Comments (4)
Yes, the API of the Optim package changed slightly in the latest version. We made the necessary fix in commit 1edae62. You can get the fix by getting the very latest version of GaussianProcesses: Pkg.checkout("GaussianProcesses")
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Note: we should tag a new version of the package so this doesn't keep happening.
from gaussianprocesses.jl.
Thanks for the quick reply. I thought I had checked out the latest just in case, but apparently I didn't. It is working now after using Pkg.checkout()
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from gaussianprocesses.jl.
I agree, we should tag a new version. Maxime, do you want to do this, or should I?
from gaussianprocesses.jl.
Sure.
from gaussianprocesses.jl.
Related Issues (20)
- "Params not defined" when loading GaussianProcesses package HOT 2
- New release? HOT 4
- @JuliaRegistrator register HOT 4
- Translate sklearn to Julia request HOT 1
- Compute kernel matrix explicitly HOT 1
- Contribute to Wikipedia's Comparison of Gaussian process software HOT 1
- Error when trying to optimize GPR example HOT 1
- Training data with known uncertainties HOT 3
- Optimization of hyper parameters HOT 2
- optimize! MethodError HOT 1
- strange underestimations of noise around training points HOT 1
- Dependency error when trying to install the package HOT 1
- Optimization HOT 3
- Example Request for MeanLin HOT 2
- Worse performance after `optimize!(gpe)` HOT 2
- Is it possible to use GaussianProcesses to fit an ongoing stream of data? HOT 5
- MeanLin MethodError? HOT 4
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- Update Dependency Upper Bounds
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from gaussianprocesses.jl.