Man pages for mlpack
'Rcpp' Integration for the 'mlpack' Library

adaboostAdaBoost
approx_kfnApproximate furthest neighbor search
bayesian_linear_regressionBayesianLinearRegression
cfCollaborative Filtering
dbscanDBSCAN clustering
decision_treeDecision tree
detDensity Estimation With Density Estimation Trees
emstFast Euclidean Minimum Spanning Tree
fastmksFastMKS (Fast Max-Kernel Search)
gmm_generateGMM Sample Generator
gmm_probabilityGMM Probability Calculator
gmm_trainGaussian Mixture Model (GMM) Training
hmm_generateHidden Markov Model (HMM) Sequence Generator
hmm_loglikHidden Markov Model (HMM) Sequence Log-Likelihood
hmm_trainHidden Markov Model (HMM) Training
hmm_viterbiHidden Markov Model (HMM) Viterbi State Prediction
hoeffding_treeHoeffding trees
image_converterImage Converter
kdeKernel Density Estimation
kernel_pcaKernel Principal Components Analysis
kfnk-Furthest-Neighbors Search
kmeansK-Means Clustering
knnk-Nearest-Neighbors Search
krannK-Rank-Approximate-Nearest-Neighbors (kRANN)
larsLARS
linear_regressionSimple Linear Regression and Prediction
linear_svmLinear SVM is an L2-regularized support vector machine.
lmnnLarge Margin Nearest Neighbors (LMNN)
local_coordinate_codingLocal Coordinate Coding
logistic_regressionL2-regularized Logistic Regression and Prediction
lshK-Approximate-Nearest-Neighbor Search with LSH
mean_shiftMean Shift Clustering
mlpackmlpack
mlpack-serializationSerialize/Unserialize an mlpack model.
nbcParametric Naive Bayes Classifier
ncaNeighborhood Components Analysis (NCA)
nmfNon-negative Matrix Factorization
pcaPrincipal Components Analysis
perceptronPerceptron
preprocess_binarizeBinarize Data
preprocess_describeDescriptive Statistics
preprocess_one_hot_encodingOne Hot Encoding
preprocess_scaleScale Data
preprocess_splitSplit Data
radicalRADICAL
random_forestRandom forests
softmax_regressionSoftmax Regression
sparse_codingSparse Coding
test_r_bindingR binding test
mlpack documentation built on Dec. 19, 2020, 1:06 a.m.