TypeError: compute_class_weight() takes 1 positional argument but 3 were given

[aravinthk00]

I working on this repo, in the training process I am facing below error log ,

[INFO] Start training process....
[INFO] Loading data from /content/drive/MyDrive/Work/Function_Vul/Function-level-Vulnerability-Detection//content/drive/MyDrive/Work/Function_Vul/Function-level-Vulnerability-Detection/data/TotalSource/C....
[INFO] The length of the loaded data list is : 3763
[INFO] Applying ELMo model!
[INFO] Setting padding length 1000 for ELMo model. Each textual sequence contains 1000 elements.
[INFO] Patition the data ....
[INFO] Data processing completed!
[INFO] -------------------------------------------------------
[INFO] There are 2408 total samples in the training set. 2393 vulnerable samples.
[INFO] There are 602 total samples in the validation set. 601 vulnerable samples.
Traceback (most recent call last):
File "main.py", line 34, in
helper.exec()
File "/content/drive/MyDrive/Work/Function_Vul/Function-level-Vulnerability-Detection/src/helper.py", line 199, in exec
class_weights = class_weight.compute_class_weight('balanced',
TypeError: compute_class_weight() takes 1 positional argument but 3 were given

Please anyone assist me for the repo issue.

Thankyou in advanced.