MLPACK  1.0.10
Namespaces | Classes
mlpack Namespace Reference

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

Namespaces

 amf
 
 bound
 
 cf
 Collaborative filtering.
 
 data
 Functions to load and save matrices.
 
 decision_stump
 
 det
 Density Estimation Trees.
 
 distribution
 Probability distributions.
 
 emst
 Euclidean Minimum Spanning Trees.
 
 fastmks
 Fast max-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.
 
 nn
 
 optimization
 
 pca
 
 perceptron
 
 radical
 
 range
 Range-search routines.
 
 regression
 Regression methods.
 
 sparse_coding
 
 svd
 
 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.

This class is used to update the weightVectors matrix according to the simple update rule as discussed by Rosenblatt:

if a vector x has been incorrectly classified by a weight w, then w = w - x and w'= w'+ x

where w' is the weight vector which correctly classifies x.