mlpack Namespace Reference

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

Namespaces
	amf
	Alternating Matrix Factorization.
	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.