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main_clcl.py
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main_clcl.py
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import argparse
import os
from networks.trainers.clcl_trainer import CLCLSA_Trainer
if __name__ == '__main__':
# python main_clcl.py --data_folder=ROSMAP --hidden_dim=300 --num_epoch=2500
# python main_clcl.py --data_folder=BRCA --hidden_dim=200 --num_epoch=2500
parser = argparse.ArgumentParser()
# dataset settings
parser.add_argument('--data_folder', type=str, default="LGG")
parser.add_argument('--missing_rate', type=float, default=0.2)
parser.add_argument('--exp', type=str, default="./exp")
# model params
parser.add_argument('--hidden_dim', type=str, default="300")
parser.add_argument('--lr', type=float, default=1e-4)
parser.add_argument('--step_size', type=int, default=500)
parser.add_argument('--dropout', type=float, default=0.5)
parser.add_argument('--prediction', type=str, default="64,32")
parser.add_argument('--device', type=str, default="cuda")
parser.add_argument('--lambda_cl', type=float, default=0.05)
parser.add_argument('--lambda_co', type=float, default=0.02)
parser.add_argument('--lambda_al', type=float, default=1.)
# training params
parser.add_argument('--num_epoch', type=int, default=2500)
parser.add_argument('--test_inverval', type=int, default=50)
args = parser.parse_args()
params = vars(args)
params['hidden_dim'] = [int(x) for x in params['hidden_dim'].split(",")]
params['prediction'] = {i: [int(x) for x in params['prediction'].split(",")] for i in range(3)}
cl_trainer = CLCLSA_Trainer(params)
cl_trainer.train()