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. |