flat_classification_report seems to be broken

[chriswales95]

Hi,

it appears that flat_classification_report is now broken. Scikit-learn's classification_report no longer uses positional arguments anymore and was deprecated prior a while back. It seems this is now being enforced.

Specifically, the issue is that labels are no longer a positional argument and is instead a keyword argument.

It seems to be a simple fix so I can submit a pull request later.

[chriswales95]

I've opened a pull request.

#67

[tkngoutham]

This bug is not fixed yet. Kindly some one do the merge and let the issue gets resolved

[PawanKrGunjan]

metrics.flat_classification_report(test_labels, y_pred, labels=labels, digits=3)

TypeError: classification_report() takes 2 positional arguments but 3 positional arguments (and 1 keyword-only argument) were given

[drizk1]

so is there still no fix?

[PawanKrGunjan]

`from sklearn_crfsuite.utils import flatten

print(metrics.flat_classification_report(y_test,
y_pred,
labels=sorted_labels,
digits=3
)
)`

Check this notebook:
https://www.kaggle.com/code/pawankumargunjan/sklearn-crfsuite