diff options
| -rw-r--r-- | lib/paramfit.py | 10 |
1 files changed, 0 insertions, 10 deletions
diff --git a/lib/paramfit.py b/lib/paramfit.py index 586e90d..eb0e141 100644 --- a/lib/paramfit.py +++ b/lib/paramfit.py @@ -163,7 +163,6 @@ def _try_fits( raw_results_by_param = dict() ref_results = {"mean": list(), "median": list()} results = dict() - results_by_param = dict() seen_parameter_combinations = set() @@ -202,7 +201,6 @@ def _try_fits( Y = np.array(Y) other_parameters = remove_index_from_tuple(k, param_index) raw_results_by_param[other_parameters] = dict() - results_by_param[other_parameters] = dict() for function_name, param_function in functions.items(): if function_name not in raw_results: raw_results[function_name] = dict() @@ -249,13 +247,6 @@ def _try_fits( if err < best_fit_val: best_fit_val = err best_fit_name = function_name - results_by_param[other_parameter_combination] = { - "best": best_fit_name, - "best_err": best_fit_val, - "mean_err": results["mean"][best_fit_metric], - "median_err": results["median"][best_fit_metric], - "results": results, - } best_fit_val = np.inf best_fit_name = None @@ -276,5 +267,4 @@ def _try_fits( "mean_err": np.mean(ref_results["mean"]), "median_err": np.mean(ref_results["median"]), "results": results, - "results_by_other_param": results_by_param, } |