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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