Can't plot class report with trained model

[OleksandrSG]

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

# Steps to reproduce the behavior (code snippet):
# Should include imports, dataset loading, and execution
# Add the traceback below

Dataset
Did you use a specific dataset to produce the bug? Where can we access it?

Expected behavior
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Traceback

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Desktop (please complete the following information):

• OS: [e.g. macOS]
• Python Version [e.g. 2.7, 3.6, miniconda]
• Yellowbrick Version [e.g. 0.7]

Additional context
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[lwgray]

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.