Gaussian Process Regression with multiple features
June 2, 2020
1:37 p.m.
Apu Sarkar <apusarkar@gmail.com> [image: image.gif] 1:32 PM (2 hours ago) [image: image.gif] [image: image.gif] to scikit-learn [image: image.gif] Hi, I am trying to predict a target (DeltaNDT) which is dependent on five features (Cu, Ni, P, T, Fluence). Please check the ipython notebook and the csv input data: https://github.com/apusarkar/GP-Regression gpr.predict is generating predictions for the train data. However, with test_preds = gpr.predict(X_test) all values test_preds are zeros. Please help me to find the mistake in my approach. Thanks.
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Apu Sarkar