NAME¶

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

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¶

Generated automatically by Doxygen for MLPACK from the source code.