mlpack  3.4.2
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Namespace List
Here is a list of all namespaces with brief descriptions:
[detail level 1234]
oNboostSet the serialization version of the adaboost class
|\Nserialization
oNmlpackLinear algebra utility functions, generally performed on matrices or vectors
|oNadaboost
|oNamfAlternating Matrix Factorization
|oNannArtificial Neural Network
||\Naugmented
|| oNscorers
|| \Ntasks
|oNbindings
||oNcli
||oNgo
||oNjulia
||oNmarkdown
||oNpython
||oNr
||\Ntests
|oNbound
||oNaddr
||\NmetaMetaprogramming utilities
|oNcfCollaborative filtering
|oNcv
|oNdataFunctions to load and save matrices and models
|oNdbscan
|oNdecision_stump
|oNdetDensity Estimation Trees
|oNdistributionProbability distributions
|oNemstEuclidean Minimum Spanning Trees
|oNfastmksFast max-kernel search
|oNgmmGaussian Mixture Models
|oNhmmHidden Markov Models
|oNhpt
|oNkdeKernel Density Estimation
|oNkernelKernel functions
|oNkmeansK-Means clustering
|oNkpca
|oNlcc
|oNlmnnLarge Margin Nearest Neighbor
|oNmathMiscellaneous math routines
|oNmatrix_completion
|oNmeanshiftMean shift clustering
|oNmetric
|oNmvu
|oNnaive_bayesThe Naive Bayes Classifier
|oNncaNeighborhood Components Analysis
|oNneighbor
|oNnn
|oNpca
|oNperceptron
|oNradical
|oNrangeRange-search routines
|oNregressionRegression methods
|oNrl
|oNsfinae
|oNsparse_coding
|oNsvd
|oNsvm
|oNtreeTrees and tree-building procedures
||oNenumerate
||\Nsplit
|\Nutil
\Nstd