Implementing the support vector machine for the custom learning block

Question/Issue: I have created a custom learning block to implement the SVM using the example GitHub - edgeimpulse/example-custom-ml-block-scikit: Scikit learn block. How to implement the minimal_predict_proba function for SVM.

**Project ID:**135755

Context/Use case: I have created a custom learning block to implement the SVM using the example GitHub - edgeimpulse/example-custom-ml-block-scikit: Scikit learn block. How to implement the minimal_predict_proba function for SVM. Could anyone please help with how to implement the minimal_predict_proba function for an SVM and what all changes need to be made?