def objective(args):
# print( args )
config = args['config']
for attr in args:
if attr != 'config':
config.set(attr, args[attr])
print("Evaluate " + str(config))
cache = ut.FitnessCache()
optimizer = config.optimizer_class(data_dict,
config,
cache,
seed=args['seed'])
pop, logbook, hof = optimizer.optimize(args['hof'])
sol = hof[0]
print("Fitness " + str(sol.fitness.values))
tests.append(str(config) + ";" + str(sol.fitness.values))
return sol.fitness.values[0]
help='Hall of fame size.'
)
parser.add_argument(
'--config',
type=str,
default='config.json',
help='Experiment configuration file path (json format).'
)
FLAGS, unparsed = parser.parse_known_args()
config = ut.Config()
config.load_from_file(FLAGS.config)
print(config)
reader =config.data_reader_class()
data_dict = reader.load_data( config.data_folder )
cache = ut.FitnessCache()
cache.load_from_file(config.cache_file)
optimizer = config.optimizer_class(data_dict, config, cache, seed=FLAGS.seed)
pop, logbook, hof = optimizer.optimize(FLAGS.hof)
log_df = pd.DataFrame(data=logbook)
log_df.to_csv(config.results_folder + config.config_name + '-log.csv', sep=';', encoding='utf-8')
try:
with open(config.results_folder + config.config_name + '-sol.csv','w') as f:
for sol in hof:
f.write(str(sol) + ';' + str(sol.fitness.values))
print('sol=' + str(sol) + ';fitness=' + str(sol.fitness.values))
f.close()
except IOError:
print('Unable to store the hall of fame')
cache.save_to_file(config.cache_file)