Broadcasting error in avg_score

[shubhamgp47]

I get the following error with avg_score multilabel strategy -

File "C:\Users\localuserSKSG\anaconda3\envs\alenv\lib\site-packages\modAL\models\base.py", line 175, in query
query_result, query_metrics = self.query_strategy( File "C:\Users\localuserSKSG\anaconda3\envs\alenv\lib\site-packages\modAL\multilabel.py",
line 258, in avg_score classwise_scores = classwise_confidence*(classwise_predictions-1/2)
ValueError: operands could not be broadcast together with shapes (26872,2,3) (26872,3)

During handling of the above exception, another exception occurred:
Traceback (most recent call last): File "avg-score.py", line 264, in
query_index, query_instance = learner.query(X_pool_np, n_instances=n_instances)
File "C:\Users\localuserSKSG\anaconda3\envs\alenv\lib\site-packages\modAL\models\base.py", line 180, in query
query_result = self.query_strategy( File "C:\Users\localuserSKSG\anaconda3\envs\alenv\lib\site-packages\modAL\multilabel.py", line 258, in
avg_score classwise_scores = classwise_confidence*(classwise_predictions-1/2) ValueError: operands could not be broadcast together with shapes (26872,2,3) (26872,3)

We do not see this error with avg_confidence. Clearly this is because of these lines of code in avg_score which are not present in avg_confidence-

classwise_predictions = classifier.predict(X_pool)
classwise_scores = classwise_confidence*(classwise_predictions-1/2)

Does anyone has a solution/workaround for this?