I want the classifier to run faster and stop early if the patience reaches the number I set. In the following code it does 10 iterations of fitting the model.
This is what I have done
results = cross_val_score(estimator, X, Y, cv=kfold, fit_params = {'callbacks': [checkpointer,plateau]})
and has worked so far