I've defined and trained a lgbm model using pycaret.
When I fetch the model using
model = mlflow.sklearn.load_model(model_name)
the resulting model is of type pycaret.internal.pipeline.Pipeline.
This model type is not supported by shap.TreeExplainer, so I'd like to know if there is a way to convert the model into one of type lightgbm.sklearn.LGBMClassifier
