Hello Anthony,
Unfortunately, MATLAB does not provide a direct method to convert an old “NaiveBayes” model object to a new “ClassificationNaiveBayes” object without retraining. However, you can attempt to manually extract and map relevant parameters from the old model to the new format.
There are a couple of ways you can go about it. Consider the following approaches:
- Identify key parameters from the old “NaiveBayes” object that can be directly translated to the “ClassificationNaiveBayes” object. These typically include class prior probabilities and feature likelihoods
- Make a custom function or class that mimics the behaviour of the new “fitcnb” model using the parameters from the old model
- Use the extracted parameters to manually implement the prediction logic, effectively creating a forward-compatible model for predictions.
Please note, however, while this approach provides a workaround, retraining with the original data remains the most robust solution for leveraging the full capabilities of the new “fitcnb” function.
