Learn R Programming
⚠️There's a newer version (4.6.0) of this package.Take me there.

mlpack (version 4.5.1)

'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

671

Version

4.5.1

License

BSD_3_clause + file LICENSE

Issues

8

Pull Requests

9

Stars

5,333

Forks

1,658

Maintainer

Ryan Curtin

Last Published

December 5th, 2024

Functions in mlpack (4.5.1)

kde

Kernel Density Estimation
kfn

k-Furthest-Neighbors Search
kernel_pca

Kernel Principal Components Analysis
preprocess_binarize

Binarize Data
kmeans

K-Means Clustering
perceptron

Perceptron
hmm_viterbi

Hidden Markov Model (HMM) Viterbi State Prediction
hmm_train

Hidden Markov Model (HMM) Training
det

Density Estimation With Density Estimation Trees
emst

Fast Euclidean Minimum Spanning Tree
gmm_probability

GMM Probability Calculator
hmm_generate

Hidden Markov Model (HMM) Sequence Generator
preprocess_describe

Descriptive Statistics
hmm_loglik

Hidden Markov Model (HMM) Sequence Log-Likelihood
local_coordinate_coding

Local Coordinate Coding
hoeffding_tree

Hoeffding trees
radical

RADICAL
preprocess_one_hot_encoding

One Hot Encoding
logistic_regression

L2-regularized Logistic Regression and Prediction
lsh

K-Approximate-Nearest-Neighbor Search with LSH
linear_svm

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

Mean Shift Clustering
random_forest

Random forests
gmm_train

Gaussian Mixture Model (GMM) Training
lmnn

Large Margin Nearest Neighbors (LMNN)
Serialize

Serialize/Unserialize an mlpack model.
linear_regression

Simple Linear Regression and Prediction
lars

LARS
image_converter

Image Converter
nbc

Parametric Naive Bayes Classifier
knn

k-Nearest-Neighbors Search
test_r_binding

R binding test
mlpack

mlpack
nca

Neighborhood Components Analysis (NCA)
softmax_regression

Softmax Regression
sparse_coding

Sparse Coding
krann

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

Non-negative Matrix Factorization
preprocess_scale

Scale Data
preprocess_split

Split Data
pca

Principal Components Analysis
gmm_generate

GMM Sample Generator
bayesian_linear_regression

BayesianLinearRegression
approx_kfn

Approximate furthest neighbor search
decision_tree

Decision tree
cf

Collaborative Filtering
dbscan

DBSCAN clustering
adaboost

AdaBoost
fastmks

FastMKS (Fast Max-Kernel Search)