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 -- ====================================================================== Thomas Evangelidis Research Specialist CEITEC - Central European Institute of Technology Masaryk University Kamenice 5/A35/1S081, 62500 Brno, Czech Republic email: [email protected] [email protected] website: https://sites.google.com/site/thomasevangelidishomepage/
_______________________________________________ scikit-learn mailing list [email protected] https://mail.python.org/mailman/listinfo/scikit-learn
