mlpack4.4.0 package

AdaBoost

Approximate furthest neighbor search

BayesianLinearRegression

Collaborative Filtering

DBSCAN clustering

Decision tree

Density Estimation With Density Estimation Trees

Fast Euclidean Minimum Spanning Tree

FastMKS (Fast Max-Kernel Search)

GMM Sample Generator

GMM Probability Calculator

Gaussian Mixture Model (GMM) Training

Hidden Markov Model (HMM) Sequence Generator

Hidden Markov Model (HMM) Sequence Log-Likelihood

Hidden Markov Model (HMM) Training

Hidden Markov Model (HMM) Viterbi State Prediction

Hoeffding trees

Image Converter

Kernel Density Estimation

Kernel Principal Components Analysis

k-Furthest-Neighbors Search

K-Means Clustering

k-Nearest-Neighbors Search

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

LARS

Simple Linear Regression and Prediction

Linear SVM is an L2-regularized support vector machine.

Large Margin Nearest Neighbors (LMNN)

Local Coordinate Coding

L2-regularized Logistic Regression and Prediction

K-Approximate-Nearest-Neighbor Search with LSH

Mean Shift Clustering

Serialize/Unserialize an mlpack model.

mlpack

Parametric Naive Bayes Classifier

Neighborhood Components Analysis (NCA)

Non-negative Matrix Factorization

Principal Components Analysis

Perceptron

Binarize Data

Descriptive Statistics

One Hot Encoding

Scale Data

Split Data

RADICAL

Random forests

Softmax Regression

Sparse Coding

R binding test