366 lines
25 KiB
HTML
366 lines
25 KiB
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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_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 class="current"><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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<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#a7528fa638ab92d112b8de53fb5bdb63b">mlpack::kernel::PSpectrumStringKernel</a>
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</li>
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<li>Pad()
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: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#af0a782583488ffaeee7f94fc296b267c">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
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</li>
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<li>PairComp()
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: <a class="el" href="classmlpack_1_1tree_1_1RStarTreeSplit.html#a51c9e803d9e110afa8d3b22095ace8da">mlpack::tree::RStarTreeSplit</a>
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, <a class="el" href="classmlpack_1_1tree_1_1XTreeSplit.html#a6f0b582083751ea0f583d7dcad0f1414">mlpack::tree::XTreeSplit</a>
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</li>
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<li>Parameters()
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: <a class="el" href="classmlpack_1_1ann_1_1Add.html#af64aacd561a0343444bd065da9050b84">mlpack::ann::Add< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Concat.html#a4bc2ecac17bfddd677d96a80c61424f3">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ac117ff98346fba857f0c3392f877f577">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#af9258122f43da3618c8e5bc37953da63">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a11dbfacb6026a8898625f0c69fd6f635">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Linear.html#a35bd05cafff459547ca52d5b29731148">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#ac47edbd080895802e27b959de04d7496">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#abff857dd6a0e5a44b475c2e0b88eacd1">mlpack::ann::Lookup< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#acd44436632956f422318a9e7d765bfd4">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#af8319d33d180cf6672618f9acf5fa577">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#abafe609d15a8d290a36dd00be63cdec5">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#aaebc417fc7f43c6648eea3f034e43456">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a481790a45dd3cf1441d08805de6e4e10">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a2c1353bbad54c7d62323407d8ffaffae">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a00ee499217ac66a1a339d9d506289f87">mlpack::distribution::RegressionDistribution</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a6029df537ed9b78ba2ce46af8473af84">mlpack::regression::LinearRegression</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#adbdf31a1aaaeb70dff7719cecd2eda03">mlpack::regression::LogisticRegression< MatType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#abbb2e08416cb7e0d44cc978121159f8f">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
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</li>
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<li>ParametersSetVisitor()
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: <a class="el" href="classmlpack_1_1ann_1_1ParametersSetVisitor.html#a6c6f7a7859609f78bc545726122f5691">mlpack::ann::ParametersSetVisitor</a>
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</li>
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<li>ParametersVisitor()
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: <a class="el" href="classmlpack_1_1ann_1_1ParametersVisitor.html#a1b56b312407cc62fe17d08aa6d3b26c1">mlpack::ann::ParametersVisitor</a>
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</li>
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<li>Parent()
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: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a37a33c6faab909c699cbb60aada9521f">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#ac91909960fc1e92cf083c073c5903c52">mlpack::tree::CosineTree</a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ad6c8c4015ce8cca967cc8984be46ee17">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#ac2e6342ed4556f5130e4e9b369af6aa2">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a639a7dd81cb7201a65060d9f95f0326b">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a181e38e78145b500e50cd34fb3d1fee5">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#ab0c4368a28681f0b9b6b8240cae9a85c">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#a4492862c990821516dd5b655fc0e0e53">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a5e7ae2e58272d84c8f708940de346ae0">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#a88dca3b346bc48c177d515674db42029">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#acdb0a74b9c08fda47fe42b03ab19de8a">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a87f0cf07d1074712d2aba5cb7efcfbd9">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a90011a35463b64ac7e11f53a1e1e3160">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>ParseCommandLine()
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: <a class="el" href="classmlpack_1_1CLI.html#a1033e1179084cef018a95c42740f662f">mlpack::CLI</a>
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</li>
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<li>Parser()
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: <a class="el" href="structmlpack_1_1data_1_1LoadCSV_1_1ElemParser.html#a8ab118fbbb58cfb97fa4896023c10eb1">mlpack::data::LoadCSV::ElemParser</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#a6b6845b04dfef81863cd2ca3f609d0d5">mlpack::kmeans::KMeans< MetricType, InitialPartitionPolicy, EmptyClusterPolicy, LloydStepType, MatType ></a>
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</li>
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<li>PartitionNode()
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: <a class="el" href="classmlpack_1_1tree_1_1RPlusTreeSplit.html#a3887af6c8c3331acd9391d7b46566da0">mlpack::tree::RPlusTreeSplit< SplitPolicyType, SweepType ></a>
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</li>
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<li>PCAType()
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: <a class="el" href="classmlpack_1_1pca_1_1PCAType.html#a551aaab2f584fe12a634fdba30519597">mlpack::pca::PCAType< DecompositionPolicy ></a>
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</li>
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<li>PellegMooreKMeans()
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: <a class="el" href="classmlpack_1_1kmeans_1_1PellegMooreKMeans.html#a30c827eb9caee16997e4a330ff8c224a">mlpack::kmeans::PellegMooreKMeans< MetricType, MatType ></a>
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</li>
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<li>PellegMooreKMeansRules()
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: <a class="el" href="classmlpack_1_1kmeans_1_1PellegMooreKMeansRules.html#ae67e4b33ff08e00e4f729fde863e6701">mlpack::kmeans::PellegMooreKMeansRules< MetricType, TreeType ></a>
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</li>
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<li>PellegMooreKMeansStatistic()
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: <a class="el" href="classmlpack_1_1kmeans_1_1PellegMooreKMeansStatistic.html#adb9314557be60bdcafa18fa314d3da87">mlpack::kmeans::PellegMooreKMeansStatistic</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#aedb68e69d98b83790dcf86d5ce0b898a">mlpack::kmeans::RefinedStart</a>
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</li>
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<li>Perceptron()
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: <a class="el" href="classmlpack_1_1perceptron_1_1Perceptron.html#aa6904022dacff89588d005d2a96e4384">mlpack::perceptron::Perceptron< LearnPolicy, WeightInitializationPolicy, MatType ></a>
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</li>
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<li>PerformAction()
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: <a class="el" href="classmlpack_1_1hmm_1_1HMMModel.html#aae27b5f8a0e7d63c2cd17e61453e270d">mlpack::hmm::HMMModel</a>
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</li>
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<li>PerformSplit()
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: <a class="el" href="classmlpack_1_1tree_1_1MeanSplit.html#acdc76446639adca9a0ba8c437d1a8ccb">mlpack::tree::MeanSplit< BoundType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1MidpointSplit.html#a66f6747fa959b473f7c0921b756080dc">mlpack::tree::MidpointSplit< BoundType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RPTreeMaxSplit.html#a42c68c131a828e4041c554060602968f">mlpack::tree::RPTreeMaxSplit< BoundType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RPTreeMeanSplit.html#a607b776dedc942ed988cf154c651745a">mlpack::tree::RPTreeMeanSplit< BoundType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1VantagePointSplit.html#a644371796bb46c502ccd903c451106c0">mlpack::tree::VantagePointSplit< BoundType, MatType, MaxNumSamples ></a>
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</li>
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<li>PerturbationExpand()
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: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#aa0534cdf7ea0bbdb607aa7bbdc0a1d19">mlpack::neighbor::LSHSearch< SortPolicy ></a>
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</li>
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<li>PerturbationScore()
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: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a300884ec85737aa4b202a34cf1c6738f">mlpack::neighbor::LSHSearch< SortPolicy ></a>
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</li>
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<li>PerturbationShift()
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: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a934d84eff8e9ae6135e2d61282cc46ee">mlpack::neighbor::LSHSearch< SortPolicy ></a>
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</li>
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<li>PerturbationValid()
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: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#ae546118148bf557acc91d927de5961b9">mlpack::neighbor::LSHSearch< SortPolicy ></a>
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</li>
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<li>Point()
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: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a6833a92874e6342fa3523fead08ec411">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#aaf6a77d1e77e4e18f30d3a099e805e0f">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#a20d1e0a047f46caabff14ccaec2ac1a8">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a81cead53d5ee80b3ec1b931e3156396f">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#aa12c57845c2f766d67c165f22d87758c">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a69f650191492eee6c5bd4c53d4fe6dd8">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
|
|
</li>
|
|
<li>Policy()
|
|
: <a class="el" href="classmlpack_1_1data_1_1DatasetMapper.html#abe9e4d581578543e9b4a991ed88a33d1">mlpack::data::DatasetMapper< PolicyType ></a>
|
|
</li>
|
|
<li>PolynomialKernel()
|
|
: <a class="el" href="classmlpack_1_1kernel_1_1PolynomialKernel.html#ab1d0cc8fa1c55acde37938c5223ebe0e">mlpack::kernel::PolynomialKernel</a>
|
|
</li>
|
|
<li>Pooling()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#af7f24539a245b71dd0937305e25b5247">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MaxPoolingRule.html#aaf45e3fb517c8f5e71919d51089c6b86">mlpack::ann::MaxPoolingRule</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanPooling.html#ac5f41704695b650d9b91ea12302ed8f3">mlpack::ann::MeanPooling< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanPoolingRule.html#a30281d754ab96d64e4ab1e176fd5604c">mlpack::ann::MeanPoolingRule</a>
|
|
</li>
|
|
<li>PoolingOperation()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#af8a7a669022a55bbc1d5e33988e6d309">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Precalculate()
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1MaxVarianceNewCluster.html#a8e3a01fd204f8c5a83260ef0e4f38def">mlpack::kmeans::MaxVarianceNewCluster</a>
|
|
, <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a436b90591cf003ba82b8a4953b7eadaf">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
|
|
</li>
|
|
<li>Predict()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#aa6e9105a74a9569d9248712ea2a70dc8">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#adb34b68774a0dc10af834584ab9d3787">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1cf_1_1CF.html#a7d0fa02c1159db7306c25ad699afbf65">mlpack::cf::CF</a>
|
|
, <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a8ccce41b87587054b321948c3d5111c8">mlpack::distribution::RegressionDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#a40e667a6b5508c6d7853d53454a9d590">mlpack::hmm::HMM< Distribution ></a>
|
|
, <a class="el" href="classmlpack_1_1hmm_1_1HMMRegression.html#a577783458d593dad59ac92fb7b3b266c">mlpack::hmm::HMMRegression</a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1LARS.html#ac817486e5524240cd13d8e4a7752242a">mlpack::regression::LARS</a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1LinearRegression.html#a46d05226eb0adfd86d623180abb0800d">mlpack::regression::LinearRegression</a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegression.html#a5f077a4a9130ff7e5905713c525e9f12">mlpack::regression::LogisticRegression< MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#ae7700132c466763bc4adf5d937979876">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
|
|
</li>
|
|
<li>Predictors()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#ab58c04750d406c3f3e3de5d8b3e65f7f">mlpack::regression::LogisticRegressionFunction< MatType ></a>
|
|
</li>
|
|
<li>PrefixedOutStream()
|
|
: <a class="el" href="classmlpack_1_1util_1_1PrefixedOutStream.html#a3d2746961bd5076c6c7bfc48543fa5f9">mlpack::util::PrefixedOutStream</a>
|
|
</li>
|
|
<li>PrefixIfNeeded()
|
|
: <a class="el" href="classmlpack_1_1util_1_1PrefixedOutStream.html#a4677358ae9c8ea5c26a67b08030292fd">mlpack::util::PrefixedOutStream</a>
|
|
</li>
|
|
<li>PReLU()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#a2a7f8e3cfa3667e8cfda7a63294afae3">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>PrimalDualSolver()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1PrimalDualSolver.html#a50ec9844e9223454f2a288ff356d1c18">mlpack::optimization::PrimalDualSolver< SDPType ></a>
|
|
</li>
|
|
<li>PrimalInfeasTol()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1PrimalDualSolver.html#a38bb0293d78d16834e907885d9db6e00">mlpack::optimization::PrimalDualSolver< SDPType ></a>
|
|
</li>
|
|
<li>PrintHelp()
|
|
: <a class="el" href="classmlpack_1_1CLI.html#a549e31f19f0b34f093b03679774c2e00">mlpack::CLI</a>
|
|
</li>
|
|
<li>PrintTimer()
|
|
: <a class="el" href="classmlpack_1_1Timers.html#ac2ce38b5d33023a661973e1635819ee6">mlpack::Timers</a>
|
|
</li>
|
|
<li>Probabilities()
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#ad178e80a5ad3cdd7e4e174f6964493d3">mlpack::distribution::DiscreteDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1naive__bayes_1_1NaiveBayesClassifier.html#a5f82b58bb155c60d6f35071e4535d727">mlpack::naive_bayes::NaiveBayesClassifier< MatType ></a>
|
|
</li>
|
|
<li>Probability()
|
|
: <a class="el" href="classmlpack_1_1distribution_1_1DiscreteDistribution.html#a6838b73184083eb322c84887c0e3f12e">mlpack::distribution::DiscreteDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1distribution_1_1GammaDistribution.html#a1721c59eebdddb1367d11d33bbaf28e2">mlpack::distribution::GammaDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a912e56bf26a1db38f8896ee25bfcc9ee">mlpack::distribution::GaussianDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1distribution_1_1LaplaceDistribution.html#acdfa14719772fee675dbe8b6726e110d">mlpack::distribution::LaplaceDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1distribution_1_1RegressionDistribution.html#a123eaa62908186bf9cc83c34311f2f61">mlpack::distribution::RegressionDistribution</a>
|
|
, <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#ac6e14ce071d6a315487e8cc01dde70d2">mlpack::gmm::GMM</a>
|
|
</li>
|
|
<li>ProcessPoint()
|
|
: <a class="el" href="classmlpack_1_1dbscan_1_1DBSCAN.html#a2fb7ebf28d845367dcbedbc8fd1a6a8a">mlpack::dbscan::DBSCAN< RangeSearchType, PointSelectionPolicy ></a>
|
|
</li>
|
|
<li>ProgramDoc()
|
|
: <a class="el" href="classmlpack_1_1util_1_1ProgramDoc.html#ad3fe389bdebe92d02997bdcee3f3651c">mlpack::util::ProgramDoc</a>
|
|
</li>
|
|
<li>Project()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1AxisParallelProjVector.html#a58cd6030271d2cd1998f47c74dd86ce5">mlpack::tree::AxisParallelProjVector</a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1HyperplaneBase.html#a1f1dc81716597f6383a744cd9ee22ce8">mlpack::tree::HyperplaneBase< BoundT, ProjVectorT ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1ProjVector.html#a69376a7b28ac68aa6b5ad5548641e4c4">mlpack::tree::ProjVector</a>
|
|
</li>
|
|
<li>ProjectDictionary()
|
|
: <a class="el" href="classmlpack_1_1sparse__coding_1_1SparseCoding.html#a893395402ca5da626cd262a41a28848c">mlpack::sparse_coding::SparseCoding</a>
|
|
</li>
|
|
<li>Projections()
|
|
: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a2f030442f07899615b2ca39b55bddc5e">mlpack::neighbor::LSHSearch< SortPolicy ></a>
|
|
</li>
|
|
<li>ProjVector()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1ProjVector.html#a79d0df701e62af526fdb974b1144b499">mlpack::tree::ProjVector</a>
|
|
</li>
|
|
<li>PruneAndUpdate()
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#afcbf4a869e492f6dad0a94d53c2fc213">mlpack::det::DTree< MatType, TagType ></a>
|
|
</li>
|
|
<li>Pruned()
|
|
: <a class="el" href="classmlpack_1_1kmeans_1_1DualTreeKMeansStatistic.html#a6e2ec452457ad60613de1ae86bbeded6">mlpack::kmeans::DualTreeKMeansStatistic</a>
|
|
</li>
|
|
<li>PruneFarSet()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a7b712e1c689cd76c80fad0f71efaad13">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
</li>
|
|
<li>PruneMap()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree_1_1DualTreeTraverser.html#a11d2774b81bdc447651b264fba31f683">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy >::DualTreeTraverser< RuleType ></a>
|
|
</li>
|
|
<li>PSpectrumStringKernel()
|
|
: <a class="el" href="classmlpack_1_1kernel_1_1PSpectrumStringKernel.html#ab3652e75c19385ab6db63129eb22981c">mlpack::kernel::PSpectrumStringKernel</a>
|
|
</li>
|
|
</ul>
|
|
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