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mlpack (version 4.6.0)

'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) .

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Version

Install

install.packages('mlpack')

Monthly Downloads

671

Version

4.6.0

License

BSD_3_clause + file LICENSE

Issues

8

Pull Requests

9

Stars

5,332

Forks

1,658

Maintainer

Ryan Curtin

Last Published

April 7th, 2025

Functions in mlpack (4.6.0)

local_coordinate_coding

Local Coordinate Coding
lmnn

Large Margin Nearest Neighbors (LMNN)
kmeans

K-Means Clustering
krann

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

Simple Linear Regression and Prediction
lsh

K-Approximate-Nearest-Neighbor Search with LSH
logistic_regression

L2-regularized Logistic Regression and Prediction
lars

LARS
knn

k-Nearest-Neighbors Search
linear_svm

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

Perceptron
nca

Neighborhood Components Analysis (NCA)
preprocess_describe

Descriptive Statistics
preprocess_binarize

Binarize Data
nbc

Parametric Naive Bayes Classifier
nmf

Non-negative Matrix Factorization
pca

Principal Components Analysis
Serialize

Serialize/Unserialize an mlpack model.
mean_shift

Mean Shift Clustering
mlpack

mlpack
softmax_regression

Softmax Regression
radical

RADICAL
preprocess_split

Split Data
preprocess_scale

Scale Data
test_r_binding

R binding test
sparse_coding

Sparse Coding
random_forest

Random forests
preprocess_one_hot_encoding

One Hot Encoding
adaboost

AdaBoost
dbscan

DBSCAN clustering
decision_tree

Decision tree
fastmks

FastMKS (Fast Max-Kernel Search)
gmm_generate

GMM Sample Generator
hmm_viterbi

Hidden Markov Model (HMM) Viterbi State Prediction
hmm_train

Hidden Markov Model (HMM) Training
hmm_generate

Hidden Markov Model (HMM) Sequence Generator
approx_kfn

Approximate furthest neighbor search
hmm_loglik

Hidden Markov Model (HMM) Sequence Log-Likelihood
gmm_probability

GMM Probability Calculator
det

Density Estimation With Density Estimation Trees
hoeffding_tree

Hoeffding trees
emst

Fast Euclidean Minimum Spanning Tree
kde

Kernel Density Estimation
cf

Collaborative Filtering
bayesian_linear_regression

BayesianLinearRegression
kernel_pca

Kernel Principal Components Analysis
kfn

k-Furthest-Neighbors Search
gmm_train

Gaussian Mixture Model (GMM) Training