fitbenchmarking.results_processing.acc_table module¶

Accuracy table

class fitbenchmarking.results_processing.acc_table.AccTable(results, best_results, options, group_dir, pp_locations, table_name)¶

The accuracy results are calculated from the final chi squared value:

$\min_p \sum_{i=1}^n \left( \frac{y_i - f(x_i, p)}{e_i} \right)^2$

where $n$ data points $(x_i,y_i)$ , associated errors $e_i$ , and a model function $f(x,p)$ .

get_values(results_dict)¶

Gets the main values to be reported in the tables

Parameters:	results_dict (dictionary) – dictionary containing results where the keys are the problem sets and the values are lists of results objects
Returns:	two dictionaries containing the absolute chi_sq and the normalised chi_sq with respect to the smallest chi_sq value.
Return type:	tuple(dict, dict)