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Hello,
I found a strange behavior in model optimization of mgpr.py.
(1)
Is best_params["k_lengthscales"] = model.kernel.lengthscales best_params["lengthscales"] = model.kernel.lengthscales ?
(2)
It seems that best_params is updated when optimizer.minimize(model.training_loss, model.trainable_variables) is executed. It means that the values of best_params always changes regardless of whether if loss < best_loss is True or False.
Hello,
I found a strange behavior in model optimization of mgpr.py.
(1)
Is
best_params["k_lengthscales"] = model.kernel.lengthscales
best_params["lengthscales"] = model.kernel.lengthscales
?(2)
It seems that
best_params
is updated whenoptimizer.minimize(model.training_loss, model.trainable_variables)
is executed. It means that the values ofbest_params
always changes regardless of whetherif loss < best_loss
isTrue
orFalse
.My environment is;
Python 3.7.12
tensorflow 2.9.1
gpflow 2.5.2
gym 0.18.0
Thanks,
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