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

Namespaces
	adaboost

	amf
	Alternating Matrix Factorization.

	ann
	Artificial Neural Network.

	bindings

	bound

	cf
	Collaborative filtering.

	cv

	data
	Functions to load and save matrices and models.

	dbscan

	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.

	hpt

	kde
	Kernel Density Estimation.

	kernel
	Kernel functions.

	kmeans
	K-Means clustering.

	kpca

	lcc

	lmnn
	Large Margin Nearest Neighbor.

	math
	Miscellaneous math routines.

	matrix_completion

	meanshift
	Mean shift clustering.

	metric

	mvu

	naive_bayes
	The Naive Bayes Classifier.

	nca
	Neighborhood Components Analysis.

	neighbor

	nn

	pca

	perceptron

	radical

	range
	Range-search routines.

	regression
	Regression methods.

	rl

	sfinae

	sparse_coding

	svd

	svm

	tree
	Trees and tree-building procedures.

	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::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)

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

template
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
void	SerializeObject (T &t, T &newT)

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

template
void	SerializePointerObject (T t, T &newT)

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

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

template
void	TestAllArmadilloSerialization (MatType &x)

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

template
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::mat &	x,
		const arma::mat &	xmlX,
		const arma::mat &	textX,
		const arma::mat &	binaryX
	)

Referenced by SerializePointerObjectAll().

◆ CheckMatrices() [2/3]

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
	)

◆ CheckMatrices() [3/3]

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