Greetings,

I have trained many MLPRegressors using different random_state value and estimated the R^2 using cross-validation. Now I want to combine the top 10% of them in how to get more accurate predictions. Is there a meta-estimator that can get as input a few precomputed MLPRegressors and give consensus predictions? Can the BaggingRegressor do this job using MLPRegressors as input?

Thanks in advance for any hint.

Thomas