536 lines
35 KiB
HTML
536 lines
35 KiB
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<div id="projectname">mlpack
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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_g"></a>- g -</h3><ul>
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<li>gain
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: <a class="el" href="classmlpack_1_1ann_1_1OrthogonalInitialization.html#a6b32b7277ba88842fd05a85e8f2a43cb">mlpack::ann::OrthogonalInitialization</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1SA.html#ae42e1095aa711a40246f7650a731b5fd">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
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</li>
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<li>Gain()
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: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#ad33516557c8fd42cb684cfb8a032232f">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
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</li>
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<li>gamma
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: <a class="el" href="classmlpack_1_1ann_1_1OivsInitialization.html#a376fbe1165b74f8f883710dfff73ca27">mlpack::ann::OivsInitialization< ActivationFunction ></a>
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, <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#a7f019a726e3dca20edb7721ad994fe6a">mlpack::kernel::GaussianKernel</a>
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</li>
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<li>Gamma()
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: <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#a7dd6194dab1f6d6562ac0be4fa00fcae">mlpack::kernel::GaussianKernel</a>
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</li>
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<li>GammaDistribution()
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: <a class="el" href="classmlpack_1_1distribution_1_1GammaDistribution.html#a84cc247cd4c782eae19acdc0ead6ee59">mlpack::distribution::GammaDistribution</a>
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</li>
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<li>gaussian
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#a74caea7b5cd906f093c1a578f77b4118">mlpack::fastmks::FastMKSModel</a>
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</li>
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<li>GAUSSIAN_KERNEL
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: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSModel.html#a668603530129fd3d20e964ed52965d6aa2c0451a3d4d6971ae6319ec588361d73">mlpack::fastmks::FastMKSModel</a>
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</li>
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<li>GaussianDistribution()
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: <a class="el" href="classmlpack_1_1distribution_1_1GaussianDistribution.html#ac73762f8e0e8cfbde9c8646ef0c2a5c0">mlpack::distribution::GaussianDistribution</a>
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</li>
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<li>gaussianHMM
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: <a class="el" href="classmlpack_1_1hmm_1_1HMMModel.html#add463d9deb67453349829bcd2541fb8b">mlpack::hmm::HMMModel</a>
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</li>
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<li>GaussianKernel()
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: <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#a1982249e5fbb7e4b94ae88f1e0218303">mlpack::kernel::GaussianKernel</a>
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</li>
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<li>gaussians
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: <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#aa56ad9ae3ab3239bb4eeca657800e39c">mlpack::gmm::GMM</a>
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</li>
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<li>Gaussians()
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: <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#a8efcb0139531931d570de77328297846">mlpack::gmm::GMM</a>
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</li>
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<li>GDTestFunction()
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: <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GDTestFunction.html#a2b2cfa54b72e865d197c821823bb6f0a">mlpack::optimization::test::GDTestFunction</a>
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</li>
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<li>GeneralizedRosenbrockFunction()
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: <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GeneralizedRosenbrockFunction.html#a725d0a65a65da7393c20cf18f70fe21f">mlpack::optimization::test::GeneralizedRosenbrockFunction</a>
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</li>
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<li>Generate()
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: <a class="el" href="classmlpack_1_1hmm_1_1HMM.html#a4716c89b2a2a064de6ed46f102de7d31">mlpack::hmm::HMM< Distribution ></a>
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</li>
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<li>GenerateMove()
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: <a class="el" href="classmlpack_1_1optimization_1_1SA.html#aa775231810898c9e26d04a6645bda66d">mlpack::optimization::SA< FunctionType, CoolingScheduleType ></a>
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</li>
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<li>GenSeeds()
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: <a class="el" href="classmlpack_1_1meanshift_1_1MeanShift.html#a49525d3a9a710c8e0329ba7f77d19d64">mlpack::meanshift::MeanShift< UseKernel, KernelType, MatType ></a>
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</li>
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<li>Get()
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: <a class="el" href="classmlpack_1_1Timer.html#a4b466dbe808596eb15e3d232e9148067">mlpack::Timer</a>
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</li>
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<li>GetAdditionalProbingBins()
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: <a class="el" href="classmlpack_1_1neighbor_1_1LSHSearch.html#a570a4704f9ad01a79231e74dfa6364ba">mlpack::neighbor::LSHSearch< SortPolicy ></a>
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</li>
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<li>GetAddress()
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: <a class="el" href="classmlpack_1_1Backtrace.html#ad3a35e77ea697f8856b1b7cf79734df1">mlpack::Backtrace</a>
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</li>
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<li>GetAllTimers()
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: <a class="el" href="classmlpack_1_1Timers.html#a9a6d2c873df17ae6d668adee5dc1b30d">mlpack::Timers</a>
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</li>
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<li>GetAveragePointDistance()
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: <a class="el" href="classmlpack_1_1tree_1_1RPTreeMeanSplit.html#a9964aa41b1f644cd2b74cb2029ed1439">mlpack::tree::RPTreeMeanSplit< BoundType, MatType ></a>
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</li>
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<li>GetBestChild()
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: <a class="el" href="classmlpack_1_1neighbor_1_1FurthestNeighborSort.html#a6c342c104ea5a45133336f62393e50b8">mlpack::neighbor::FurthestNeighborSort</a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1NearestNeighborSort.html#a31bd4942adf8b19708e561bcaaf7411b">mlpack::neighbor::NearestNeighborSort</a>
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, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a3b5b535ffedd44c556f14e6dc263fae2">mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType ></a>
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</li>
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<li>GetBoundSeeds()
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: <a class="el" href="classmlpack_1_1tree_1_1RTreeSplit.html#a21212b1bc658182aeec9b4cc757eac7a">mlpack::tree::RTreeSplit</a>
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</li>
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<li>GetDataset()
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: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#a72bfd69dddb5522e514b55134e552ee7">mlpack::tree::CosineTree</a>
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</li>
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<li>GetDotMedian()
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: <a class="el" href="classmlpack_1_1tree_1_1RPTreeMeanSplit.html#a0a7379912ceed7e01610b87ad0a90f22">mlpack::tree::RPTreeMeanSplit< BoundType, MatType ></a>
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</li>
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<li>GetFinalBasis()
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: <a class="el" href="classmlpack_1_1tree_1_1CosineTree.html#a047e7e10072a9d88b0cfc2c0bc1b059c">mlpack::tree::CosineTree</a>
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</li>
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<li>GetFurthestChild()
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: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a5d19406a1d846dbb17b602e4bc484c18">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#a3d8a884391b492c4f774d81c0ee665ba">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#ada7c73a40412e85f448542f7facc7bb3">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#a3a2a125a31a15ddaedd6971377a3786c">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
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, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a7d748e559c8ac083cd5803a0aaffc354">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
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</li>
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<li>GetGroundTruthMatrix()
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: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#aff612342ba94ce27464f9b094b27d9e9">mlpack::regression::SoftmaxRegressionFunction</a>
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</li>
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<li>GetInitialPoint()
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: <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a46a4bfef990e09a9e44d63750386829b">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
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, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#aeef74bf38bfdb6cb48f6f182f4918d60">mlpack::nn::SparseAutoencoderFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#a5f40253bac9682d0ed3303cb36b4c030">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#a360d90e3af11cb754e692617af22c672">mlpack::optimization::AugLagrangianTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#a78a73d4f39a7ff163de0167de3efa843">mlpack::optimization::GockenbachFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a189124c3dd99dc0660d614f76215b268">mlpack::optimization::LovaszThetaSDP</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#afc62e1ab6797fad16057d45d81813323">mlpack::optimization::LRSDPFunction< SDPType ></a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GDTestFunction.html#a62b5ec1dc6b97aed6820a9272b4de70b">mlpack::optimization::test::GDTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GeneralizedRosenbrockFunction.html#a8202316f2edc609e3b4b81497a5a4659">mlpack::optimization::test::GeneralizedRosenbrockFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockFunction.html#a772b848654824123f1b1d4518d4917d5">mlpack::optimization::test::RosenbrockFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockWoodFunction.html#a28fe8d39b1bf6879c886206a80e7dba5">mlpack::optimization::test::RosenbrockWoodFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1SGDTestFunction.html#a7b3556383a28d12564366b6637160d79">mlpack::optimization::test::SGDTestFunction</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1WoodFunction.html#a6c1ec7a0904070878e25068689db26ae">mlpack::optimization::test::WoodFunction</a>
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, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#a5bd42c32840e753c1e59a9531356d710">mlpack::regression::LogisticRegressionFunction< MatType ></a>
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, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#ab380449ee1fef938ff483abf91c88b2d">mlpack::regression::SoftmaxRegressionFunction</a>
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, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#a0ed69b68ba0ffbcc3175f2b18f1c9fbd">mlpack::svd::RegularizedSVDFunction</a>
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</li>
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<li>GetKernelMatrix()
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: <a class="el" href="classmlpack_1_1kernel_1_1NystroemMethod.html#a463658ec4d82568efd51745bbad63c95">mlpack::kernel::NystroemMethod< KernelType, PointSelectionPolicy ></a>
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</li>
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<li>GetMatrixSize()
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: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#ad52ba08f12e45c089aaeb53017a16168">mlpack::data::LoadCSV</a>
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</li>
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<li>GetMeanMedian()
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: <a class="el" href="classmlpack_1_1tree_1_1RPTreeMeanSplit.html#afd654454669cd2df0078939e90803dc8">mlpack::tree::RPTreeMeanSplit< BoundType, MatType ></a>
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</li>
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<li>GetNearestChild()
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: <a class="el" href="classmlpack_1_1tree_1_1BinarySpaceTree.html#a86588b2410e73642bec20531d73a1e04">mlpack::tree::BinarySpaceTree< MetricType, StatisticType, MatType, BoundType, SplitType ></a>
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|
, <a class="el" href="classmlpack_1_1tree_1_1CoverTree.html#abf42b5bd15362b7f18d3b61958851826">mlpack::tree::CoverTree< MetricType, StatisticType, MatType, RootPointPolicy ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1Octree.html#a8ea304ec71d2a2bc5b00027582f640f6">mlpack::tree::Octree< MetricType, StatisticType, MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1RectangleTree.html#ae4bfcbfaf0683284513179c04b60f975">mlpack::tree::RectangleTree< MetricType, StatisticType, MatType, SplitType, DescentType, AuxiliaryInformationType ></a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1SpillTree.html#a66015f3c1d1c981b38baee9867e05330">mlpack::tree::SpillTree< MetricType, StatisticType, MatType, HyperplaneType, SplitType ></a>
|
|
</li>
|
|
<li>GetNewFeatures()
|
|
: <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoder.html#acf0c2f96e5c9d062c2172166fe3f97de">mlpack::nn::SparseAutoencoder< OptimizerType ></a>
|
|
</li>
|
|
<li>GetParam()
|
|
: <a class="el" href="classmlpack_1_1CLI.html#ad5ba2689bb15a8f609fc51c27a3f7637">mlpack::CLI</a>
|
|
</li>
|
|
<li>GetPointSeeds()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RTreeSplit.html#a7d0055fab51c46c80c1bd4f78f9abdb3">mlpack::tree::RTreeSplit</a>
|
|
</li>
|
|
<li>GetProbabilitiesMatrix()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a8e5db78a1d8bdcd2fd34bba2a119a6ec">mlpack::regression::SoftmaxRegressionFunction</a>
|
|
</li>
|
|
<li>GetProjVector()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1SpaceSplit.html#ad996dd0d8808304ebbaf8f489e6610e7">mlpack::tree::SpaceSplit< MetricType, MatType ></a>
|
|
</li>
|
|
<li>GetRawParam()
|
|
: <a class="el" href="classmlpack_1_1CLI.html#a145d1c2bf2b158e8f4405a602715ca8b">mlpack::CLI</a>
|
|
</li>
|
|
<li>GetRecommendations()
|
|
: <a class="el" href="classmlpack_1_1cf_1_1CF.html#a750e80f81b8361cfdd713e1179e9e952">mlpack::cf::CF</a>
|
|
</li>
|
|
<li>GetResults()
|
|
: <a class="el" href="classmlpack_1_1fastmks_1_1FastMKSRules.html#a5e7db1d03361a69e82ca142789fffa52">mlpack::fastmks::FastMKSRules< KernelType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1NeighborSearchRules.html#a2133fdf1f3fbdc8c164207991ef608b8">mlpack::neighbor::NeighborSearchRules< SortPolicy, MetricType, TreeType ></a>
|
|
, <a class="el" href="classmlpack_1_1neighbor_1_1RASearchRules.html#a6af20ef141ce3e6b32a08d3a18e99889">mlpack::neighbor::RASearchRules< SortPolicy, MetricType, TreeType ></a>
|
|
</li>
|
|
<li>GetSingleton()
|
|
: <a class="el" href="classmlpack_1_1CLI.html#a69e68116871214c7d98bcbfedc3cde2d">mlpack::CLI</a>
|
|
</li>
|
|
<li>GetSplitPolicy()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RPlusPlusTreeSplitPolicy.html#a265f15b1d42a885ec28ba1f9ad74e260">mlpack::tree::RPlusPlusTreeSplitPolicy</a>
|
|
, <a class="el" href="classmlpack_1_1tree_1_1RPlusTreeSplitPolicy.html#ab542e839404ff21343fcdc1edcdc3a5c">mlpack::tree::RPlusTreeSplitPolicy</a>
|
|
</li>
|
|
<li>GetSplitVal()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1RPTreeMaxSplit.html#ae85b2eb2c1de3c4364e7f92a535d4aa4">mlpack::tree::RPTreeMaxSplit< BoundType, MatType ></a>
|
|
</li>
|
|
<li>GetState()
|
|
: <a class="el" href="classmlpack_1_1Timers.html#ac1c24b8e9d02053ad7f6c0657358625f">mlpack::Timers</a>
|
|
</li>
|
|
<li>GetTime()
|
|
: <a class="el" href="classmlpack_1_1Timers.html#a473aa6ff734a00ec20cd9f29ea3a64d1">mlpack::Timers</a>
|
|
</li>
|
|
<li>GetTimer()
|
|
: <a class="el" href="classmlpack_1_1Timers.html#a312665f7003f1020f48e844ccbbf2e0c">mlpack::Timers</a>
|
|
</li>
|
|
<li>GetTransposeMatrixSize()
|
|
: <a class="el" href="classmlpack_1_1data_1_1LoadCSV.html#ada3323a7ca0ec5f955fb26ab10d05f5d">mlpack::data::LoadCSV</a>
|
|
</li>
|
|
<li>GetUnmappedParam()
|
|
: <a class="el" href="classmlpack_1_1CLI.html#a619b5c9337a4a622739b1d845a727db3">mlpack::CLI</a>
|
|
</li>
|
|
<li>GINI_BINARY
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTreeModel.html#ad7a5b513f01fee699b545686b5fed500ad0a0e15a5b6e00a0b7ac22785a30398e">mlpack::tree::HoeffdingTreeModel</a>
|
|
</li>
|
|
<li>GINI_HOEFFDING
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTreeModel.html#ad7a5b513f01fee699b545686b5fed500a60dcc79ce1b3fbb1d3b8f6096fcb310a">mlpack::tree::HoeffdingTreeModel</a>
|
|
</li>
|
|
<li>giniBinaryTree
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTreeModel.html#adbebc8f36de2a9fcdc4c9b86343c8264">mlpack::tree::HoeffdingTreeModel</a>
|
|
</li>
|
|
<li>GiniBinaryTreeType
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTreeModel.html#aa7266b045d09aa8f036df5db31495445">mlpack::tree::HoeffdingTreeModel</a>
|
|
</li>
|
|
<li>giniHoeffdingTree
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTreeModel.html#a123c95574967ac5a081e570def2fd5a8">mlpack::tree::HoeffdingTreeModel</a>
|
|
</li>
|
|
<li>GiniHoeffdingTreeType
|
|
: <a class="el" href="classmlpack_1_1tree_1_1HoeffdingTreeModel.html#aa34a313eef873151ebad30a6b4524c1a">mlpack::tree::HoeffdingTreeModel</a>
|
|
</li>
|
|
<li>GivenInitialization()
|
|
: <a class="el" href="classmlpack_1_1amf_1_1GivenInitialization.html#aa7ffbd014ade54c1be4803fcc472c59d">mlpack::amf::GivenInitialization</a>
|
|
</li>
|
|
<li>GivensRotate()
|
|
: <a class="el" href="classmlpack_1_1regression_1_1LARS.html#a8e661e364db8957375c2f0d6f6b436cb">mlpack::regression::LARS</a>
|
|
</li>
|
|
<li>Glimpse()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#a792448207d3d42687596b944fe988afa">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>GMM()
|
|
: <a class="el" href="classmlpack_1_1gmm_1_1GMM.html#af13b579d8aca40510534154aa3e57c98">mlpack::gmm::GMM</a>
|
|
</li>
|
|
<li>gmmHMM
|
|
: <a class="el" href="classmlpack_1_1hmm_1_1HMMModel.html#a9a68b2be57c3a2439deeef60b92d84d7">mlpack::hmm::HMMModel</a>
|
|
</li>
|
|
<li>GockenbachFunction()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#aaad2388dd86d0591d5eadcdfc0f18c2f">mlpack::optimization::GockenbachFunction</a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Add.html#ad48df09ca41a4f0b63b5b3c5c0c594fa">mlpack::ann::Add< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Add.html#a923780045584f534008129ef9ca0df20">mlpack::ann::Add< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Concat.html#ac4cb53c95c2f9ab9d79b5551010d84b9">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Concat.html#ad476c2405497fcd78c8e8c17397ee219">mlpack::ann::Concat< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#ad45c42673ebd2c1a8f471b267502a2d3">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#aac575be6fc69cfee9ad0f1ad45299f80">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#abf3f2c5a0e215e73042c55a679029fa0">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1DropConnect.html#a3b163a2e564fd70b8c0b890f458ae00f">mlpack::ann::DropConnect< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#a8536a112302755d1acedb61ccaa25c89">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1FFN.html#af69e291c0a92a467e46f9a2e624e313f">mlpack::ann::FFN< OutputLayerType, InitializationRuleType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1GradientSetVisitor.html#affa05389932f2659d518d0441f7f680b">mlpack::ann::GradientSetVisitor</a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1GradientUpdateVisitor.html#a48397f0fb495f95cfc729169b57de47a">mlpack::ann::GradientUpdateVisitor</a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Linear.html#a5c86f0d2e8c8c29265574344c41a94d7">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Linear.html#aa1a600304ceebb15dd77bbed700bda19">mlpack::ann::Linear< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a1a5b7b530f1c23a07361d1f46fc97736">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a0886025ec27c5e1589cfa4b1eb997460">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LinearNoBias.html#a951be111b4ede2df8928c1109a7c7a44">mlpack::ann::LinearNoBias< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#a2d612f2c1e7b0d371872279a248c0144">mlpack::ann::Lookup< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Lookup.html#ab98e139b4621683d71dc8a1307e84582">mlpack::ann::Lookup< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#af94db32ee5e6115c645cb5ca958a32ef">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#a8c9e6a6ddd37632af4f666ff9ce0fa55">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#ab69738e9d15de9d81ed186c0fdcf2871">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanPooling.html#a0638e43a8316f869b916ed7d8b989b27">mlpack::ann::MeanPooling< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#afcf466240b4160f058198e7bc0946262">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#a1bdc66a0b4ec1dc6de9cacd9a64c440f">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1PReLU.html#af134bb33bbefe67852dd718d6fef1429">mlpack::ann::PReLU< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a32944a55da03d7f5050121073e6169ae">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a88c832dd282cbe56a7426fa422f9f7db">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a2c0e2e07af58601c50749b1046d80973">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1RecurrentAttention.html#a8ad9522d1ae92f2b12e25af90b8e2adc">mlpack::ann::RecurrentAttention< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1RNN.html#a5bc5a562cce79dd1fa377f0d6e1ac090">mlpack::ann::RNN< OutputLayerType, InitializationRuleType ></a>
|
|
</li>
|
|
<li>gradient
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#a1ed6f255eaf62a481a07cfe9ff131797">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>Gradient()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Sequential.html#aaa13029c3c6bb9b813031468d6882d2b">mlpack::ann::Sequential< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1EpanechnikovKernel.html#a7e95a4cf9281c01d5eefb01e1a5dc3f0">mlpack::kernel::EpanechnikovKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#a5faea1b64eff5c1e0705d560e742e2f7">mlpack::kernel::GaussianKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1LaplacianKernel.html#ab529a71122f34974c5792cf0296b8755">mlpack::kernel::LaplacianKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1SphericalKernel.html#ae06037e9b5dbe050c652c2cea5d135c7">mlpack::kernel::SphericalKernel</a>
|
|
, <a class="el" href="classmlpack_1_1kernel_1_1TriangularKernel.html#a2e1f37d797b787cc6b587423d5deeb49">mlpack::kernel::TriangularKernel</a>
|
|
, <a class="el" href="classmlpack_1_1nca_1_1SoftmaxErrorFunction.html#a706948e7cba12f1840dc4c98cb7b1367">mlpack::nca::SoftmaxErrorFunction< MetricType ></a>
|
|
, <a class="el" href="classmlpack_1_1nn_1_1SparseAutoencoderFunction.html#ac9308a0b499a8754cd2efeca6e499992">mlpack::nn::SparseAutoencoderFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianFunction.html#ad2cfa503dc2b7f1c8e2f87fe46fb8f32">mlpack::optimization::AugLagrangianFunction< LagrangianFunction ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#a9a4ed0ff63676098335d0d2d5bf40d27">mlpack::optimization::AugLagrangianTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#ab0d361b7a8b1cecbb85657c53d198843">mlpack::optimization::GockenbachFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a25903b3d4138c83e7cbec3c96f9683cd">mlpack::optimization::LovaszThetaSDP</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a00ab5ada7c854f14867f631338cc9034">mlpack::optimization::LRSDPFunction< SDPType ></a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GDTestFunction.html#ae258c9cd113a03148eff31cbe8999896">mlpack::optimization::test::GDTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1GeneralizedRosenbrockFunction.html#a14d0f6d87ad536fadba94f21f0f27173">mlpack::optimization::test::GeneralizedRosenbrockFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockFunction.html#ade741d0d56dafe11dcfa27a048dc6a14">mlpack::optimization::test::RosenbrockFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1RosenbrockWoodFunction.html#a715c5fe02b137503247cf8f1fa79fe9a">mlpack::optimization::test::RosenbrockWoodFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1SGDTestFunction.html#abae9896bfccbaa9ddf18776176edbb89">mlpack::optimization::test::SGDTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1test_1_1WoodFunction.html#a221c784e3dfd0fea6794df7fac92a111">mlpack::optimization::test::WoodFunction</a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1LogisticRegressionFunction.html#af03884eac1acde5bfcb583d61ea366a4">mlpack::regression::LogisticRegressionFunction< MatType ></a>
|
|
, <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a6dbfb5cd32ab9e770fb965dc778adde4">mlpack::regression::SoftmaxRegressionFunction</a>
|
|
, <a class="el" href="classmlpack_1_1svd_1_1RegularizedSVDFunction.html#ad7e0b7b303f945f25cb5c8412c42b286">mlpack::svd::RegularizedSVDFunction</a>
|
|
</li>
|
|
<li>GradientConstraint()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1AugLagrangianTestFunction.html#a816d90b1353fd98358d22fd624512083">mlpack::optimization::AugLagrangianTestFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1GockenbachFunction.html#a6cdc11ff58584870ecc96fc4b135fc35">mlpack::optimization::GockenbachFunction</a>
|
|
, <a class="el" href="classmlpack_1_1optimization_1_1LovaszThetaSDP.html#a907a9008c27ca9f135582a903966ad15">mlpack::optimization::LovaszThetaSDP</a>
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, <a class="el" href="classmlpack_1_1optimization_1_1LRSDPFunction.html#a24ceba6c030ed8154bb52e5c57375f95">mlpack::optimization::LRSDPFunction< SDPType ></a>
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</li>
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<li>GradientDescent()
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: <a class="el" href="classmlpack_1_1optimization_1_1GradientDescent.html#a4755e084ee5cde85897e241cd1117a85">mlpack::optimization::GradientDescent< FunctionType ></a>
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</li>
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<li>GradientForSquaredDistance()
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: <a class="el" href="classmlpack_1_1kernel_1_1EpanechnikovKernel.html#ab44c5d3e5355014312c64ec4ba481690">mlpack::kernel::EpanechnikovKernel</a>
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|
, <a class="el" href="classmlpack_1_1kernel_1_1GaussianKernel.html#ab2bd0f1eb24fe8a7508d49fba1659942">mlpack::kernel::GaussianKernel</a>
|
|
</li>
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<li>GradientNormTooSmall()
|
|
: <a class="el" href="classmlpack_1_1optimization_1_1L__BFGS.html#a51a735258080d2fe2c36d547a8b359fc">mlpack::optimization::L_BFGS< FunctionType ></a>
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|
</li>
|
|
<li>GradientSetVisitor()
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|
: <a class="el" href="classmlpack_1_1ann_1_1GradientSetVisitor.html#aa331d5c5b4458dd7ff5a09a04011b946">mlpack::ann::GradientSetVisitor</a>
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|
</li>
|
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<li>gradientStep
|
|
: <a class="el" href="classmlpack_1_1ann_1_1LSTM.html#adfcf65cbc836110dcb47db5f06d204ac">mlpack::ann::LSTM< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Recurrent.html#a0c07941f505b0ee3dbff2d5abf83fa01">mlpack::ann::Recurrent< InputDataType, OutputDataType ></a>
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|
</li>
|
|
<li>gradientTemp
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a232c1a3aafc86a92a56d9b97c2c16a11">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
</li>
|
|
<li>GradientUpdateVisitor()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1GradientUpdateVisitor.html#a6e5ce22ff04dca4d44eacc2ea63d4c96">mlpack::ann::GradientUpdateVisitor</a>
|
|
</li>
|
|
<li>GradientVisitor()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1GradientVisitor.html#afbc2d8ebdbfb3fc6f8891ff2f99955c4">mlpack::ann::GradientVisitor</a>
|
|
</li>
|
|
<li>GradientZeroVisitor()
|
|
: <a class="el" href="classmlpack_1_1ann_1_1GradientZeroVisitor.html#a09e7548acc3857b406069cd9e33143c2">mlpack::ann::GradientZeroVisitor</a>
|
|
</li>
|
|
<li>Greater()
|
|
: <a class="el" href="classmlpack_1_1emst_1_1EdgePair.html#acbb6304d2a22301356004696a2b1ff21">mlpack::emst::EdgePair</a>
|
|
</li>
|
|
<li>greater
|
|
: <a class="el" href="classmlpack_1_1emst_1_1EdgePair.html#a9954245eeaee9bfdccbd8887efcf5c0f">mlpack::emst::EdgePair</a>
|
|
</li>
|
|
<li>GreedySingleTreeTraverser()
|
|
: <a class="el" href="classmlpack_1_1tree_1_1GreedySingleTreeTraverser.html#a470b93001935aefc52044939543e4e24">mlpack::tree::GreedySingleTreeTraverser< TreeType, RuleType ></a>
|
|
</li>
|
|
<li>groundTruth
|
|
: <a class="el" href="classmlpack_1_1regression_1_1SoftmaxRegressionFunction.html#a6f41ab9a1064fc773375e0aa94095120">mlpack::regression::SoftmaxRegressionFunction</a>
|
|
</li>
|
|
<li>Grow()
|
|
: <a class="el" href="classmlpack_1_1det_1_1DTree.html#ab4fc934ba112bdc11efea1db0d704ced">mlpack::det::DTree< MatType, TagType ></a>
|
|
</li>
|
|
<li>gTemp
|
|
: <a class="el" href="classmlpack_1_1ann_1_1Convolution.html#a5911ed415613205bbc64b3d0de4c9e5c">mlpack::ann::Convolution< ForwardConvolutionRule, BackwardConvolutionRule, GradientConvolutionRule, InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1Glimpse.html#ad046e3afe15d43bab2401d81e04d082c">mlpack::ann::Glimpse< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MaxPooling.html#a3261a536b63c418114d3543c16548441">mlpack::ann::MaxPooling< InputDataType, OutputDataType ></a>
|
|
, <a class="el" href="classmlpack_1_1ann_1_1MeanPooling.html#ae0fcee69c191bdd973a50f9858e64f1f">mlpack::ann::MeanPooling< InputDataType, OutputDataType ></a>
|
|
</li>
|
|
</ul>
|
|
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