def select_one(self, population: Population) -> Individual:
"""Return single individual from population.
Parameters
----------
population
A Population of Individuals.
Returns
-------
Individual
The selected Individual.
"""
candidates = self._preselection(population)
cases = np.arange(len(population[0].error_vector))
shuffle(cases)
if isinstance(self.epsilon, np.ndarray):
ep = np.apply_along_axis(median_absolute_deviation, 0,
population.all_error_vectors())
elif isinstance(self.epsilon, (float, int, np.int64, np.float64)):
ep = self.epsilon
while len(cases) > 0 and len(candidates) > 1:
case = cases[0]
errors_this_case = [i._error_vector[case] for i in candidates]
def _select_with_stream(self, population: Population, cases: CaseStream) -> Individual:
candidates = one_individual_per_error_vector(population)
ep = self.epsilon
if isinstance(ep, bool) and ep:
ep = self._epsilon_from_mad(population.all_error_vectors())
for case in cases:
if len(candidates) <= 1:
break
errors_this_case = [i.error_vector[case] for i in candidates]
best_val_for_case = min(errors_this_case)
