diff options
Diffstat (limited to 'lib/dfatool.py')
| -rwxr-xr-x | lib/dfatool.py | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/lib/dfatool.py b/lib/dfatool.py index c4529ce..38e140d 100755 --- a/lib/dfatool.py +++ b/lib/dfatool.py @@ -413,7 +413,7 @@ def _preprocess_measurement(measurement): class ParamStats: - def __init__(self, by_name, by_param, parameter_names, arg_count, use_corrcoef = False): + def __init__(self, by_name, by_param, parameter_names, arg_count, use_corrcoef = False, verbose = False): """ Compute standard deviation and correlation coefficient on parameterized data partitions. @@ -444,7 +444,7 @@ class ParamStats: for state_or_tran in by_name.keys(): self.stats[state_or_tran] = dict() for attribute in by_name[state_or_tran]['attributes']: - self.stats[state_or_tran][attribute] = compute_param_statistics(by_name, by_param, parameter_names, arg_count, state_or_tran, attribute) + self.stats[state_or_tran][attribute] = compute_param_statistics(by_name, by_param, parameter_names, arg_count, state_or_tran, attribute, verbose = verbose) def _generic_param_independence_ratio(self, state_or_trans, attribute): """ @@ -950,7 +950,7 @@ class AnalyticModel: self.parameters = sorted(parameters) self.verbose = verbose - self.stats = ParamStats(self.by_name, self.by_param, self.parameters, {}) + self.stats = ParamStats(self.by_name, self.by_param, self.parameters, {}, verbose = verbose) def _fit(self): paramfit = ParallelParamFit(self.by_param) @@ -1319,7 +1319,7 @@ class PTAModel: self._num_args = arg_count self._use_corrcoef = use_corrcoef self.traces = traces - self.stats = ParamStats(self.by_name, self.by_param, self._parameter_names, self._num_args, self._use_corrcoef) + self.stats = ParamStats(self.by_name, self.by_param, self._parameter_names, self._num_args, self._use_corrcoef, verbose = verbose) self.cache = {} np.seterr('raise') self._outlier_threshold = discard_outliers |