theplu::yat::regression::Poisson Class Reference

#include <yat/regression/Poisson.h>

Inheritance diagram for theplu::yat::regression::Poisson:

Public Member Functions
const utility::Matrix &	covariance (void)
	Covariance of fit parameters.
void	fit (const utility::Matrix &x, const utility::VectorBase &y)
	fit model
const utility::Vector &	fit_parameters (void) const
double	predict (const utility::VectorBase &x) const

Detailed Description

Poisson regression models count data from a poisson distribution in which the the expectation value, is modeled as , or for a given model, , and input vector , the expectation value

Since

new in yat 0.15

Member Function Documentation

fit_parameters()

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

virtual

Number of parameters equals 1 + number of columns in A.

Returns

parameters

Implements theplu::yat::regression::Multivariate.

predict()

double theplu::yat::regression::Poisson::predict ( const utility::VectorBase &  x ) const

virtual

Predicted value given x. The prediction is calculated as

Implements theplu::yat::regression::Multivariate.

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The documentation for this class was generated from the following file:

• yat/regression/Poisson.h