naive fitting.
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#include <yat/regression/NaiveWeighted.h>
◆ fit()
◆ predict()
double theplu::yat::regression::NaiveWeighted::predict |
( |
const double |
x | ) |
const |
|
virtual |
◆ prediction_error2()
double theplu::yat::regression::OneDimensionalWeighted::prediction_error2 |
( |
const double |
x, |
|
|
const double |
w = 1.0 |
|
) |
| const |
|
inherited |
◆ r2()
double theplu::yat::regression::OneDimensionalWeighted::r2 |
( |
void |
| ) |
const |
|
inherited |
r2 is defined as or the fraction of the variance explained by the regression model.
◆ s2()
double theplu::yat::regression::NaiveWeighted::s2 |
( |
const double |
w = 1 | ) |
const |
|
virtual |
◆ standard_error2()
double theplu::yat::regression::NaiveWeighted::standard_error2 |
( |
const double |
x | ) |
const |
|
virtual |
◆ ap_
Averager for pair of x and y
◆ chisq_
double theplu::yat::regression::OneDimensionalWeighted::chisq_ |
|
protectedinherited |
Chi-squared.
Chi-squared is defined as the
The documentation for this class was generated from the following file: