#include <yat/regression/Multivariate.h>

Inheritance diagram for theplu::yat::regression::Multivariate:

Public Member Functions
virtual	~Multivariate (void)
	destructor

virtual void	fit (const utility::Matrix &x, const utility::VectorBase &y)=0

virtual const utility::Vector &	fit_parameters (void) const =0

virtual double	predict (const utility::VectorBase &x) const =0
	predict value in x according to model

Detailed Description

Interface class for multivariate regression classes.

Since: new in yat 0.15

Member Function Documentation

◆ fit()

virtual void theplu::yat::regression::Multivariate::fit	(	const utility::Matrix &	x,
		const utility::VectorBase &	y
	)

pure virtual

Estimating model parameters based on X to fit output data y. Each row in X corresponds to one data point, i.e., number of rows in X must match size of y.

Implemented in theplu::yat::regression::NegativeBinomial, theplu::yat::regression::MultiDimensional, and theplu::yat::regression::Poisson.

◆ fit_parameters()

virtual const utility::Vector& theplu::yat::regression::Multivariate::fit_parameters ( void ) const