-
-
Notifications
You must be signed in to change notification settings - Fork 553
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Can't plot class report with trained model #1308
Comments
I am sorry @OleksandrSG, but I don't understand your Question. Can you provide your exact code? Not sure about the line above referencing your fitted model. Use the "Add code" button so that your code is formatted and more easily understandable. I look forward to further assisting you. |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Describe the bug
Can't plot class report with trained model
I have fitted model, y_test, y_pred, X_train=X_train, y_train=y_train, X_test= X_test, y_test=y_test.
run this code.
catboost_model = catboost_12 #trained in pycaret
model = wrap(catboost_model)
confusion_matrix(model,X_train=X_train, y_train=y_train, X_test= X_test, y_test=y_test, is_fitted=True)
TypeError: score() got an unexpected keyword argument 'sample_weight'
without wrapper it does not work too.
To Reproduce
Dataset
Did you use a specific dataset to produce the bug? Where can we access it?
Expected behavior
A clear and concise description of what you expected to happen.
Traceback
Desktop (please complete the following information):
Additional context
Add any other context about the problem here.
The text was updated successfully, but these errors were encountered: