yat
0.15.2pre
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#include <yat/regression/Multivariate.h>
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 | |
Interface class for multivariate regression classes.
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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::MultiDimensional, and theplu::yat::regression::Poisson.
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pure virtual |
Implemented in theplu::yat::regression::MultiDimensional, and theplu::yat::regression::Poisson.