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# Author: Simon Blanke
# Email: [email protected]
# License: MIT License
import pandas as pd
class ResultsManager:
def __init__(self):
super().__init__()
self.conv = None
self.results_list = []
def _obj_func_results(self, objective_function, para):
results = objective_function(para)
if isinstance(results, tuple):
score = results[0]
results_dict = results[1]
else:
score = results
results_dict = {}
results_dict["score"] = score
return results_dict
def score(self, objective_function):
def _wrapper(pos):
value = self.conv.position2value(pos)
para = self.conv.value2para(value)
results_dict = self._obj_func_results(objective_function, para)
self.results_list.append({**results_dict, **para})
return results_dict["score"]
return _wrapper
@property
def search_data(self):
return pd.DataFrame(self.results_list)
SimonBlanke /
Gradient-Free-Optimizers
