bayesian_linear_regression.hpp File Reference

#include <mlpack/prereqs.hpp>
#include "bayesian_linear_regression_impl.hpp"

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Classes
class	mlpack::regression::BayesianLinearRegression
	A Bayesian approach to the maximum likelihood estimation of the parameters \( \omega \) of the linear regression model. More...

Namespaces
	mlpack
	Linear algebra utility functions, generally performed on matrices or vectors.
	mlpack::regression
	Regression methods.

Detailed Description

Author

Clement Mercier

Definition of the BayesianRidge class, which performs the bayesian linear regression. According to the armadillo standards, all the functions consider data in column-major format.

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.