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Hi @chrissles ! Does how to copy (hyper)parameter values between models answer your question? |
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Does anyone know how I can extract names of parameters of a kernel in gpflow, e.g. variance and lengthscale of gpflow.kernels.Matern32()?
With print_summary I get a column with these names but I cannot extract the name from the object. I would like to know which paramters a kernel has without looking into the doc, such that I can automatically set the best parameters after training a model multiple times.
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