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mlpack (version 4.1.0)

'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. (2018) .

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Version

Install

install.packages('mlpack')

Monthly Downloads

1,696

Version

4.1.0

License

BSD_3_clause + file LICENSE

Issues

17

Pull Requests

9

Stars

5,393

Forks

1,662

Maintainer

Ryan Curtin

Last Published

May 1st, 2023

Functions in mlpack (4.1.0)

gmm_probability

GMM Probability Calculator
gmm_train

Gaussian Mixture Model (GMM) Training
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
krann

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

k-Nearest-Neighbors Search
perceptron

Perceptron
preprocess_binarize

Binarize Data
pca

Principal Components Analysis
nca

Neighborhood Components Analysis (NCA)
nmf

Non-negative Matrix Factorization
nbc

Parametric Naive Bayes Classifier
mean_shift

Mean Shift Clustering
lsh

K-Approximate-Nearest-Neighbor Search with LSH
kmeans

K-Means Clustering
kfn

k-Furthest-Neighbors Search
mlpack

mlpack
Serialize

Serialize/Unserialize an mlpack model.
random_forest

Random forests
radical

RADICAL
preprocess_split

Split Data
preprocess_scale

Scale Data
softmax_regression

Softmax Regression
sparse_coding

Sparse Coding
test_r_binding

R binding test
preprocess_one_hot_encoding

One Hot Encoding
preprocess_describe

Descriptive Statistics
adaboost

AdaBoost
det

Density Estimation With Density Estimation Trees
dbscan

DBSCAN clustering
bayesian_linear_regression

BayesianLinearRegression
cf

Collaborative Filtering
decision_tree

Decision tree
emst

Fast Euclidean Minimum Spanning Tree
image_converter

Image Converter
hoeffding_tree

Hoeffding trees
hmm_train

Hidden Markov Model (HMM) Training
hmm_generate

Hidden Markov Model (HMM) Sequence Generator
approx_kfn

Approximate furthest neighbor search
kde

Kernel Density Estimation
hmm_viterbi

Hidden Markov Model (HMM) Viterbi State Prediction
hmm_loglik

Hidden Markov Model (HMM) Sequence Log-Likelihood
fastmks

FastMKS (Fast Max-Kernel Search)
gmm_generate

GMM Sample Generator
kernel_pca

Kernel Principal Components Analysis