Daniel Cohen

@rachelhson I'm going to close this as it's been inactive for a long time, but you can reopen if you'd like to follow up.

Hi @NeptuneProjects. Thanks for the question. It looks like `_construct_inputs_mc_base()` is from an earlier version of botorch, so I'm not exactly sure what it does, but I repro'd without it...

To follow up @NeptuneProjects , can you confirm what is in the `inputs_mc` dict, and also try calling `del inputs_mc["objective"]` to see if that solves the problem? It would also...

@NeptuneProjects I'm going to assume this solved your problem and close the issue, but feel free to reopen if you have further issues.

I don't understand what this has to do with avro. He commented out the avro formatter and is using the `ByteArrayFormat`

Hi @renaissanceM4n , I'm assuming you're using https://ax.dev/tutorials/visualizations.html#3.-Tradeoff-plots. I don't know what you mean by "posterior mean model" here though. I'd be happy to help you if you could give...

@renaissanceM4n > reference point for the objective on the y-scale is set at 1 What do you mean by reference point here? > Gaussian Process Model (=p.m.m mentioned before) for...

@renaissanceM4n About the negative metric value being impossible: it's strange that the model predicts a negative value when it's not possible, but I don't know if it's actually a problem...

Hi @FriendLey, thanks for the feedback. I believe this may be simpler than you think. The base class `Metric` doesn't fetch data and you have to extend it if you...

@FriendLey I see what you're saying. We encode the data type as an int on experiment (https://github.com/facebook/Ax/blob/main/ax/core/experiment.py#L124) so it's loadable. We try not to encode classes directly in the db....