Open sjgraves opened 7 years ago
update at 09/12:
GP, SVMR, PLS working as an ensemble of the same model trained on the same 1000 permutations of pixels.
Results range around 0.2-0.6 for most of the traits. Interestingly, GP and SVMR fail in getting the relationship for different traits.
Both GP and SVMR are based on a gaussian kernel, sklearn standard initial parameterization.
Sergio will look into what's going on with GP