285 lines
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HTML
285 lines
18 KiB
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<div id="projectname">mlpack
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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_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><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 class="current"><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_p"></a>- p -</h3><ul>
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<li>p
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: <a class="el" href="classmlpack_1_1kernel_1_1PSpectrumStringKernel.html#a9bbc2114463f5fe6e331fa5eebb3291c">mlpack::kernel::PSpectrumStringKernel</a>
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, <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a768e2c60c0f491e57d8a9d3e240f3c0f">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
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</li>
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<li>padH
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: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a82c26749edd6a44f4337d20a40ad391d">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
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</li>
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<li>padW
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: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a0d6dd4c3dc5ed18026d8ac23b69d71ed">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
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</li>
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<li>parameter
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: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a897b9e0746ead7ef8cb343f5708b1e73">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1LoadOutputParameterVisitor.html#a165d28e7c4fa48459a6fc6a8f368bae0">mlpack::ann::LoadOutputParameterVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#acb2363276833b041e9cc04efe3e6da7a">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1SaveOutputParameterVisitor.html#a46518bf0ab3e4fe3130b58983d3a3f69">mlpack::ann::SaveOutputParameterVisitor</a>
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</li>
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<li>parameters
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: <a class="el" href="classmlpack_1_1ann_1_1Concat.html#aab096ba10cc26f12c3b9a9ea510a80b1">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#a4549fa950dee8e640f29aa88b511ca38">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1ParametersSetVisitor.html#a71f20d7ed5f01e1282df9bb1087afec1">mlpack::ann::ParametersSetVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1ParametersVisitor.html#a2456c7b59d87a5e8c458d84aaab99771">mlpack::ann::ParametersVisitor</a>
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, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a4728732da585c24d992374d5af239d7a">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a590df1e786e3189b7e8c671fa7bc881c">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#ab3dc09dab01effaa408f06ec1a57ddf5">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1CLI.html#a2f07a60a407cfb4f53346a585af337b0">mlpack::CLI</a>
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, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoder.html#a806addcafdd2ee7740ba1dc235b03585">mlpack::nn::SparseAutoencoder< OptimizerType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a78cf4010260f1fb39df06c0e6f6c9184">mlpack::regression::LinearRegression</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#a172d4812aab0107bcce070040c411592">mlpack::regression::LogisticRegression< MatType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#adfea798694e3d7f89a6b19da02f0b44d">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
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</li>
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<li>parent
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: <a class="el" href="classmlpack_1_1emst_1_1UnionFind.html#ab989de421794b4bc4ab930bec5a2c40b">mlpack::emst::UnionFind</a>
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, <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a5d32df7d289d19f3ac067490633e3073">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#a37f0d9e5e0f12807f8ffc8f179d1d3ef">mlpack::tree::CosineTree</a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a47dad54f3d619550d5c9a4e077b3b32d">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a913f670e041d1fa24fb4a5955e315e73">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#aa16c4f6142b2b241139030dae4ccb923">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a5cd7de5c98bd88b4dfbee977e05c9c3b">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>parentDistance
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: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a5b75bc715e51a56b80b82303819035a1">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a0601970c11e745c323269e9782dfbf0e">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#afd5f136e4408f80d1c569196e7729588">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a4b76850f497a903d0c8454dba50ab22b">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a2d95d83df84b6171d1d757aab81930c2">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>partitioner
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: <a class="el" href="classmlpack_1_1kmeans_1_1KMeans.html#aac89d410ac613a9f845992af40d41483">mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType ></a>
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</li>
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<li>pBoost
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: <a class="el" href="classmlpack_1_1adaboost_1_1AdaBoostModel.html#ab9b538be8f32bc157a2107f26d02416c">mlpack::adaboost::AdaBoostModel</a>
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</li>
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<li>percentage
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: <a class="el" href="classmlpack_1_1kmeans_1_1RefinedStart.html#a12e904e46c1c8d2b38c9f4e4a2c95477">mlpack::kmeans::RefinedStart</a>
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</li>
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<li>perturbed
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: <a class="el" href="classmlpack_1_1radical_1_1Radical.html#a73abbb7691ed3022235b1b3694740fe7">mlpack::radical::Radical</a>
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</li>
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<li>point
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: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#abe65d8768e7599c6a5278cf35c78d97e">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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</li>
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<li>points
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: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a53fc36e4d4e4cfd057e08c1fc5dd0b4b">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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</li>
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<li>pointSelector
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: <a class="el" href="classmlpack_1_1dbscan_1_1DBSCAN.html#a20ad4ad8d5aa72869a1a677d18335119">mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy ></a>
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</li>
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<li>pointsIndex
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: <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#aeeb3ccd91792473d6dd696073487d273">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>policy
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: <a class="el" href="classmlpack_1_1data_1_1DatasetMapper.html#a379d553cfa7f8a9d02a6710a59677e4f">mlpack::data::DatasetMapper< PolicyType ></a>
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</li>
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<li>polynomial
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#a76a339985644e87f755bc0e276afa84a">mlpack::fastmks::FastMKSModel</a>
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</li>
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<li>pooling
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: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#aed172319995d65b61be45274a3826202">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#a2af9c7d48fbbb03d97fd23dabd686a39">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
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</li>
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<li>poolingIndices
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: <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#a9d98b3a8670d11a97f4c49b39e28605a">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
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</li>
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<li>Power
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: <a class="el" href="classmlpack_1_1metric_1_1LMetric.html#a069e1dc018315ab1eb5be08e153221c3">mlpack::metric::LMetric< TPower, TTakeRoot ></a>
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</li>
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<li>precalculated
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: <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a7bc17888d9ab1ce6920c72d85f618ff7">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
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</li>
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<li>predictors
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: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a7cec959386da1b5d36a6f8cd7f7dfa97">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#abb896f990996968bb7fed3d284e2b3e1">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a0b1bd72084ee29066c58b2d8b0bf84ce">mlpack::regression::LogisticRegressionFunction< MatType ></a>
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</li>
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<li>prefix
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: <a class="el" href="classmlpack_1_1util_1_1PrefixedOutStream.html#a33664a47377732ed8d5ca18e104eff5e">mlpack::util::PrefixedOutStream</a>
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</li>
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<li>prevCell
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: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a86ebbd068b4387774417c75cc46a04dd">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
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</li>
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<li>prevError
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: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a5bdbcd77fa0eaad986621c496ea93a10">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
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</li>
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<li>prevOutput
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: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#aeedae70452589c712dff922cc8856517">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
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</li>
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<li>primalInfeasTol
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: <a class="el" href="classmlpack_1_1optimization_1_1PrimalDualSolver.html#a69d0d89d4741fdc7068d58bcd21f0d60">mlpack::optimization::PrimalDualSolver< SDPType ></a>
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</li>
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<li>printFunction
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: <a class="el" href="structmlpack_1_1util_1_1ParamData.html#a1edcf1ce692b44d15278909ffcdd6430">mlpack::util::ParamData</a>
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</li>
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<li>probabilities
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: <a class="el" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a26bcf7b1af4d12c9cb7969af4fbe6b07">mlpack::distribution::DiscreteDistribution</a>
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, <a class="el" href="classmlpack_1_1naive__bayes_1_1NaiveBayesClassifier.html#abf6beeca22ee20c34d59f37b2591f052">mlpack::naive_bayes::NaiveBayesClassifier< MatType ></a>
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</li>
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<li>programName
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: <a class="el" href="classmlpack_1_1CLI.html#a11f647501dcca51fd44e695ea12c34e8">mlpack::CLI</a>
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|
, <a class="el" href="classmlpack_1_1util_1_1ProgramDoc.html#a3bc6af4a515a280ff1dcc2caec404327">mlpack::util::ProgramDoc</a>
|
|
</li>
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|
<li>projections
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|
: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#af28c150d1fbfe310cd7c04aecdff2c47">mlpack::neighbor::LSHSearch< SortPolicy ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1QDAFN.html#a1f5b2b242006709862080f92e46fb422">mlpack::neighbor::QDAFN< MatType ></a>
|
|
</li>
|
|
<li>projVect
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HyperplaneBase.html#ad2421ab2d6df1d92e1fe6fecf93f7151">mlpack::tree::HyperplaneBase< BoundT, ProjVectorT ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1ProjVector.html#a6dbd6d49ad4297767055230b6fcc2cfc">mlpack::tree::ProjVector</a>
|
|
</li>
|
|
<li>pruned
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansStatistic.html#a97aa9ca732b9abfebb898e4a0cfcc10a">mlpack::kmeans::DualTreeKMeansStatistic</a>
|
|
</li>
|
|
<li>prunedPoints
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeans.html#ad0e4d105c12361ec532a1ab877318a46">mlpack::kmeans::DualTreeKMeans< MetricType, MatType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansRules.html#a8f8a5c72f04d3a9effc30b007351ee19">mlpack::kmeans::DualTreeKMeansRules< MetricType, TreeType ></a>
|
|
</li>
|
|
</ul>
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</a> 1.8.11
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