.TH "mlpack" 3 "Tue Sep 9 2014" "Version 1.0.10" "MLPACK" \" -*- nroff -*- .ad l .nh .SH NAME mlpack \- .PP Linear algebra utility functions, generally performed on matrices or vectors\&. .SH SYNOPSIS .br .PP .SS "Namespaces" .in +1c .ti -1c .RI " \fBamf\fP" .br .ti -1c .RI " \fBbound\fP" .br .ti -1c .RI " \fBcf\fP" .br .RI "\fICollaborative filtering\&. \fP" .ti -1c .RI " \fBdata\fP" .br .RI "\fIFunctions to load and save matrices\&. \fP" .ti -1c .RI " \fBdecision_stump\fP" .br .ti -1c .RI " \fBdet\fP" .br .RI "\fIDensity Estimation Trees\&. \fP" .ti -1c .RI " \fBdistribution\fP" .br .RI "\fIProbability distributions\&. \fP" .ti -1c .RI " \fBemst\fP" .br .RI "\fIEuclidean Minimum Spanning Trees\&. \fP" .ti -1c .RI " \fBfastmks\fP" .br .RI "\fIFast max-kernel search\&. \fP" .ti -1c .RI " \fBgmm\fP" .br .RI "\fIGaussian Mixture Models\&. \fP" .ti -1c .RI " \fBhmm\fP" .br .RI "\fIHidden Markov Models\&. \fP" .ti -1c .RI " \fBkernel\fP" .br .RI "\fIKernel functions\&. \fP" .ti -1c .RI " \fBkmeans\fP" .br .RI "\fIK-Means clustering\&. \fP" .ti -1c .RI " \fBkpca\fP" .br .ti -1c .RI " \fBlcc\fP" .br .ti -1c .RI " \fBmath\fP" .br .RI "\fIMiscellaneous math routines\&. \fP" .ti -1c .RI " \fBmetric\fP" .br .ti -1c .RI " \fBmvu\fP" .br .ti -1c .RI " \fBnaive_bayes\fP" .br .RI "\fIThe Naive Bayes Classifier\&. \fP" .ti -1c .RI " \fBnca\fP" .br .RI "\fINeighborhood Components Analysis\&. \fP" .ti -1c .RI " \fBneighbor\fP" .br .RI "\fINeighbor-search routines\&. \fP" .ti -1c .RI " \fBnn\fP" .br .ti -1c .RI " \fBoptimization\fP" .br .ti -1c .RI " \fBpca\fP" .br .ti -1c .RI " \fBperceptron\fP" .br .ti -1c .RI " \fBradical\fP" .br .ti -1c .RI " \fBrange\fP" .br .RI "\fIRange-search routines\&. \fP" .ti -1c .RI " \fBregression\fP" .br .RI "\fIRegression methods\&. \fP" .ti -1c .RI " \fBsparse_coding\fP" .br .ti -1c .RI " \fBsvd\fP" .br .ti -1c .RI " \fBtree\fP" .br .RI "\fITrees and tree-building procedures\&. \fP" .ti -1c .RI " \fButil\fP" .br .in -1c .SS "Classes" .in +1c .ti -1c .RI "class \fBCLI\fP" .br .RI "\fIParses the command line for parameters and holds user-specified parameters\&. \fP" .ti -1c .RI "class \fBLog\fP" .br .RI "\fIProvides a convenient way to give formatted output\&. \fP" .ti -1c .RI "struct \fBParamData\fP" .br .RI "\fIAids in the extensibility of \fBCLI\fP by focusing potential changes into one structure\&. \fP" .ti -1c .RI "class \fBTimer\fP" .br .RI "\fIThe timer class provides a way for MLPACK methods to be timed\&. \fP" .ti -1c .RI "class \fBTimers\fP" .br .in -1c .SH "Detailed Description" .PP 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: .PP if a vector x has been incorrectly classified by a weight w, then w = w - x and w'= w'+ x .PP where w' is the weight vector which correctly classifies x\&. .SH "Author" .PP Generated automatically by Doxygen for MLPACK from the source code\&.