79 lines
2.7 KiB
C++
79 lines
2.7 KiB
C++
/**
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* @file mlpack.hpp
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*
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* Include all of mlpack! When this file is included, all components of mlpack
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* are available.
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*
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* Note that by default, serialization for ANN layers is not enabled, since this
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* will cause the build time to be very long. If you plan to serialize a neural
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* network, simply include mlpack like this:
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*
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* ```
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* #define MLPACK_ENABLE_ANN_SERIALIZATION
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* #include <mlpack.hpp>
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* ```
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*
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* mlpack is free software; you may redistribute it and/or modify it under the
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* terms of the 3-clause BSD license. You should have received a copy of the
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* 3-clause BSD license along with mlpack. If not, see
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* http://www.opensource.org/licenses/BSD-3-Clause for more information.
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*/
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#ifndef MLPACK_HPP
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#define MLPACK_HPP
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// Include all of the core library components.
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#include "mlpack/base.hpp"
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#include "mlpack/prereqs.hpp"
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#include "mlpack/core.hpp"
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// Now include all of the methods.
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#include "mlpack/methods/adaboost.hpp"
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#include "mlpack/methods/amf.hpp"
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#include "mlpack/methods/ann.hpp"
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#include "mlpack/methods/approx_kfn.hpp"
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#include "mlpack/methods/bayesian_linear_regression.hpp"
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#include "mlpack/methods/bias_svd.hpp"
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#include "mlpack/methods/block_krylov_svd.hpp"
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#include "mlpack/methods/cf.hpp"
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#include "mlpack/methods/dbscan.hpp"
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#include "mlpack/methods/decision_tree.hpp"
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#include "mlpack/methods/det.hpp"
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#include "mlpack/methods/emst.hpp"
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#include "mlpack/methods/fastmks.hpp"
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#include "mlpack/methods/gmm.hpp"
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#include "mlpack/methods/hmm.hpp"
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#include "mlpack/methods/hoeffding_trees.hpp"
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#include "mlpack/methods/kde.hpp"
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#include "mlpack/methods/kernel_pca.hpp"
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#include "mlpack/methods/kmeans.hpp"
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#include "mlpack/methods/lars.hpp"
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#include "mlpack/methods/linear_regression.hpp"
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#include "mlpack/methods/lmnn.hpp"
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#include "mlpack/methods/local_coordinate_coding.hpp"
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#include "mlpack/methods/logistic_regression.hpp"
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#include "mlpack/methods/lsh.hpp"
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#include "mlpack/methods/matrix_completion.hpp"
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#include "mlpack/methods/mean_shift.hpp"
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#include "mlpack/methods/naive_bayes.hpp"
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#include "mlpack/methods/nca.hpp"
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#include "mlpack/methods/neighbor_search.hpp"
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#include "mlpack/methods/pca.hpp"
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#include "mlpack/methods/perceptron.hpp"
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#include "mlpack/methods/quic_svd.hpp"
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#include "mlpack/methods/radical.hpp"
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#include "mlpack/methods/random_forest.hpp"
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#include "mlpack/methods/randomized_svd.hpp"
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#include "mlpack/methods/range_search.hpp"
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#include "mlpack/methods/rann.hpp"
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#include "mlpack/methods/regularized_svd.hpp"
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#include "mlpack/methods/reinforcement_learning.hpp"
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#include "mlpack/methods/softmax_regression.hpp"
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#include "mlpack/methods/sparse_autoencoder.hpp"
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#include "mlpack/methods/sparse_coding.hpp"
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#include "mlpack/methods/svdplusplus.hpp"
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// Include reverse compatibility.
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#include "mlpack/namespace_compat.hpp"
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#endif
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