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I have a question about hw3. When I try to run the logistic regression part, I am unable to run the line 'print(logistic_l1.score(np.stack(test_data_df['vect'], axis=0), test_data_df['category']))' without raising an error. In my understanding, it is caused by the fact that test_data_df['vect'] actually has different dimension than the previous train_data_df['vect'], because the todense() function created different dense matrices. In that case, is the given code correct? How should I change it to make it work?
Thank you so much!
The text was updated successfully, but these errors were encountered:
Hello @tianyueniu , ideally just running the same todense() functions on both train and test. But I don't see this error when I run the notebook on my machine: I have now uploaded a new version of HW3 with all the cells run until Section 3, and it runs fine... could you maybe try and pull the latest HW, try it again, and tell me if you get the same error?
Dear TAs,
I have a question about hw3. When I try to run the logistic regression part, I am unable to run the line 'print(logistic_l1.score(np.stack(test_data_df['vect'], axis=0), test_data_df['category']))' without raising an error. In my understanding, it is caused by the fact that test_data_df['vect'] actually has different dimension than the previous train_data_df['vect'], because the todense() function created different dense matrices. In that case, is the given code correct? How should I change it to make it work?
Thank you so much!
The text was updated successfully, but these errors were encountered: