Convert Decision Tree classifier to MLmodel

Question

I have trained DecisionTree classifier which contains 3 .pkl file (decision_tree_classifier.pkl, count_vectorizer.pkl, label_encoder.pkl). Now i want to convert it into .mlmodel for IOS.

I am using below code to convert model to .mlmodel but it does not include label_encoder and count_vectorizer. How can I do this?

import coremltools
# Convert the decision tree model to Core ML
coreml_model = coremltools.converters.sklearn.convert(clf)

# Save the Core ML model to a file
coreml_model.save('core_mlmodel.mlmodel')