Discrete() produces floats occasionally about sherpa HOT 5 CLOSED

Hi and apologies for the delay on this. It seems like this problem only occurred for the version on PyPi? I have checked the master branch and added a test and it seems to work fine. I have accordingly updated the code on PyPi, so if you update using pip the updates should be installed. Would be great if you could check. Otherwise I'll close this issue here in a week or so.

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Yes, it works now!

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I have the same problem when using GPyOpt as algorithm

from sherpa.

This error occurs with me too. You can change the float to an integer as temporary solution. After that, the code can be executed.

Example:

model.add(Dense(units=int(trial.parameters['num_units']), activation=trial.parameters['activation'], input_dim=784))

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At the moment I can't test it properly because I can't reach the dashboard. See: #59

from sherpa.