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It seems like when GPJL predicts with noise_learn = true it is incredibly slow, but noise_learn = false is fast. This should be investigated as to whether it is something that can be fixed in CES.jl or is on the GaussianProcesses.jl side.
The text was updated successfully, but these errors were encountered:
It seems like when GPJL predicts with noise_learn = true it is incredibly slow, but noise_learn = false is fast. This should be investigated as to whether it is something that can be fixed in CES.jl or is on the GaussianProcesses.jl side.
The text was updated successfully, but these errors were encountered: