365 lines
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HTML
365 lines
25 KiB
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<div id="projectname">mlpack
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<li><a href="inherits.html"><span>Class Hierarchy</span></a></li>
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<li class="current"><a href="functions_vars.html"><span>Variables</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_vars.html#index_a"><span>a</span></a></li>
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<li><a href="functions_vars_b.html#index_b"><span>b</span></a></li>
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<li><a href="functions_vars_e.html#index_e"><span>e</span></a></li>
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<li><a href="functions_vars_f.html#index_f"><span>f</span></a></li>
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<li><a href="functions_vars_g.html#index_g"><span>g</span></a></li>
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<li><a href="functions_vars_h.html#index_h"><span>h</span></a></li>
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<li><a href="functions_vars_i.html#index_i"><span>i</span></a></li>
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<li><a href="functions_vars_k.html#index_k"><span>k</span></a></li>
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<li><a href="functions_vars_l.html#index_l"><span>l</span></a></li>
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<li class="current"><a href="functions_vars_m.html#index_m"><span>m</span></a></li>
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<li><a href="functions_vars_n.html#index_n"><span>n</span></a></li>
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<li><a href="functions_vars_o.html#index_o"><span>o</span></a></li>
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<li><a href="functions_vars_p.html#index_p"><span>p</span></a></li>
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<li><a href="functions_vars_q.html#index_q"><span>q</span></a></li>
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<li><a href="functions_vars_r.html#index_r"><span>r</span></a></li>
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<li><a href="functions_vars_s.html#index_s"><span>s</span></a></li>
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<li><a href="functions_vars_t.html#index_t"><span>t</span></a></li>
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<li><a href="functions_vars_u.html#index_u"><span>u</span></a></li>
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<li><a href="functions_vars_v.html#index_v"><span>v</span></a></li>
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<li><a href="functions_vars_w.html#index_w"><span>w</span></a></li>
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<li><a href="functions_vars_x.html#index_x"><span>x</span></a></li>
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<li><a href="functions_vars_y.html#index_y"><span>y</span></a></li>
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<li><a href="functions_vars_z.html#index_z"><span>z</span></a></li>
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<div class="contents">
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<h3><a class="anchor" id="index_m"></a>- m -</h3><ul>
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<li>m
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: <a class="el" href="classmlpack_1_1amf_1_1SVDCompleteIncrementalLearning_3_01arma_1_1sp__mat_01_4.html#acee992a8670137ca439d031e37ed4d60">mlpack::amf::SVDCompleteIncrementalLearning< arma::sp_mat ></a>
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, <a class="el" href="classmlpack_1_1matrix__completion_1_1MatrixCompletion.html#ab0177338a3308b55c52ec2972d93eeb1">mlpack::matrix_completion::MatrixCompletion</a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1DrusillaSelect.html#aeb5d9efdde464149de433529dc2b7742">mlpack::neighbor::DrusillaSelect< MatType ></a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1QDAFN.html#a40d4c085e6242566a3bc27c67abf8f10">mlpack::neighbor::QDAFN< MatType ></a>
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, <a class="el" href="classmlpack_1_1radical_1_1Radical.html#ae5b0f6a3b27aa27ab5a54626ba7924a7">mlpack::radical::Radical</a>
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</li>
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<li>majorityClass
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: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#ad7295c1e96ba6a145c3acfec2aa09ffa">mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType ></a>
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</li>
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<li>majorityProbability
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: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#a85132e63b14563edc7c86fb2b6c536df">mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType ></a>
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</li>
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<li>mappedValue
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: <a class="el" href="structmlpack_1_1util_1_1ParamData.html#a8cd658de534e93dd31b2848dc2d5acb6">mlpack::util::ParamData</a>
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</li>
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<li>mapper
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: <a class="el" href="classmlpack_1_1data_1_1Imputer.html#a98b9eea48d1fa4b682b4d84c9bd1da80">mlpack::data::Imputer< T, MapperType, StrategyType ></a>
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</li>
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<li>mappings
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: <a class="el" href="classmlpack_1_1adaboost_1_1AdaBoostModel.html#a27d1dfb8cb52433b70dd6d7bfd64239e">mlpack::adaboost::AdaBoostModel</a>
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</li>
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<li>maps
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: <a class="el" href="classmlpack_1_1data_1_1DatasetMapper.html#a3b360d6cbb89faf4574aa04d3632671e">mlpack::data::DatasetMapper< PolicyType ></a>
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</li>
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<li>mask
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: <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#a6b58f886ec784feee52a5327b4965892">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Dropout.html#ad142e7c29cdfbf1f29b90b713ba3211c">mlpack::ann::Dropout< InputDataType, OutputDataType ></a>
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</li>
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<li>matGram
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: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a050c73224837905fd46f959a489ab9f5">mlpack::regression::LARS</a>
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</li>
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<li>matGramInternal
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: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#adac1f76f33cdf09d5fa8e6d8f3d178aa">mlpack::regression::LARS</a>
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</li>
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<li>matUtriCholFactor
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: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a781e4048271f1d755fc2fa82019f3de7">mlpack::regression::LARS</a>
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</li>
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<li>maxIterations
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: <a class="el" href="classmlpack_1_1amf_1_1MaxIterationTermination.html#aef8a1de14b1d30ac6dcc2df5bb6ec970">mlpack::amf::MaxIterationTermination</a>
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, <a class="el" href="classmlpack_1_1amf_1_1SimpleResidueTermination.html#aa96d175ee3cdbb09e2d98e09ad9fd0e2">mlpack::amf::SimpleResidueTermination</a>
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, <a class="el" href="classmlpack_1_1amf_1_1SimpleToleranceTermination.html#aeb7869091777f40c596921150c3160ee">mlpack::amf::SimpleToleranceTermination< MatType ></a>
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, <a class="el" href="classmlpack_1_1amf_1_1ValidationRMSETermination.html#ae7ab2e014d372e9156af93ad38b68629">mlpack::amf::ValidationRMSETermination< MatType ></a>
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, <a class="el" href="classmlpack_1_1gmm_1_1EMFit.html#a7cec14ec7765af815fe30e3899c6812c">mlpack::gmm::EMFit< InitialClusteringType, CovarianceConstraintPolicy ></a>
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, <a class="el" href="classmlpack_1_1kmeans_1_1KMeans.html#a6266e8621059f1c9c7069de2eec231d2">mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType ></a>
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, <a class="el" href="classmlpack_1_1lcc_1_1LocalCoordinateCoding.html#a32c30877cc77b8f7d73e7359cf310ead">mlpack::lcc::LocalCoordinateCoding</a>
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, <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#ad84529171961bfad9b63e9c0bf76384f">mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#a57d20d8ef11d20b0b064dfc0651f62c4">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1Adam.html#aa787186bf9e208864c265f771b142450">mlpack::optimization::Adam< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1GradientDescent.html#a7bf45f14dbde579be1c4ecb934d2984f">mlpack::optimization::GradientDescent< FunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#aadae4ce105073ad958afdf2f463ae627">mlpack::optimization::L_BFGS< FunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#ad88647ff30103350ba0ac296e965993d">mlpack::optimization::MiniBatchSGD< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1PrimalDualSolver.html#ac0ed7292934a8ad2f112de797664aa0f">mlpack::optimization::PrimalDualSolver< SDPType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#a2d00dfa1fc0e2381fd9a99977af4d625">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a169f1210650ef941c1365278612a4b61">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1SGD.html#a889407ceed9b4cae88f0d6d668f8c8e4">mlpack::optimization::SGD< DecomposableFunctionType, UpdatePolicy ></a>
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, <a class="el" href="classmlpack_1_1pca_1_1RandomizedSVDPolicy.html#a9a0240b2aed91888c72e1b0331bab409">mlpack::pca::RandomizedSVDPolicy</a>
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, <a class="el" href="classmlpack_1_1perceptron_1_1Perceptron.html#a90dd2a9867c1207586549026b6d6d928">mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType ></a>
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, <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#ac2e86cbe516dc6c8a66541853e7c8e2f">mlpack::sparse_coding::SparseCoding</a>
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, <a class="el" href="classmlpack_1_1svd_1_1RandomizedSVD.html#ab80fc947e7ce20772539bebae51bc884">mlpack::svd::RandomizedSVD</a>
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</li>
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<li>maxLeafSize
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: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a9a4d4d1380b2ffc837798cf099af45a1">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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</li>
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<li>maxLineSearchTrials
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: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a70903febd714374b31cdb1a4fd5568fc">mlpack::optimization::L_BFGS< FunctionType ></a>
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</li>
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<li>maxMove
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: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#ab01cb1116e883d40eda68c968740a9be">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
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</li>
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<li>maxNeighborDistance
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: <a class="el" href="classmlpack_1_1emst_1_1DTBStat.html#aaff491401534543996a95ee9a082f8f1">mlpack::emst::DTBStat</a>
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</li>
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<li>maxNumChildren
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: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a5ab211fb15c3bf9af62c394571011755">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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</li>
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<li>maxRange
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: <a class="el" href="classmlpack_1_1math_1_1ColumnsToBlocks.html#adc8ebf9c886366a78c2cc3914811d96c">mlpack::math::ColumnsToBlocks</a>
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</li>
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<li>maxSamples
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: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#a4b14b0df4fc515d8d92f058370ab6ba9">mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType ></a>
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</li>
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<li>maxStep
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: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#acbe7b76e61c6e5fbf2aedf7cd0c2f0ac">mlpack::optimization::L_BFGS< FunctionType ></a>
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</li>
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<li>maxToleranceSweep
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: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#afa4dd0d6bfc54e5075c5a08cf41a4312">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
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</li>
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<li>maxVals
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: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a34c82cdec2b2c0dae7cfe065fd4863ce">mlpack::det::DTree< MatType, TagType ></a>
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</li>
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<li>maxValue
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: <a class="el" href="classmlpack_1_1ann_1_1HardTanH.html#ac6750d807f24c8e8091a3c2a1360c618">mlpack::ann::HardTanH< InputDataType, OutputDataType ></a>
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</li>
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<li>mean
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: <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a792a82012b34799267f3840bbb980470">mlpack::distribution::GaussianDistribution</a>
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, <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#a3e7efd65f6eb1cd156ba1b1562773b4b">mlpack::distribution::LaplaceDistribution</a>
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, <a class="el" href="structmlpack_1_1tree_1_1RPTreeMeanSplit_1_1SplitInfo.html#a0e4c87c1eb2254001d4943b05ee858be">mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo</a>
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</li>
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<li>means
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: <a class="el" href="classmlpack_1_1naive__bayes_1_1NaiveBayesClassifier.html#af50fa618926013933a71f5185e4c829d">mlpack::naive_bayes::NaiveBayesClassifier< MatType ></a>
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</li>
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<li>meanSplit
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: <a class="el" href="structmlpack_1_1tree_1_1RPTreeMeanSplit_1_1SplitInfo.html#ae8a24f7008e00f0c156da3054778b0b5">mlpack::tree::RPTreeMeanSplit< BoundType, MatType >::SplitInfo</a>
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</li>
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<li>mergeModule
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: <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a5305b9f3ee303647d2be697b260de258">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#ad351382c3727ae0a77e78d6f99f734f5">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
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</li>
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<li>metric
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: <a class="el" href="classmlpack_1_1bound_1_1BallBound.html#ade12f89129a3d9951fcb536cf518fbfa">mlpack::bound::BallBound< MetricType, VecType ></a>
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, <a class="el" href="classmlpack_1_1bound_1_1HollowBallBound.html#a6d226ee4dc714e8d10633868cfa859fb">mlpack::bound::HollowBallBound< TMetricType, ElemType ></a>
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, <a class="el" href="classmlpack_1_1emst_1_1DTBRules.html#a483bbc2777d7cb225ac1fea6cd4999a6">mlpack::emst::DTBRules< MetricType, TreeType ></a>
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, <a class="el" href="classmlpack_1_1emst_1_1DualTreeBoruvka.html#acb55e193272478f5aa9912efcea2e2b0">mlpack::emst::DualTreeBoruvka< MetricType, MatType, TreeType ></a>
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|
, <a class="el" href="classmlpack_1_1fastmks_1_1FastMKS.html#a2abc93f02e1c890b98938903efee4d90">mlpack::fastmks::FastMKS< KernelType, MatType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeans.html#ad258f124665eeb5e1e100e97fa471a96">mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#a673c12aa5ca76ba32659a8e71053f8d3">mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1ElkanKMeans.html#aad24b1baebcb04fa2250c7a0b4c8b574">mlpack::kmeans::ElkanKMeans< MetricType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1HamerlyKMeans.html#a82405ab7e7804d450f22e485be4d9115">mlpack::kmeans::HamerlyKMeans< MetricType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1KMeans.html#a1dfcaa33234c8334804840754d82927d">mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1NaiveKMeans.html#a14541b70d795b048b926c1205fe53aa5">mlpack::kmeans::NaiveKMeans< MetricType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1PellegMooreKMeans.html#a5d7bb81684c5baf941a373463dabcdf7">mlpack::kmeans::PellegMooreKMeans< MetricType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1PellegMooreKMeansRules.html#a1848681d1b45ba6ad2bc6d0db0360556">mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1nca_1_1NCA.html#a71324ff6da7977d717c7da5461b4a150">mlpack::nca::NCA< MetricType, OptimizerType ></a>
|
|
, <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#abb8345f6eaaebc416f8e57808785e034">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearch.html#aa68d8dd825fe1e2afe6ae76a3451f44a">mlpack::neighbor::NeighborSearch< SortPolicy, MetricType, MatType, TreeType, DualTreeTraversalType, SingleTreeTraversalType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a4770767f2dd420988ed4b6dcc8565749">mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1RASearch.html#a1be053d8441397ed562c44abf676edf7">mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1RASearchRules.html#a39a48dc48445713707688480328cc7d0">mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1range_1_1RangeSearch.html#a959ee6af1678c911f32b13471df05f85">mlpack::range::RangeSearch< MetricType, MatType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1range_1_1RangeSearchRules.html#a62fe0c6a07cd9ffbf4c0b351399b12cc">mlpack::range::RangeSearchRules< MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ae06af16ea4c191e6bf6b83b98d68446e">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#a4b4eb828f7492ebafa97a7991c04c315">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a22ca26e60a44923e44de1a233d504464">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
|
|
, <a class="el" href="structmlpack_1_1tree_1_1VantagePointSplit_1_1SplitInfo.html#a13c3b0562e80afc571af60a8cb2ddaa2">mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo</a>
|
|
</li>
|
|
<li>mH
|
|
: <a class="el" href="classmlpack_1_1amf_1_1SVDBatchLearning.html#a7b33197f276bf37458898c9b322f69c8">mlpack::amf::SVDBatchLearning</a>
|
|
</li>
|
|
<li>minClusterDistances
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1ElkanKMeans.html#a41a424de65f191f2283130a627e3854e">mlpack::kmeans::ElkanKMeans< MetricType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1HamerlyKMeans.html#a61fa7dc50ba2e189199366e178c1c323">mlpack::kmeans::HamerlyKMeans< MetricType, MatType ></a>
|
|
</li>
|
|
<li>minGradientNorm
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a70d0c0a53c4331dc1eb919824baa5643">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
</li>
|
|
<li>minimumBoundDistance
|
|
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#af1c6cf1c39d8f5fef58ad2b882f15b36">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a6709ead9cc97ea742b36d86a38ca56d0">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
|
|
</li>
|
|
<li>minLeafSize
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#ad4fe57fbb5e987113af700b474cb3317">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
</li>
|
|
<li>minNeighborDistance
|
|
: <a class="el" href="classmlpack_1_1emst_1_1DTBStat.html#aab78436dac6dc917bc6b25a024634ce9">mlpack::emst::DTBStat</a>
|
|
</li>
|
|
<li>minNumChildren
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a6e387b0a851a358294061a484cb6fa4c">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
</li>
|
|
<li>minPointIterate
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a3838e4e4811c1c607f5806d295a52aa4">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
</li>
|
|
<li>minPoints
|
|
: <a class="el" href="classmlpack_1_1dbscan_1_1DBSCAN.html#a7b5ed90af8fc7fad58d4a70edca60933">mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy ></a>
|
|
</li>
|
|
<li>minRange
|
|
: <a class="el" href="classmlpack_1_1math_1_1ColumnsToBlocks.html#a884c3da2bc4a8e384e44497dcdeea41f">mlpack::math::ColumnsToBlocks</a>
|
|
</li>
|
|
<li>minResidue
|
|
: <a class="el" href="classmlpack_1_1amf_1_1SimpleResidueTermination.html#a64bc2acd0f30cb82cecaee69a0ce55df">mlpack::amf::SimpleResidueTermination</a>
|
|
</li>
|
|
<li>minSamples
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTree.html#ab2d14a1b3688ffeb4a14f32505be3567">mlpack::tree::HoeffdingTree< FitnessFunction, NumericSplitType, CategoricalSplitType ></a>
|
|
</li>
|
|
<li>minStep
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#aa1ea6f4fe6d1842b14244c2621a5ca7f">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
</li>
|
|
<li>minVals
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a30a5012cf770793a9e6b963585a13400">mlpack::det::DTree< MatType, TagType ></a>
|
|
</li>
|
|
<li>minValue
|
|
: <a class="el" href="classmlpack_1_1ann_1_1HardTanH.html#a8f66963e6b68fd6949a9b4e3073790d1">mlpack::ann::HardTanH< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>minWidth
|
|
: <a class="el" href="classmlpack_1_1bound_1_1HRectBound.html#a5057297738a7dff66d599b1275977112">mlpack::bound::HRectBound< MetricType, ElemType ></a>
|
|
</li>
|
|
<li>missingSet
|
|
: <a class="el" href="classmlpack_1_1data_1_1MissingPolicy.html#a00021ac351541a1fd6815ba39011d104">mlpack::data::MissingPolicy</a>
|
|
</li>
|
|
<li>model
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Concat.html#a68adb5011879620855ad2dfa8c59cda8">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a96fd3b91841f5e45c19abd0ac3b49882">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>moduleInputParameter
|
|
: <a class="el" href="classmlpack_1_1ann_1_1ReinforceNormal.html#aad7ae895d9a3a622f3c9b721b9031a0e">mlpack::ann::ReinforceNormal< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>moduleOutputParameter
|
|
: <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#ab4f862c30e171f6653b643d5e6647a85">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a9e90e2c565468e9dcf33e305e04297fd">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>momentum
|
|
: <a class="el" href="classmlpack_1_1amf_1_1SVDBatchLearning.html#a634ccfb27e600ffc433223dcea8763a1">mlpack::amf::SVDBatchLearning</a>
|
|
</li>
|
|
<li>moveCtrlSweep
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a78a4dbd2f0d93e5ebdf65c2cf9006ab9">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
|
|
</li>
|
|
<li>moveSize
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a93f6721d1e636414a6f9602d4ebf6741">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
|
|
</li>
|
|
<li>mu
|
|
: <a class="el" href="structmlpack_1_1tree_1_1VantagePointSplit_1_1SplitInfo.html#a63001de625339c0797165eaed6eb54af">mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples >::SplitInfo</a>
|
|
</li>
|
|
<li>mW
|
|
: <a class="el" href="classmlpack_1_1amf_1_1SVDBatchLearning.html#ab3e822a4685a26878119a457386e981e">mlpack::amf::SVDBatchLearning</a>
|
|
</li>
|
|
</ul>
|
|
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