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

Namespaces
namespace	adaboost

namespace	amf
	Alternating Matrix Factorization.

namespace	ann
	Artificial Neural Network.

namespace	bindings

namespace	bound

namespace	cf
	Collaborative filtering.

namespace	cv

namespace	data
	Functions to load and save matrices and models.

namespace	dbscan

namespace	decision_stump

namespace	det
	Density Estimation Trees.

namespace	distribution
	Probability distributions.

namespace	emst
	Euclidean Minimum Spanning Trees.

namespace	fastmks
	Fast max-kernel search.

namespace	gmm
	Gaussian Mixture Models.

namespace	hmm
	Hidden Markov Models.

namespace	hpt

namespace	kde
	Kernel Density Estimation.

namespace	kernel
	Kernel functions.

namespace	kmeans
	K-Means clustering.

namespace	kpca

namespace	lcc

namespace	lmnn
	Large Margin Nearest Neighbor.

namespace	math
	Miscellaneous math routines.

namespace	matrix_completion

namespace	meanshift
	Mean shift clustering.

namespace	metric

namespace	mvu

namespace	naive_bayes
	The Naive Bayes Classifier.

namespace	nca
	Neighborhood Components Analysis.

namespace	neighbor

namespace	nn

namespace	pca

namespace	perceptron

namespace	radical

namespace	range
	Range-search routines.

namespace	regression
	Regression methods.

namespace	rl

namespace	sfinae

namespace	sparse_coding

namespace	svd

namespace	svm

namespace	tree
	Trees and tree-building procedures.

namespace	util

Classes
class	Backtrace
	Provides a backtrace. More...

class	IO
	Parses the command line for parameters and holds user-specified parameters. More...

class	Log
	Provides a convenient way to give formatted output. More...

class	Timer
	The timer class provides a way for mlpack methods to be timed. More...

class	Timers

Functions
void	CheckMatrices (const arma::cube &x, const arma::cube &xmlX, const arma::cube &textX, const arma::cube &binaryX)

void	CheckMatrices (const arma::mat &x, const arma::mat &xmlX, const arma::mat &textX, const arma::mat &binaryX)

void	CheckMatrices (const arma::Mat< size_t > &x, const arma::Mat< size_t > &xmlX, const arma::Mat< size_t > &textX, const arma::Mat< size_t > &binaryX)

template<typename T >
T::elem_type *	GetMemory (T &m)
	Return the matrix's allocated memory pointer, unless the matrix is using its internal preallocated memory, in which case we copy that and return a pointer to the memory we just made. More...

template<typename T , typename IArchiveType , typename OArchiveType >
void	SerializeObject (T &t, T &newT)

template<typename T >
void	SerializeObjectAll (T &t, T &xmlT, T &textT, T &binaryT)

template<typename T , typename IArchiveType , typename OArchiveType >
void	SerializePointerObject (T t, T &newT)

template<typename T >
void	SerializePointerObjectAll (T t, T &xmlT, T &textT, T &binaryT)

template<typename CubeType >
void	TestAllArmadilloSerialization (arma::Cube< CubeType > &x)

template<typename MatType >
void	TestAllArmadilloSerialization (MatType &x)

template<typename CubeType , typename IArchiveType , typename OArchiveType >
void	TestArmadilloSerialization (arma::Cube< CubeType > &x)

template<typename MatType , typename IArchiveType , typename OArchiveType >
void	TestArmadilloSerialization (MatType &x)

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.

Function Documentation

◆ CheckMatrices() [1/3]

void CheckMatrices	(	const arma::cube &	x,
		const arma::cube &	xmlX,
		const arma::cube &	textX,
		const arma::cube &	binaryX
	)

◆ CheckMatrices() [2/3]

void CheckMatrices	(	const arma::mat &	x,
		const arma::mat &	xmlX,
		const arma::mat &	textX,
		const arma::mat &	binaryX
	)

◆ CheckMatrices() [3/3]

void CheckMatrices	(	const arma::Mat< size_t > &	x,
		const arma::Mat< size_t > &	xmlX,
		const arma::Mat< size_t > &	textX,
		const arma::Mat< size_t > &	binaryX
	)

◆ GetMemory()

T::elem_type * mlpack::GetMemory ( T & m )

inline

Return the matrix's allocated memory pointer, unless the matrix is using its internal preallocated memory, in which case we copy that and return a pointer to the memory we just made.

Definition at line 27 of file arma_util.hpp.