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: tev...@pharm.uoa.gr

          teva...@gmail.com


website: https://sites.google.com/site/thomasevangelidishomepage/
_______________________________________________
scikit-learn mailing list
scikit-learn@python.org
https://mail.python.org/mailman/listinfo/scikit-learn

Reply via email to