'Rcpp' Integration for the 'mlpack' Library

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Documentation for package ‘mlpack’ version 4.3.0.1

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mlpack-package mlpack
adaboost AdaBoost
approx_kfn Approximate furthest neighbor search
bayesian_linear_regression BayesianLinearRegression
cf Collaborative Filtering
dbscan DBSCAN clustering
decision_tree Decision tree
det Density Estimation With Density Estimation Trees
emst Fast Euclidean Minimum Spanning Tree
fastmks FastMKS (Fast Max-Kernel Search)
gmm_generate GMM Sample Generator
gmm_probability GMM Probability Calculator
gmm_train Gaussian Mixture Model (GMM) Training
hmm_generate Hidden Markov Model (HMM) Sequence Generator
hmm_loglik Hidden Markov Model (HMM) Sequence Log-Likelihood
hmm_train Hidden Markov Model (HMM) Training
hmm_viterbi Hidden Markov Model (HMM) Viterbi State Prediction
hoeffding_tree Hoeffding trees
image_converter Image Converter
kde Kernel Density Estimation
kernel_pca Kernel Principal Components Analysis
kfn k-Furthest-Neighbors Search
kmeans K-Means Clustering
knn k-Nearest-Neighbors Search
krann K-Rank-Approximate-Nearest-Neighbors (kRANN)
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
lsh K-Approximate-Nearest-Neighbor Search with LSH
mean_shift Mean Shift Clustering
mlpack mlpack
nbc Parametric Naive Bayes Classifier
nca Neighborhood Components Analysis (NCA)
nmf Non-negative Matrix Factorization
pca Principal Components Analysis
perceptron Perceptron
preprocess_binarize Binarize Data
preprocess_describe Descriptive Statistics
preprocess_one_hot_encoding One Hot Encoding
preprocess_scale Scale Data
preprocess_split Split Data
radical RADICAL
random_forest Random forests
Serialize Serialize/Unserialize an mlpack model.
softmax_regression Softmax Regression
sparse_coding Sparse Coding
test_r_binding R binding test
Unserialize Serialize/Unserialize an mlpack model.