455 lines
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455 lines
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<div id="projectname">mlpack
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 <span id="projectnumber">master</span>
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<li><a href="functions_v.html#index_v"><span>v</span></a></li>
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<li><a href="functions_y.html#index_y"><span>y</span></a></li>
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<li><a href="functions_z.html#index_z"><span>z</span></a></li>
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<li><a href="functions_0x7e.html#index_0x7e"><span>~</span></a></li>
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<div class="contents">
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<div class="textblock">Here is a list of all class members with links to the classes they belong to:</div>
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<h3><a class="anchor" id="index_f"></a>- f -</h3><ul>
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<li>FactorCovariance()
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: <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#a09657acc92f4f54c598a648e71137f56">mlpack::distribution::GaussianDistribution</a>
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</li>
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<li>factorizer
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: <a class="el" href="classmlpack_1_1cf_1_1SVDWrapper.html#abf7a62d5eddcef98f13c80321fae6866">mlpack::cf::SVDWrapper< Factorizer ></a>
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</li>
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<li>Factr()
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: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a394b0e64c6731991bebaa13ea0c8c39c">mlpack::optimization::L_BFGS< FunctionType ></a>
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</li>
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<li>factr
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: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#aa87a32c1444fd3dbffdb6d8d88f194fd">mlpack::optimization::L_BFGS< FunctionType ></a>
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</li>
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<li>FastMKS()
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKS.html#aedbfb860968483f4c90051866995892e">mlpack::fastmks::FastMKS< KernelType, MatType, TreeType ></a>
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</li>
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<li>FastMKSModel()
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#afb4a69a44e92d3fb2faa08e8643ba52c">mlpack::fastmks::FastMKSModel</a>
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</li>
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<li>FastMKSRules()
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSRules.html#a7bb64cd7e86c23f6dc2e006b3dcfeb2c">mlpack::fastmks::FastMKSRules< KernelType, TreeType ></a>
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</li>
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<li>FastMKSStat()
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSStat.html#a70498ffac0f6346735c0335ca3d71ce7">mlpack::fastmks::FastMKSStat</a>
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</li>
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<li>Fatal
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: <a class="el" href="classmlpack_1_1Log.html#a396b80849caab1ec8a856f9d06c31a1d">mlpack::Log</a>
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</li>
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<li>fatal
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: <a class="el" href="classmlpack_1_1util_1_1PrefixedOutStream.html#a62a30bc4572823d52263b1d07d516e71">mlpack::util::PrefixedOutStream</a>
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</li>
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<li>fatalIfOpenFail
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: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#a8a11c9e0906d6ec36776dcfd0732b3d6">mlpack::data::LoadCSV</a>
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</li>
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<li>FeatureSize()
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: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#abb105ab8417e765169e6e58bd1892d95">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#af33aac8a050be127b82f40ff60cf7981">mlpack::regression::SoftmaxRegressionFunction</a>
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</li>
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<li>feedbackModule
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: <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a54e420374e49a667649744aed9dab574">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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</li>
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<li>feedbackOutputParameter
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: <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a38d011511ac84cfaf3e254e2963bc0fd">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a7d007c1d41cc9894fcd45075f8815d26">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
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</li>
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<li>FFN()
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: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a6639df2b31755cfd50baa468125a5301">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
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</li>
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<li>file
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: <a class="el" href="structmlpack_1_1Backtrace_1_1Frames.html#aaa13a30c916c7d2dc69d9f4b41ea6150">mlpack::Backtrace::Frames</a>
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</li>
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<li>fileName
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: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#ac510e24026756943cf7466d34e2c1485">mlpack::data::LoadCSV</a>
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</li>
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<li>Filter()
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: <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#acca74c35fb8ac24b2c08bfd6b064a170">mlpack::hmm::HMM< Distribution ></a>
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, <a class="el" href="classmlpack_1_1hmm_1_1HMMRegression.html#a106bc8d5c186c2aee1bcfcf1437f632a">mlpack::hmm::HMMRegression</a>
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</li>
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<li>Find()
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: <a class="el" href="classmlpack_1_1emst_1_1UnionFind.html#add632a5cd5315f030e16511437c964e2">mlpack::emst::UnionFind</a>
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</li>
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<li>FindBucket()
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: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a2c8f4a15a0b4f7db80175e9bbbd76267">mlpack::det::DTree< MatType, TagType ></a>
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</li>
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<li>FindByBeginCount()
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: <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a57932b28735f7b1086b67dd5b9f6b904">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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</li>
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<li>FindCooperatingSiblings()
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: <a class="el" href="classmlpack_1_1tree_1_1HilbertRTreeSplit.html#a58c831e8d918028ce02c72c42504fed1">mlpack::tree::HilbertRTreeSplit< splitOrder ></a>
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</li>
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<li>FindSplit()
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: <a class="el" href="classmlpack_1_1det_1_1DTree.html#a625c6f821ed0acf1dcd5975e15127cd3">mlpack::det::DTree< MatType, TagType ></a>
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</li>
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<li>FirstArrayShim()
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: <a class="el" href="structmlpack_1_1data_1_1FirstArrayShim.html#a6881f6a692c5116c1318465cd8cca8c2">mlpack::data::FirstArrayShim< T ></a>
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</li>
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<li>firstBound
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchStat.html#ab555ed384690f47d9cbef7697c27b05c">mlpack::neighbor::NeighborSearchStat< SortPolicy ></a>
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</li>
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<li>FirstBound()
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: <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchStat.html#a9947fb2ce911f6cab5a60b246034e834">mlpack::neighbor::NeighborSearchStat< SortPolicy ></a>
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</li>
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<li>FirstLeafExact()
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: <a class="el" href="classmlpack_1_1neighbor_1_1RAModel.html#a158ebc68058cc98f073456ac3a51964c">mlpack::neighbor::RAModel< SortPolicy ></a>
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</li>
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<li>firstLeafExact
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: <a class="el" href="classmlpack_1_1neighbor_1_1RASearch.html#a35f9759c372e2b775b3fffb1e8134da2">mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType ></a>
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</li>
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<li>FirstLeafExact()
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: <a class="el" href="classmlpack_1_1neighbor_1_1RASearch.html#a41645e5ea9490ea5f07a4f2fb1c702e8">mlpack::neighbor::RASearch< SortPolicy, MetricType, MatType, TreeType ></a>
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</li>
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<li>firstLeafExact
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: <a class="el" href="classmlpack_1_1neighbor_1_1RASearchRules.html#aee9f688b1e22ffc6152f07598227f1af">mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType ></a>
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</li>
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<li>FirstNormalArrayShim()
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: <a class="el" href="structmlpack_1_1data_1_1FirstNormalArrayShim.html#a0107f29193bd5367b0e45cfd9159b0c9">mlpack::data::FirstNormalArrayShim< T ></a>
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</li>
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<li>FirstPointIsCentroid
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: <a class="el" href="classmlpack_1_1tree_1_1TreeTraits.html#a4751f17406c9202f3c0228e6307dd22f">mlpack::tree::TreeTraits< TreeType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01BinarySpaceTree_3_01MetricType_00_01StatisticType_00_01Mat267d3b8606ae92840ddcba6834055254.html#aa87caaf8ffc7d15e1d2a769049cef06f">mlpack::tree::TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::BallBound, SplitType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01BinarySpaceTree_3_01MetricType_00_01StatisticType_00_01Mat224e09bac64c8e2ee29120d72866c234.html#a069fef74cc3ccd5362972817bc8977bd">mlpack::tree::TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::CellBound, SplitType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01BinarySpaceTree_3_01MetricType_00_01StatisticType_00_01Mat5e47ac61d347b64f5768de253cdf2773.html#a21e02e6b9f30271eb36339d1ae3eac7a">mlpack::tree::TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, bound::HollowBallBound, SplitType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01BinarySpaceTree_3_01MetricType_00_01StatisticType_00_01Mat455d0165b2c85743977ec4c0a5dd95ca.html#a5b03b1a8e39b4b08261174cda1be5fea">mlpack::tree::TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMaxSplit > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01BinarySpaceTree_3_01MetricType_00_01StatisticType_00_01Mat83fa92e671856c0b52f8456f1beaf6c5.html#a50bbb3dfbbf22e66aa7d63efc0f27e32">mlpack::tree::TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, RPTreeMeanSplit > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01BinarySpaceTree_3_01MetricType_00_01StatisticType_00_01Matc82955fcc5e17376c7ac825c22d34930.html#a5bc6a876b48cd63b0ffceea31ae2e082">mlpack::tree::TreeTraits< BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01CoverTree_3_01MetricType_00_01StatisticType_00_01MatType_00_01RootPointPolicy_01_4_01_4.html#a14b78196569c0dfde0b9e22ff58fb7f7">mlpack::tree::TreeTraits< CoverTree< MetricType, StatisticType, MatType, RootPointPolicy > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01Octree_3_01MetricType_00_01StatisticType_00_01MatType_01_4_01_4.html#af6ad8ac41aaf1d063462c2ceb5745c8c">mlpack::tree::TreeTraits< Octree< MetricType, StatisticType, MatType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01RectangleTree_3_01MetricType_00_01StatisticType_00_01MatTyd3300c6b7e2f56d4c1027298545eb7bf.html#a3cbc5f765ab92d9183ea6f593bc90142">mlpack::tree::TreeTraits< RectangleTree< MetricType, StatisticType, MatType, RPlusTreeSplit< SplitPolicyType, SweepType >, DescentType, AuxiliaryInformationType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01RectangleTree_3_01MetricType_00_01StatisticType_00_01MatTy0686cbbcde9440cadacd80904499ea50.html#a3531948e12a70016c166806a79c12730">mlpack::tree::TreeTraits< RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType > ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1TreeTraits_3_01SpillTree_3_01MetricType_00_01StatisticType_00_01MatType_03c639ada9e7ec3c7879b4d5a2cf50982.html#a7cc23abaae4d8e7f540f98611c1c5d7b">mlpack::tree::TreeTraits< SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType > ></a>
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</li>
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<li>FirstShim()
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: <a class="el" href="structmlpack_1_1data_1_1FirstShim.html#a520c036ecce8ec824185acd8ea476f73">mlpack::data::FirstShim< T ></a>
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</li>
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<li>FitIntercept()
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: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#ae458fe0155bc5bcf7098baba03ad0c5c">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
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</li>
|
|
<li>fitIntercept
|
|
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegression.html#ae643ea6357151eb09f76e85d2e685f57">mlpack::regression::SoftmaxRegression< OptimizerType ></a>
|
|
</li>
|
|
<li>FitIntercept()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a2b8f1ae12cb6aed7031b1c532a6fbd6f">mlpack::regression::SoftmaxRegressionFunction</a>
|
|
</li>
|
|
<li>fitIntercept
|
|
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#aa1347374266670a5662bde98c7554b9f">mlpack::regression::SoftmaxRegressionFunction</a>
|
|
</li>
|
|
<li>floor
|
|
: <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#aa60637b2841ad3ad478efb290d6ae714">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanPooling.html#a792a4e16ed45d8a965304e2fb8335f9b">mlpack::ann::MeanPooling< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Fn()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1ELU.html#a32759ed2963e8fac0e4398ed13d5d451">mlpack::ann::ELU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1IdentityFunction.html#a590c98bbba9f73ef40c966613d7330a8">mlpack::ann::IdentityFunction</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LeakyReLU.html#a98d1d60d367a3c508e6fe8d8f7bc8fa1">mlpack::ann::LeakyReLU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LogisticFunction.html#af75b6672b3baf430bc58e712d0b1a82f">mlpack::ann::LogisticFunction</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#a3b2c0dca6b3c3b977bd6283114700f60">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RectifierFunction.html#a655a369c005a8eebc415b960423e04a2">mlpack::ann::RectifierFunction</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1SoftplusFunction.html#a534de86c72523226dbd21759dc7b05b7">mlpack::ann::SoftplusFunction</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1SoftsignFunction.html#a81f0bb62d6a0444d560381a08b040be1">mlpack::ann::SoftsignFunction</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1TanhFunction.html#a784c5c521e331c231f2b61e21e1b04f4">mlpack::ann::TanhFunction</a>
|
|
</li>
|
|
<li>forgetGateError
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#ae82a5d99d6886b73012148b1d8da3262">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>forgetGateModule
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a07ec127c5126f528be7f9a51c2407112">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Forward()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Add.html#a1868a22da042326568463c29604dcc73">mlpack::ann::Add< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1AddMerge.html#a8d19bdae842d4cb6004f199b8dc97d66">mlpack::ann::AddMerge< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1BaseLayer.html#a15c584d62049dd1c8b07c7d927d20e26">mlpack::ann::BaseLayer< ActivationFunction, InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Concat.html#ac916855f7b3ed4c2f6c0eb5adc157f07">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1ConcatPerformance.html#ab0ab1706b6ab36e4be8fdd22a7ccf15a">mlpack::ann::ConcatPerformance< OutputLayerType, InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Constant.html#ad73c7f323c82a05ae82b334641160f15">mlpack::ann::Constant< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a6290e21f1659a6c17b6dc96dd10b6e92">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#a512641afd252b5220ae8e77ddc3d9864">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Dropout.html#ab6ff9806bd5a53aad198f3ffd5535fe2">mlpack::ann::Dropout< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1ELU.html#a02d86a916e01e636b47e34a7f66b10a0">mlpack::ann::ELU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a74effb0ad89f09cfdf196288be826793">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#a2e6170328c55679c3f4a1a7c4fbe68f2">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1HardTanH.html#af870a425156d2ba92f6315d01204ee2f">mlpack::ann::HardTanH< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Join.html#ad05962d9c2d01068f1bfb4c1f939e8e9">mlpack::ann::Join< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LeakyReLU.html#a5d210205593bfa37c533d46c16d3a46d">mlpack::ann::LeakyReLU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Linear.html#a48374a974817b574a4ee7c4250451aba">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a61d847816547e978b14731b56e472e43">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LogSoftMax.html#aa40b34a04acb68a30821def8696900e2">mlpack::ann::LogSoftMax< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#ab91f3953a90d124b2219bab6b6f971c4">mlpack::ann::Lookup< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a4d31940edb8b0b4bab93e61458458629">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#a2e33b0b3755548dd0692120d020cc423">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanPooling.html#a610094e73e75b47e16084b060fa1ea1c">mlpack::ann::MeanPooling< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanSquaredError.html#ae5f183e5f0b7c045c7bf37af136d546f">mlpack::ann::MeanSquaredError< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MultiplyConstant.html#a28e13ea7502efee6a98813b41f558033">mlpack::ann::MultiplyConstant< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1NegativeLogLikelihood.html#aea19b229261ca8b91ae879318033f65d">mlpack::ann::NegativeLogLikelihood< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#acedd1877d81c33e03f5f09981099420e">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#ad215b6398e2a511a8634888e736354ff">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#aa7a3dfdfe84b6a15776f1c8257b4956a">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1ReinforceNormal.html#a5c7879b70cd36a09c7a863cea00e3a81">mlpack::ann::ReinforceNormal< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#ab908da54d633299a42b749b2ac3d4552">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Select.html#a686db513055c3ac709bd62108b69f5f1">mlpack::ann::Select< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a3eb471d921b4eb3ebda0c9c2b29fc2ae">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1VRClassReward.html#ae344608a478f662265f50da419740992">mlpack::ann::VRClassReward< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#a9f751f398d07b15c0da8b824d48f5eb1">mlpack::hmm::HMM< Distribution ></a>
|
|
, <a class="el" href="classmlpack_1_1hmm_1_1HMMRegression.html#a6f037a9bef339480de70685b500dd335">mlpack::hmm::HMMRegression</a>
|
|
</li>
|
|
<li>forwardStep
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a1ef95525567c5beb7ef690fb71790120">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#ae729ca9da4d409f3bbaa067482ad2aba">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a7eaf0aff785c43278adb77e11fc4141f">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>ForwardVisitor()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1ForwardVisitor.html#ad951b3981ed35357955413a847d9e10e">mlpack::ann::ForwardVisitor</a>
|
|
</li>
|
|
<li>frame
|
|
: <a class="el" href="classmlpack_1_1Backtrace.html#adb74af1e0158315968c249ba566eb70a">mlpack::Backtrace</a>
|
|
</li>
|
|
<li>frobNormSquared
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#aaec5d90fe58890259e4d1a6fd59ddcb2">mlpack::tree::CosineTree</a>
|
|
</li>
|
|
<li>FrobNormSquared()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#af6cce7142f25d1c83b4f0aad130bed4b">mlpack::tree::CosineTree</a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="structmlpack_1_1Backtrace_1_1Frames.html#a79bd9a26d56f2267b22da1638c4a0bde">mlpack::Backtrace::Frames</a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#ad0205451386948b4b9c09a4d3fed59ad">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#ab2803c3e4c5d6d2e67797c570d5a57cd">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AdaDelta.html#a0db4ce1195b7edbd8dea8e6746c6612f">mlpack::optimization::AdaDelta< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1Adam.html#af308f2c8a08bdfe130d0c6fd6a1f7b67">mlpack::optimization::Adam< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1Adam.html#a27a671448a1a2ed681ca31746686c3c8">mlpack::optimization::Adam< DecomposableFunctionType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#af34a54aaa33a2002d04e38d1581444fa">mlpack::optimization::AugLagrangian< LagrangianFunction ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangian.html#a12cd00a9fc80ceb26ccecd438ae1d3eb">mlpack::optimization::AugLagrangian< LagrangianFunction ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#acb6306bdf1e2c0316cf1b2038c75db53">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#ab4797b0f1d3ca6a13d45cc44e2c1783f">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1GradientDescent.html#a3850668f2220842895a6b1a3eb567259">mlpack::optimization::GradientDescent< FunctionType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1GradientDescent.html#a86773ecb5168d7cb08e36cda3d336b55">mlpack::optimization::GradientDescent< FunctionType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a01e4142d1905967a2dfa46fc2c21be14">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a08c4b9f04e368172c7f2268ba9f751b2">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a42bf0ea3949d58ad7ee167d09a9d8b80">mlpack::optimization::L_BFGS< FunctionType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LRSDP.html#a77a7aa7438631ae72cb226f3f2dbe43e">mlpack::optimization::LRSDP< SDPType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1LRSDP.html#a9b0cb82cf69c0698505175fe0555921e">mlpack::optimization::LRSDP< SDPType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a0140eedeab2cb8f7f2fb12f682d11840">mlpack::optimization::MiniBatchSGD< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1MiniBatchSGD.html#a35502af6b3f7732738e2caf8eb8fe96c">mlpack::optimization::MiniBatchSGD< DecomposableFunctionType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#af0fef5e1d19a3d7d4268b605e97a8e1a">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#a0f94dacbc6fe3e5cbfc091a9efabdbed">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1RMSprop.html#ad1145b70977db57ff330c0579c775360">mlpack::optimization::RMSprop< DecomposableFunctionType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#a63e3c83351af4bc9e7b53c45f0f26fb7">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#ae12e0bbacda10e3053623091f8cb1854">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
|
|
</li>
|
|
<li>function
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1SGD.html#aef0f79b5afaa007c4a39eacfaa4a2a86">mlpack::optimization::SGD< DecomposableFunctionType, UpdatePolicy ></a>
|
|
</li>
|
|
<li>Function()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1SGD.html#a2b3b65b0a14cdc9e7c66355d828f2c3f">mlpack::optimization::SGD< DecomposableFunctionType, UpdatePolicy ></a>
|
|
</li>
|
|
<li>FurthestDescendantDistance()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a610bf44c4a589238ccb3157076f01403">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
|
|
</li>
|
|
<li>furthestDescendantDistance
|
|
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a5ce6e105067f681d45ff65aaac388c90">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
|
|
</li>
|
|
<li>FurthestDescendantDistance()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a9d080b25267d41c1f9b30da0b477184a">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
</li>
|
|
<li>furthestDescendantDistance
|
|
: <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a290c1faf9cc9ae2357bec59a2f1502dc">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
</li>
|
|
<li>FurthestDescendantDistance()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1ExampleTree.html#ae470d95ccb6058f848cd8e6f94c21974">mlpack::tree::ExampleTree< MetricType, StatisticType, MatType ></a>
|
|
</li>
|
|
<li>furthestDescendantDistance
|
|
: <a class="el" href="classmlpack_1_1tree_1_1Octree.html#af4a54c76558087afdfc96f85e0e9cdcd">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
|
|
</li>
|
|
<li>FurthestDescendantDistance()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a772c46a747904c85ca2b0633ccc77a80">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a9167b61658fe7275729a57bc362e9afc">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#af64b2b9ca6117b3cf89c41a80b278532">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
|
|
</li>
|
|
<li>furthestDescendantDistance
|
|
: <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a40ba4713f1d2a6feae5ffda01e9cf134">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
|
|
</li>
|
|
<li>FurthestPointDistance()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#aa42c0fa0301656c00edec02e1c5a30fb">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#ab198744571bcb2258d2c30bd32be0f60">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a2a8b0ef28440c3c991c33240ad0716bb">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a682b5d82004edc054aa4461f95df33c4">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#acfbe3ee7cd1b1b77a6b4291d473059e8">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</a> 1.8.11
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