Refering to the question before - is there a general python method to get an overview or a list of only the potential hyperparameters for a certain classifier? … comparable to classifier.get_params(), but excluding the parameters? I know that you would spoil the test answer by telling it here. But can you say yes or no, because I could not find anything. It would be very helpful for when getting to know new classifiers that you are not familiar with.
There is a proposal on the scikit-learn github repo to tag parameters and hyperparameters in the user guide. If you read the discussion there, the problem is to actually get a consensus on how to do so.