Learn R Programming

mlpack (version 4.6.3)

'Rcpp' Integration for the 'mlpack' Library

Description

A fast, flexible machine learning library, written in C++, that aims to provide fast, extensible implementations of cutting-edge machine learning algorithms. See also Curtin et al. (2023) .

Copy Link

Version

Install

install.packages('mlpack')

Monthly Downloads

1,088

Version

4.6.3

License

BSD_3_clause + file LICENSE

Issues

11

Pull Requests

18

Stars

5,470

Forks

1,666

Maintainer

Ryan Curtin

Last Published

September 1st, 2025

Functions in mlpack (4.6.3)

local_coordinate_coding

Local Coordinate Coding
nca

Neighborhood Components Analysis (NCA)
Serialize

Serialize/Unserialize an mlpack model.
preprocess_binarize

Binarize Data
pca

Principal Components Analysis
nbc

Parametric Naive Bayes Classifier
mean_shift

Mean Shift Clustering
perceptron

Perceptron
nmf

Non-negative Matrix Factorization
mlpack

mlpack
lsh

K-Approximate-Nearest-Neighbor Search with LSH
preprocess_describe

Descriptive Statistics
preprocess_split

Split Data
preprocess_scale

Scale Data
preprocess_one_hot_encoding

One Hot Encoding
random_forest

Random forests
softmax_regression

Softmax Regression
radical

RADICAL
test_r_binding

R binding test
sparse_coding

Sparse Coding
decision_tree

Decision tree
approx_kfn

Approximate furthest neighbor search
fastmks

FastMKS (Fast Max-Kernel Search)
emst

Fast Euclidean Minimum Spanning Tree
cf

Collaborative Filtering
gmm_generate

GMM Sample Generator
adaboost

AdaBoost
det

Density Estimation With Density Estimation Trees
dbscan

DBSCAN clustering
bayesian_linear_regression

BayesianLinearRegression
hmm_viterbi

Hidden Markov Model (HMM) Viterbi State Prediction
gmm_probability

GMM Probability Calculator
hmm_loglik

Hidden Markov Model (HMM) Sequence Log-Likelihood
hoeffding_tree

Hoeffding trees
hmm_generate

Hidden Markov Model (HMM) Sequence Generator
hmm_train

Hidden Markov Model (HMM) Training
kernel_pca

Kernel Principal Components Analysis
kde

Kernel Density Estimation
image_converter

Image Converter
gmm_train

Gaussian Mixture Model (GMM) Training
lars

LARS
kmeans

K-Means Clustering
lmnn

Large Margin Nearest Neighbors (LMNN)
knn

k-Nearest-Neighbors Search
linear_svm

Linear SVM is an L2-regularized support vector machine.
kfn

k-Furthest-Neighbors Search
linear_regression

Simple Linear Regression and Prediction
krann

K-Rank-Approximate-Nearest-Neighbors (kRANN)
logistic_regression

L2-regularized Logistic Regression and Prediction