5d353701dd56a1fc8abc15e4082e33b7bed2a241,mimic3models/split_train_val.py,,,#,5

Before Change

patients = list(set([x[:x.find("_")] for x in lines]))

random.shuffle(patients)
train_cnt = int(0.82 * len(patients)) // this will became 70% of all data
train_patients = set(patients[:train_cnt])
val_patients = set(patients[train_cnt:])
assert len(train_patients & val_patients) == 0

After Change

val_patients = set()
with open("mimic3models/valset.csv", "r") as valset_file:
    for line in valset_file:
        x, y = line.split(",")
        if int(y) == 1:
            val_patients.add(x)

has_header = False
if args.task in ["phenotyping", "multitask"]:
    has_header = True

Instances