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mlpack (version 3.4.2)

'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

1,132

Version

3.4.2

License

BSD_3_clause + file LICENSE

Issues

9

Pull Requests

9

Stars

5,347

Forks

1,657

Maintainer

Ryan Curtin

Last Published

December 8th, 2020

Functions in mlpack (3.4.2)

gmm_probability

GMM Probability Calculator
local_coordinate_coding

Local Coordinate Coding
gmm_train

Gaussian Mixture Model (GMM) Training
logistic_regression

L2-regularized Logistic Regression and Prediction
perceptron

Perceptron
preprocess_binarize

Binarize Data
lars

LARS
hmm_viterbi

Hidden Markov Model (HMM) Viterbi State Prediction
linear_regression

Simple Linear Regression and Prediction
hmm_train

Hidden Markov Model (HMM) Training
kde

Kernel Density Estimation
kernel_pca

Kernel Principal Components Analysis
linear_svm

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

k-Nearest-Neighbors Search
random_forest

Random forests
radical

RADICAL
cf

Collaborative Filtering
image_converter

Image Converter
nmf

Non-negative Matrix Factorization
hoeffding_tree

Hoeffding trees
hmm_generate

Hidden Markov Model (HMM) Sequence Generator
hmm_loglik

Hidden Markov Model (HMM) Sequence Log-Likelihood
kfn

k-Furthest-Neighbors Search
test_r_binding

R binding test
nca

Neighborhood Components Analysis (NCA)
nbc

Parametric Naive Bayes Classifier
lmnn

Large Margin Nearest Neighbors (LMNN)
kmeans

K-Means Clustering
lsh

K-Approximate-Nearest-Neighbor Search with LSH
krann

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

Serialize/Unserialize an mlpack model.
softmax_regression

Softmax Regression
mlpack

mlpack
sparse_coding

Sparse Coding
pca

Principal Components Analysis
preprocess_scale

Scale Data
preprocess_describe

Descriptive Statistics
mean_shift

Mean Shift Clustering
preprocess_one_hot_encoding

One Hot Encoding
preprocess_split

Split Data
decision_tree

Decision tree
bayesian_linear_regression

BayesianLinearRegression
fastmks

FastMKS (Fast Max-Kernel Search)
emst

Fast Euclidean Minimum Spanning Tree
dbscan

DBSCAN clustering
approx_kfn

Approximate furthest neighbor search
adaboost

AdaBoost
det

Density Estimation With Density Estimation Trees
gmm_generate

GMM Sample Generator