mlpack-package | mlpack |
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 |
Serialize | Serialize/Unserialize an mlpack model. |
softmax_regression | Softmax Regression |
sparse_coding | Sparse Coding |
test_r_binding | R binding test |
Unserialize | Serialize/Unserialize an mlpack model. |