Trees | Indices | Help |
|
---|
|
Unit tests for the target_functions.chi2 relax module.
|
|||
Inherited from |
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
|
|||
Inherited from Inherited from Inherited from |
|
|||
Inherited from |
|
|||
Inherited from Inherited from |
|
|||
Inherited from |
|
Create a number of objects for the calculation and testing of the chi-squared equations.
|
Delete all the data structures.
|
Unit test for the value returned by the chi2 function. The chi-squared value is 2.5 for the following data: data = | 1.0 1.5 2.0 2.5 3.0 |, back_calc = | 0.9 1.45 2.0 2.55 3.1 |, errors = | 0.1 0.1 0.1 0.1 0.1 |. |
Unit test for the chi-squared gradient created by the dchi2 function. The chi-squared gradient is [0, 10] for the following data: data = | 1.0 1.5 2.0 2.5 3.0 |, back_calc = | 0.9 1.45 2.0 2.55 3.1 |, back_calc_grad = | 0.1 0.2 0.3 0.2 0.1 | | -0.2 -0.1 0.0 0.1 0.2 |, errors = | 0.1 0.1 0.1 0.1 0.1 |. |
Unit test for the chi-squared gradient created by the dchi2_element function. The chi-squared gradient is [0, 10] for the following data: data = | 1.0 1.5 2.0 2.5 3.0 |, back_calc = | 0.9 1.45 2.0 2.55 3.1 |, back_calc_grad = | 0.1 0.2 0.3 0.2 0.1 | | -0.2 -0.1 0.0 0.1 0.2 |, errors = | 0.1 0.1 0.1 0.1 0.1 |. |
Unit test for the chi-squared Hessian created by the d2chi2 function. For the data: data = | 1.0 1.5 2.0 2.5 3.0 |, back_calc = | 0.9 1.45 2.0 2.55 3.1 |, back_calc_grad = | 0.1 0.2 0.3 0.2 0.1 | |-0.2 -0.1 0.0 0.1 0.2 |, back_calc_hess[0] = | 0.01 0.005 0.0 0.005 0.01 | | 0.05 0.01 0.0 0.01 0.05 |, back_calc_hess[1] = | 0.001 0.0005 0.0 0.0005 0.001 | | 0.005 0.001 0.0 0.001 0.005 |, errors = | 0.1 0.1 0.1 0.1 0.1 |, the chi-squared hessian is: Hessian = | 38.0 0.0 | | 0.0 20.0 |. |
Unit test for the chi-squared Hessian created by the d2chi2_element function. For the data: data = | 1.0 1.5 2.0 2.5 3.0 |, back_calc = | 0.9 1.45 2.0 2.55 3.1 |, back_calc_grad = | 0.1 0.2 0.3 0.2 0.1 | |-0.2 -0.1 0.0 0.1 0.2 |, back_calc_hess[0] = | 0.01 0.005 0.0 0.005 0.01 | | 0.05 0.01 0.0 0.01 0.05 |, back_calc_hess[1] = | 0.001 0.0005 0.0 0.0005 0.001 | | 0.005 0.001 0.0 0.001 0.005 |, errors = | 0.1 0.1 0.1 0.1 0.1 |, the chi-squared hessian is: Hessian = | 38.0 0.0 | | 0.0 20.0 |. |
Trees | Indices | Help |
|
---|
Generated by Epydoc 3.0.1 on Fri Oct 28 15:38:11 2016 | http://epydoc.sourceforge.net |