
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</li>
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<li>Left()
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: <a class="el" href="classmlpack_1_1det_1_1DTree.html#ade6ba82c21b3a51e2b48ca55dcad05b6">mlpack::det::DTree< MatType, TagType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#ab5e8942881d61e589ac3cba84ff79ee5">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#ae6fc04bd566783542113f5b2a47b5a37">mlpack::tree::CosineTree</a>
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, <a class="el" href="classmlpack_1_1tree_1_1HyperplaneBase.html#ae3595e00a6ffa95d9d304b3af2bf45e5">mlpack::tree::HyperplaneBase< BoundT, ProjVectorT ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#ac0aa14bd2cb0ab2a5059781f290ec88b">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>Lesser()
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: <a class="el" href="classmlpack_1_1emst_1_1EdgePair.html#aa179dd921f7fdeea35a4bceb4c30e670">mlpack::emst::EdgePair</a>
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</li>
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<li>Linear()
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: <a class="el" href="classmlpack_1_1ann_1_1Linear.html#ae2684c830cc4bb46554ec12bae5d7802">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
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</li>
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<li>LinearKernel()
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: <a class="el" href="classmlpack_1_1kernel_1_1LinearKernel.html#abdd497ce04db4e9b127590fd0ae0e955">mlpack::kernel::LinearKernel</a>
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</li>
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<li>LinearNoBias()
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: <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#aff9e4a1fd72063c29030e3ad21a3d93b">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
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|
</li>
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|
<li>LinearRegression()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a8c6abfd51bd332e5f31ce9f1d0a20db2">mlpack::regression::LinearRegression</a>
|
|
</li>
|
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<li>LineSearch()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a5f6fcb0bde9fd5b2521c006834ce0577">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
</li>
|
|
<li>LMetric()
|
|
: <a class="el" href="classmlpack_1_1metric_1_1LMetric.html#aacb79ee507f830c1e9e2793520959aff">mlpack::metric::LMetric< TPower, TTakeRoot ></a>
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|
</li>
|
|
<li>Lo()
|
|
: <a class="el" href="classmlpack_1_1math_1_1RangeType.html#a964e83a1e46ee5f1a9da64298b3130bc">mlpack::math::RangeType< T ></a>
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|
</li>
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<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>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>
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|
</li>
|
|
<li>Location()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#ac3d7b1328a5af0139e43b1631214abf8">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
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|
</li>
|
|
<li>LogisticRegression()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#a9a0f6a5e01266920c4c960076fa1a6a4">mlpack::regression::LogisticRegression< MatType ></a>
|
|
</li>
|
|
<li>LogisticRegressionFunction()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a721659982eacc9dce114278c6fdcb2a0">mlpack::regression::LogisticRegressionFunction< MatType ></a>
|
|
</li>
|
|
<li>LogLikelihood()
|
|
: <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#a331b4e87ccd48fb56019cfd039c7d266">mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy ></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< Distribution ></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< MatType, TagType ></a>
|
|
</li>
|
|
<li>LogNegError()
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a217b11e4f2caa689b0498cb19113679b">mlpack::det::DTree< MatType, TagType ></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< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>LogVolume()
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#afdcb667b1efb8e87b05f506b0934d452">mlpack::det::DTree< MatType, TagType ></a>
|
|
</li>
|
|
<li>Lookup()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#a547c0ad1fba26f02d4fbfbd36cd9532b">mlpack::ann::Lookup< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>LovaszThetaSDP()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a0fbd10b732d4f1f5f9f5d6139f35bffd">mlpack::optimization::LovaszThetaSDP</a>
|
|
</li>
|
|
<li>LowerBound()
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansStatistic.html#a8e806c1047b6f78a8a9705602eda83d8">mlpack::kmeans::DualTreeKMeansStatistic</a>
|
|
</li>
|
|
<li>LRSDP()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1LRSDP.html#a50ad9d6cffd72ef9a612738732048fd1">mlpack::optimization::LRSDP< SDPType ></a>
|
|
</li>
|
|
<li>LRSDPFunction()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a5386d80d2b56be9dc4dbabfb845eaaf6">mlpack::optimization::LRSDPFunction< SDPType ></a>
|
|
</li>
|
|
<li>LSHSearch()
|
|
: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a499b01e2439a996689ab924361358d18">mlpack::neighbor::LSHSearch< SortPolicy ></a>
|
|
</li>
|
|
<li>LSTM()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#ab159ecef80ae317863187f1d27b62184">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
</ul>
|
|
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