Is there a way to convert support vector classifier with rbf kernel to tf model?
I am aware of converting support vector classifier with linear kernel because there exists coef_ where we can find parameters and assign to tf model. Got this idea from how to convert saved model from sklearn into tensorflow/lite.
However _coef wont be there for rbf , so i am not sure on how to convert this model to an tf model.
Any suggestions are highly helpful. Thanks