Hello Nixtla team! I have a question regarding the use of SHAP in mlforecast. I'm implementing the example SHAP code in the documentation found here. However, I get an error at the line 'shap_values = explainer(X)' saying "

TypeError: 'DataFrame' object cannot be interpreted as an integer

Has anyone faced a similar issue?

Hey. Are you doing exactly the same as the guide? Seems like you may be using the MLForecast object instead of the model, as in this issue

Thank you, José! You're absolutely right. I should have passed fsct.models_['modelname']. Instead, I passed fsct. I didn't think I would need to specify the model name since there was only one estimator in the mlforecast object. It's works now. Thanks again!