Man pages for mlpack
'Rcpp' Integration for the 'mlpack' Library
| 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 |
| mlpack-serialization | Serialize/Unserialize an mlpack model. |
| 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 |
