def _run_with_ga(self, problem):
fitness_curve = []
if self.curve:
fitted_weights, loss, fitness_curve = genetic_alg(
problem,
pop_size=self.pop_size,
mutation_prob=self.mutation_prob,
max_attempts=self.max_attempts
if self.early_stopping else self.max_iters,
max_iters=self.max_iters,
curve=self.curve,
state_fitness_callback=self.state_fitness_callback,
callback_user_info=self.callback_user_info)
else:
fitted_weights, loss, _ = genetic_alg(
problem,
pop_size=self.pop_size,
mutation_prob=self.mutation_prob,
max_attempts=self.max_attempts
if self.early_stopping else self.max_iters,
max_iters=self.max_iters,
curve=self.curve,
state_fitness_callback=self.state_fitness_callback,
callback_user_info=self.callback_user_info)
return fitness_curve, fitted_weights, loss
def _run_with_ga(self, problem):
fitness_curve = []
timing_curve = []
if self.curve:
fitted_weights, loss, fitness_curve, timing_curve = genetic_alg(
problem,
pop_size=self.pop_size,
mutation_prob=self.mutation_prob,
max_attempts=self.max_attempts if self.early_stopping else
self.max_iters,
max_iters=self.max_iters,
curve=self.curve, timing=self.timing)
else:
fitted_weights, loss, _, _ = genetic_alg(
problem,
pop_size=self.pop_size, mutation_prob=self.mutation_prob,
max_attempts=self.max_attempts if self.early_stopping else
self.max_iters,
max_iters=self.max_iters,
curve=self.curve, timing=self.timing)
return fitness_curve, fitted_weights, loss, timing_curve