Encountered errors while generating plots for the train set

[ashikrafi]

Dear Team,

Would you please help me out regarding the error? I am just stuck.

Thank you

[kaushikacharya]

You are receiving the error because the script is trying to execute
int('0.0')

https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html
If you look in the Examples section, values for support should be int.

https://github.com/scikit-learn/scikit-learn/blob/fd237278e895b42abe8d8d09105cbb82dc2cbba7/sklearn/metrics/_classification.py#L1275
Function precision_recall_fscore_support mentions in the Returns section:

support : None (if average is not None) or array of int, shape =\
        [n_unique_labels]
        The number of occurrences of each label in ``y_true``.

I am not sure why you are getting float instead of int.
Probably you need to check whether its due to some older version of scikit-learn (My guess).
Or it could be that the released version of NeuroNER had some issues which got resolved after the commits post release?

You should try out:

• Check what's getting returned by sklearn.metrics.classification_report
• For a quick fix, you can replace support.append(int(t[-1])) with support.append(int(float(t[-1]))) in utils_plots.py

[Franck-Dernoncourt]

Kaushik is correct: scikit-learn has changed the format of the output of sklearn.metrics.classification_report, which I'm guessing causes the issue you're experiencing. Try with scikit-learn==0.20.2

…

On Tue, Jun 9, 2020, 04:51 Kaushik Acharya ***@***.***> wrote: You are receiving the error because the script is trying to execute int('0.0') https://scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html If you look in the *Examples* section, values for *support* should be int. https://github.com/scikit-learn/scikit-learn/blob/fd237278e895b42abe8d8d09105cbb82dc2cbba7/sklearn/metrics/_classification.py#L1275 Function precision_recall_fscore_support mentions in the *Returns* section: support : None (if average is not None) or array of int, shape =\ [n_unique_labels] The number of occurrences of each label in ``y_true``. I am not sure why you are getting *float* instead of *int*. Probably you need to check whether its due to some older version of scikit-learn (My guess). Or it could be that the released version of NeuroNER had some issues which got resolved after the commits post release? You should try out: - Check what's getting returned by sklearn.metrics.classification_report - For a quick fix, you can replace support.append(int(t[-1])) with support.append(int(float(t[-1]))) in utils_plots.py — You are receiving this because you are subscribed to this thread. Reply to this email directly, view it on GitHub <#166 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/AAADXY7MERQCDSPJSMUMNITRVYO5HANCNFSM4NY2XYMA> .

[ashikrafi]

Thank you,it worked.