I've noticed when saving a model with dumps, as recommended, a file is sized 10000*features_num (~215Mb). There are 2225 features (many of them are null) and 500 examples in a training set. I wonder what is saved there taking so much room? Even if storing a landmark for each training example, it should be less...
What is saved from inside sklearn.svm.SVR?
scikit learn;svm