mlpack: a scalable c++ machine learning library
mlpack  1.0.6
mlpack Namespace Reference

Linear algebra utility functions, generally performed on matrices or vectors. More...

Namespaces

 bound
 
 data
 
Functions to load and save matrices.
 
 det
 
Density Estimation Trees.
 
 distribution
 
Probability distributions.
 
 emst
 
Euclidean Minimum Spanning Trees.
 
 fastmks
 
Fast maximum kernel search.
 
 gmm
 
Gaussian Mixture Models.
 
 hmm
 
Hidden Markov Models.
 
 kernel
 
Kernel functions.
 
 kmeans
 
K-Means clustering.
 
 kpca
 
 lcc
 
 math
 
Miscellaneous math routines.
 
 metric
 
 mvu
 
 naive_bayes
 
The Naive Bayes Classifier.
 
 nca
 
Neighborhood Components Analysis.
 
 neighbor
 
Neighbor-search routines.
 
 nmf
 
 optimization
 
 pca
 
 radical
 
 range
 
Range-search routines.
 
 regression
 
Regression methods.
 
 sparse_coding
 
 tree
 
Trees and tree-building procedures.
 
 util
 

Classes

class  CLI
 Parses the command line for parameters and holds user-specified parameters. More...

 
class  Log
 Provides a convenient way to give formatted output. More...

 
struct  ParamData
 Aids in the extensibility of CLI by focusing potential changes into one structure. More...

 
class  Timer
 The timer class provides a way for mlpack methods to be timed. More...

 
class  Timers
 

Detailed Description

Linear algebra utility functions, generally performed on matrices or vectors.