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Hmm good question; so the RGPE model should in principle be compatible with the Modular BoTorch model interface, but it would require registering some custom fitting procedures. The Could you please take a look at the "Using custom models and acquisition functions |
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Hello,
Is the RGPE strategy (meta_learning_with_rgpe) compatible with custom_botorch_model_in_ax ?
I tried to add the :
target_model = get_fitted_model(train_X, train_Y, train_Yvar)
model_list = base_model_list + [target_model]
rank_weights =compute_rank_weights(train_X,train_Y,train_Yvar,base_model_list,target_model,NUM_POSTERIOR_SAMPLES,)
in the init phase of the Custom class, it doesn't seem to be sufficient.
Thanks for your help
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