def __init__(self, args):
log_dir = '../../logs/linkload_prediction/{}_{}_{}_{}_{}_{}'.format(args.model, args.dataset, args.seq_len_x,
args.seq_len_y, args.loss_fn, args.type)
if args.tod:
log_dir = log_dir + '_tod'
if args.ma:
log_dir = log_dir + '_ma'
if args.mx:
log_dir = log_dir + '_mx'
if not os.path.exists(log_dir):
os.makedirs(log_dir)
args.log_dir = log_dir
pickle_save(args, '{}/args.pkl'.format(args.log_dir))
if args.verbose:
print('[+] creating logger:', log_dir)
self.writer = SummaryWriter(log_dir=log_dir)
self.log_dir = log_dir
self.args = args
self.min_val_loss = np.inf
self.patience = 0
self.loss_fn = args.loss_fn
self.best_model_save_path = os.path.join(args.log_dir, 'best_model.pth')
self.metrics = []
self.stop = False
self.Xhat = None
def __init__(self, args):
log_dir = '../../logs/icc/imputation/{}_{}_{}/{}_{}/{}_{}_{}/'. \
format(args.model, args.num_layers, args.residual_channels, args.dataset, args.seq_len, args.type,
args.sr, args.seed)
if args.verbose:
print('[+] creating logger:', log_dir)
if not os.path.exists(log_dir):
os.makedirs(log_dir)
args.log_dir = log_dir
pickle_save(args, '{}/args.pkl'.format(args.log_dir))
self.log_dir = log_dir
self.imp_saving_path = os.path.join(
args.savingpath, '{}_{}_{}_{}'.format(args.model, args.dataset,
args.sr, args.type))
if not os.path.exists(self.imp_saving_path):
os.makedirs(self.imp_saving_path)
self.args = args
self.min_val_loss = np.inf
self.patience = 0
self.best_model_save_path = os.path.join(
args.log_dir, 'best_model_{}.pth'.format(args.impset))
self.metrics = []
self.stop = False
self.Xhat = None
parser.add_argument('--learning_rate',
type=float,
default=0.001,
help='learning rate')
parser.add_argument('--lr_decay_rate',
type=float,
default=0.97,
help='learning rate')
parser.add_argument('--save',
type=str,
default='experiment',
help='save path')
parser.add_argument('--n_iters',
default=None,
help='quit after this many iterations')
parser.add_argument(
'--es_patience',
type=int,
default=20,
help='quit if no improvement after this many iterations')
args = parser.parse_args()
t1 = time.time()
if not os.path.exists(args.save):
os.mkdir(args.save)
pickle_save(args, f'{args.save}/args.pkl')
main(args)
t2 = time.time()
mins = (t2 - t1) / 60
print(f"Total time spent: {mins:.2f} seconds")