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%===== C O N T E N T S =====

\begin{document}

% Titlepage & ToC
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{\Large mlpack \\[1ex]\large 3.\+3.\+2 }\\
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{\large Generated by Doxygen 1.8.13}\\
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%--- Begin generated contents ---
\chapter{mlpack Documentation}
\label{index}\input{index}
\chapter{mlpack automatic bindings to other languages}
\label{bindings}
\input{bindings}
\chapter{Building mlpack From Source}
\label{build}
\input{build}
\chapter{Building mlpack From Source on Windows}
\label{build_windows}
\input{build_windows}
\chapter{mlpack command-\/line quickstart guide}
\label{cli_quickstart}
\input{cli_quickstart}
\chapter{Cross-\/\+Validation}
\label{cv}
\input{cv}
\chapter{File formats and loading data in mlpack}
\label{formatdoc}
\input{formatdoc}
\chapter{mlpack in Go quickstart guide}
\label{go_quickstart}
\input{go_quickstart}
\chapter{Hyper-\/\+Parameter Tuning}
\label{hpt_guide}
\input{hpt_guide}
\chapter{Writing an mlpack binding}
\label{iodoc}
\input{iodoc}
\chapter{mlpack in Julia quickstart guide}
\label{julia_quickstart}
\input{julia_quickstart}
\chapter{Matrices in mlpack}
\label{matrices}
\input{matrices}
\chapter{mlpack in Python quickstart guide}
\label{python_quickstart}
\input{python_quickstart}
\chapter{mlpack in R quickstart guide}
\label{r_quickstart}
\input{r_quickstart}
\chapter{Simple Sample mlpack Programs}
\label{sample}
\input{sample}
\chapter{Sample C++ ML App for Windows}
\label{sample_ml_app}
\input{sample_ml_app}
\chapter{mlpack Timers}
\label{timer}
\input{timer}
\chapter{mlpack version information}
\label{verinfo}
\input{verinfo}
\chapter{Alternating Matrix Factorization tutorial}
\label{amftutorial}
\input{amftutorial}
\chapter{Neural Network tutorial}
\label{anntutorial}
\input{anntutorial}
\chapter{Approximate furthest neighbor search (mlpack\+\_\+approx\+\_\+kfn) tutorial}
\label{akfntutorial}
\input{akfntutorial}
\chapter{Collaborative filtering tutorial}
\label{cftutorial}
\input{cftutorial}
\chapter{Density Estimation Tree (D\+ET) tutorial}
\label{dettutorial}
\input{dettutorial}
\chapter{E\+M\+ST Tutorial}
\label{emst_tutorial}
\input{emst_tutorial}
\chapter{Fast max-\/kernel search tutorial (fastmks)}
\label{fmkstutorial}
\input{fmkstutorial}
\chapter{Image Utilities tutorial}
\label{imagetutorial}
\input{imagetutorial}
\chapter{K-\/\+Means tutorial (kmeans)}
\label{kmtutorial}
\input{kmtutorial}
\chapter{Linear/ridge regression tutorial (mlpack\+\_\+linear\+\_\+regression)}
\label{lrtutorial}
\input{lrtutorial}
\chapter{Neighbor\+Search tutorial (k-\/nearest-\/neighbors)}
\label{nstutorial}
\input{nstutorial}
\chapter{Range\+Search tutorial (mlpack\+\_\+range\+\_\+search)}
\label{rstutorial}
\input{rstutorial}
\chapter{Reinforcement Learning Tutorial}
\label{rltutorial}
\input{rltutorial}
\chapter{Tutorials}
\label{tutorials}
\input{tutorials}
\chapter{The Elem\+Type policy in mlpack}
\label{elem}
\input{elem}
\chapter{The Function\+Type policy in mlpack}
\label{function}
\input{function}
\chapter{The Kernel\+Type policy in mlpack}
\label{kernels}
\input{kernels}
\chapter{The Metric\+Type policy in mlpack}
\label{metrics}
\input{metrics}
\chapter{The Tree\+Type policy in mlpack}
\label{trees}
\input{trees}
\chapter{Bug List}
\label{bug}
\input{bug}
\chapter{Namespace Index}
\input{namespaces}
\chapter{Hierarchical Index}
\input{hierarchy}
\chapter{Class Index}
\input{annotated}
\chapter{File Index}
\input{files}
\chapter{Namespace Documentation}
\input{namespaceboost}
\input{namespaceboost_1_1serialization}
\input{namespacemlpack}
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\input{namespacemlpack_1_1amf}
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\chapter{Class Documentation}
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\input{kde__stat_8hpp}
\input{kernel__pca_8hpp}
\input{naive__method_8hpp}
\input{kernel__pca_2kernel__rules_2nystroem__method_8hpp}
\input{nystroem__method_2nystroem__method_8hpp}
\input{allow__empty__clusters_8hpp}
\input{dual__tree__kmeans_8hpp}
\input{dual__tree__kmeans__rules_8hpp}
\input{dual__tree__kmeans__statistic_8hpp}
\input{elkan__kmeans_8hpp}
\input{hamerly__kmeans_8hpp}
\input{kill__empty__clusters_8hpp}
\input{kmeans_8hpp}
\input{max__variance__new__cluster_8hpp}
\input{naive__kmeans_8hpp}
\input{pelleg__moore__kmeans_8hpp}
\input{pelleg__moore__kmeans__rules_8hpp}
\input{pelleg__moore__kmeans__statistic_8hpp}
\input{random__partition_8hpp}
\input{refined__start_8hpp}
\input{sample__initialization_8hpp}
\input{lars_8hpp}
\input{linear__regression_8hpp}
\input{linear__svm_8hpp}
\input{linear__svm__function_8hpp}
\input{constraints_8hpp}
\input{lmnn_8hpp}
\input{lmnn__function_8hpp}
\input{lcc_8hpp}
\input{logistic__regression_8hpp}
\input{logistic__regression__function_8hpp}
\input{lsh__search_8hpp}
\input{matrix__completion_8hpp}
\input{mean__shift_8hpp}
\input{mvu_8hpp}
\input{naive__bayes__classifier_8hpp}
\input{nca_8hpp}
\input{nca__softmax__error__function_8hpp}
\input{neighbor__search_8hpp}
\input{neighbor__search__rules_8hpp}
\input{neighbor__search__stat_8hpp}
\input{ns__model_8hpp}
\input{furthest__neighbor__sort_8hpp}
\input{nearest__neighbor__sort_8hpp}
\input{unmap_8hpp}
\input{kmeans__selection_8hpp}
\input{ordered__selection_8hpp}
\input{random__selection_8hpp}
\input{exact__svd__method_8hpp}
\input{quic__svd__method_8hpp}
\input{randomized__block__krylov__method_8hpp}
\input{pca_8hpp}
\input{zero__init_8hpp}
\input{simple__weight__update_8hpp}
\input{perceptron_8hpp}
\input{scaling__model_8hpp}
\input{quic__svd_8hpp}
\input{radical_8hpp}
\input{bootstrap_8hpp}
\input{random__forest_8hpp}
\input{randomized__svd_8hpp}
\input{range__search_8hpp}
\input{range__search__rules_8hpp}
\input{range__search__stat_8hpp}
\input{rs__model_8hpp}
\input{ra__model_8hpp}
\input{ra__query__stat_8hpp}
\input{ra__search_8hpp}
\input{ra__search__rules_8hpp}
\input{ra__typedef_8hpp}
\input{ra__util_8hpp}
\input{regularized__svd_8hpp}
\input{regularized__svd__function_8hpp}
\input{async__learning_8hpp}
\input{acrobot_8hpp}
\input{cart__pole_8hpp}
\input{continuous__double__pole__cart_8hpp}
\input{continuous__mountain__car_8hpp}
\input{double__pole__cart_8hpp}
\input{env__type_8hpp}
\input{mountain__car_8hpp}
\input{pendulum_8hpp}
\input{reward__clipping_8hpp}
\input{aggregated__policy_8hpp}
\input{greedy__policy_8hpp}
\input{q__learning_8hpp}
\input{categorical__dqn_8hpp}
\input{dueling__dqn_8hpp}
\input{simple__dqn_8hpp}
\input{prioritized__replay_8hpp}
\input{random__replay_8hpp}
\input{sumtree_8hpp}
\input{sac_8hpp}
\input{training__config_8hpp}
\input{n__step__q__learning__worker_8hpp}
\input{one__step__q__learning__worker_8hpp}
\input{one__step__sarsa__worker_8hpp}
\input{softmax__regression_8hpp}
\input{softmax__regression__function_8hpp}
\input{maximal__inputs_8hpp}
\input{sparse__autoencoder_8hpp}
\input{sparse__autoencoder__function_8hpp}
\input{data__dependent__random__initializer_8hpp}
\input{nothing__initializer_8hpp}
\input{random__initializer_8hpp}
\input{sparse__coding_8hpp}
\input{svdplusplus_8hpp}
\input{svdplusplus__function_8hpp}
\input{prereqs_8hpp}
\input{ann__test__tools_8hpp}
\input{custom__layer_8hpp}
\input{braziltourism__labels_8txt}
\input{corrupt-observations-1_8txt}
\input{corrupt-observations-2_8txt}
\input{data__3d__ind_8txt}
\input{data__3d__mixed_8txt}
\input{iris__labels_8txt}
\input{labels_8txt}
\input{observations_8txt}
\input{r10_8txt}
\input{test__labels__nonlinsep_8txt}
\input{test__nonlinsep_8txt}
\input{train__labels__nonlinsep_8txt}
\input{train__nonlinsep_8txt}
\input{vc2__labels_8txt}
\input{vc2__test__labels_8txt}
\input{hmm__test__utils_8hpp}
\input{range__search__utils_8hpp}
\input{test__helper_8hpp}
\input{mock__categorical__data_8hpp}
\input{serialization__catch_8hpp}
\input{test__catch__tools_8hpp}
\input{test__function__tools_8hpp}
\input{test__tools_8hpp}
%--- End generated contents ---

% Index
\backmatter
\newpage
\phantomsection
\clearemptydoublepage
\addcontentsline{toc}{chapter}{Index}
\printindex

\end{document}
