strip_type.hpp 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	CLI
	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<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

strip_type.hpp

This class is used to update the weightVectors matrix according to the simple update rule as discussed by Rosenblatt:

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

.hpp

Author: Ryan Curtin

Given a C++ type name, turn it into something that has no special characters that can simply be printed.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

Author: Ryan Curtin

Simple utilities for boost::serialization.

mlpack is free software; you may redistribute it and/or modify it under the terms of the 3-clause BSD license. You should have received a copy of the 3-clause BSD license along with mlpack. If not, see http://www.opensource.org/licenses/BSD-3-Clause for more information.

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

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

void mlpack::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
	)