Serialize               Serialize/Unserialize an mlpack model.
adaboost                AdaBoost
approx_kfn              Approximate furthest neighbor search
bayesian_linear_regression
                        BayesianLinearRegression
cf                      Collaborative Filtering
dbscan                  DBSCAN clustering
decision_tree           Decision tree
det                     Density Estimation With Density Estimation
                        Trees
emst                    Fast Euclidean Minimum Spanning Tree
fastmks                 FastMKS (Fast Max-Kernel Search)
gmm_generate            GMM Sample Generator
gmm_probability         GMM Probability Calculator
gmm_train               Gaussian Mixture Model (GMM) Training
hmm_generate            Hidden Markov Model (HMM) Sequence Generator
hmm_loglik              Hidden Markov Model (HMM) Sequence
                        Log-Likelihood
hmm_train               Hidden Markov Model (HMM) Training
hmm_viterbi             Hidden Markov Model (HMM) Viterbi State
                        Prediction
hoeffding_tree          Hoeffding trees
image_converter         Image Converter
kde                     Kernel Density Estimation
kernel_pca              Kernel Principal Components Analysis
kfn                     k-Furthest-Neighbors Search
kmeans                  K-Means Clustering
knn                     k-Nearest-Neighbors Search
krann                   K-Rank-Approximate-Nearest-Neighbors (kRANN)
lars                    LARS
linear_regression       Simple Linear Regression and Prediction
linear_svm              Linear SVM is an L2-regularized support vector
                        machine.
lmnn                    Large Margin Nearest Neighbors (LMNN)
local_coordinate_coding
                        Local Coordinate Coding
logistic_regression     L2-regularized Logistic Regression and
                        Prediction
lsh                     K-Approximate-Nearest-Neighbor Search with LSH
mean_shift              Mean Shift Clustering
mlpack                  mlpack
nbc                     Parametric Naive Bayes Classifier
nca                     Neighborhood Components Analysis (NCA)
nmf                     Non-negative Matrix Factorization
pca                     Principal Components Analysis
perceptron              Perceptron
preprocess_binarize     Binarize Data
preprocess_describe     Descriptive Statistics
preprocess_one_hot_encoding
                        One Hot Encoding
preprocess_scale        Scale Data
preprocess_split        Split Data
radical                 RADICAL
random_forest           Random forests
softmax_regression      Softmax Regression
sparse_coding           Sparse Coding
test_r_binding          R binding test
