diff options
Diffstat (limited to 'lib')
| -rwxr-xr-x | lib/dfatool.py | 22 |
1 files changed, 0 insertions, 22 deletions
diff --git a/lib/dfatool.py b/lib/dfatool.py index f54d1a0..1712d75 100755 --- a/lib/dfatool.py +++ b/lib/dfatool.py @@ -952,28 +952,6 @@ class AnalyticModel: self.stats = ParamStats(self.by_name, self.by_param, self.parameters, self._num_args, verbose = verbose) - def _fit(self): - paramfit = ParallelParamFit(self.by_param) - - for name in self.by_name.keys(): - for attribute in self.by_name[fname]['attributes']: - for param_index, param in enumerate(self.parameters): - ratio = self.stats.param_dependence_ratio(fname, attribute, param) - if self.stats.depends_on_param(fname, attribute, param): - paramfit.enqueue(fname, attribute, param_index, param, False) - - paramfit.fit() - - for name in self.by_name.keys(): - for attribute in self.by_name[fname]['attributes']: - fit_result = {} - for result in paramfit.results: - if result['key'][0] == name and result['key'][1] == attribute and result['result']['best'] != None: - fit_result[result['key'][2]] = result['result'] - if len(fit_result.keys()): - x = analytic.function_powerset(fit_result, parameters) - x.fit(by_param, fname, attribute) - def _get_model_from_dict(self, model_dict, model_function): model = {} for name, elem in model_dict.items(): |