SYNOPSIS

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. class Log

Provides a convenient way to give formatted output. struct ParamData

Aids in the extensibility of CLI by focusing potential changes into one structure. class Timer

The timer class provides a way for MLPACK methods to be timed. 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.

Author

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