def finish(self, option=None):
mkdir_when_not_exist(abs_path=definitions.ROOT_DIR + '/storage/images')
if option:
self._plt.savefig(definitions.ROOT_DIR + "/storage/images/" +
clock.now_str() + '_' + option)
else:
self._plt.savefig(definitions.ROOT_DIR + "/storage/images/" +
clock.now_str())
self._plt.cla()
def _save(self):
mkdir_when_not_exist(abs_path=definitions.ROOT_DIR + '/storage/' + self.objective_name)
dir_name = definitions.ROOT_DIR + '/storage/' + self.objective_name + '/' + now_str() + ' ' + str(
len(self.original_domain)) + 'D REMBO_' + str(self.subspace_dim_size)
mkdir_when_not_exist(abs_path=dir_name)
self.save_report(report_file=dir_name + '/report.txt')
self.save_evaluations(evaluations_file=dir_name + '/evaluation.csv')
self.save_models(models_file=dir_name + '/model.csv')
def _save(self):
mkdir_when_not_exist(abs_path=definitions.ROOT_DIR + '/storage/' +
self.objective_name)
dir_name = definitions.ROOT_DIR + '/storage/' + self.objective_name + '/' + now_str(
) + ' ' + str(self.dimensionality) + 'D ' + str(self.fill_in_strategy)
mkdir_when_not_exist(abs_path=dir_name)
self.save_report(report_file=dir_name + '/report.txt')
self.save_evaluations(evaluations_file=dir_name + '/evaluation.csv')
self.save_models(models_file=dir_name + '/model.csv')