diff options
Diffstat (limited to 'lib/parameters.py')
| -rw-r--r-- | lib/parameters.py | 10 |
1 files changed, 6 insertions, 4 deletions
diff --git a/lib/parameters.py b/lib/parameters.py index e8347a3..078fa7a 100644 --- a/lib/parameters.py +++ b/lib/parameters.py @@ -81,7 +81,7 @@ def _reduce_param_matrix(matrix: np.ndarray, parameter_names: list) -> list: def _std_by_param(n_by_param, all_param_values, param_index): - u""" + """ Calculate standard deviations for a static model where all parameters but `param_index` are constant. :param n_by_param: measurements of a specific model attribute partitioned by parameter values. @@ -501,8 +501,8 @@ class ParamStats: if self.use_corrcoef: return 1 - np.abs(self.corr_by_param[param]) if self.std_by_param[param] == 0: - if self.std_param_lut != 0: - raise RuntimeError("wat") + # if self.std_param_lut != 0: + # raise RuntimeError(f"wat: std_by_param[{param}]==0, but std_param_lut=={self.std_param_lut} ≠ 0") # In general, std_param_lut < std_by_param. So, if std_by_param == 0, std_param_lut == 0 follows. # This means that the variation of param does not affect the model quality -> no influence, return 1 return 1.0 @@ -526,7 +526,9 @@ class ParamStats: return 1 - np.abs(self.corr_by_arg[arg_index]) if self.std_by_arg[arg_index] == 0: if self.std_param_lut != 0: - raise RuntimeError("wat") + raise RuntimeError( + f"wat: std_by_arg[{arg_index}]==0, but std_param_lut=={self.std_param_lut} ≠ 0" + ) # In general, std_param_lut < std_by_arg. So, if std_by_arg == 0, std_param_lut == 0 follows. # This means that the variation of arg does not affect the model quality -> no influence, return 1 return 1 |