TSEMO error

[AFilipaAlmeida]

• Operating System: Windows 10
• Python version: Python 3.7.10 through anaconda
• summit version used: 0.8.0rc1

Description

I'm trying to optimize a chemical rection with 8 inputs and 9 objectives through the TSEMO strategy. However when I use the runner to run closed loop optimisation obtained an error.

or when I applied the transform the issue I got was

Do you know how i can solve this issue? Thank you very much

[marcosfelt]

As a quick check, can you try generating 7,8 and 9 points using LHS, running them and then passing those to TSEMO? I am wondering if this has to do with the hypervolume calculation requiring a certain number of initial points, but I'm not sure.

from summit import *

n_points = 9  # change this to 7, 8 or 9
lhs = LHS(emul.domain)
conditions = lhs.suggest_experiments(n_points)
results = emul.run_experiments(conditions)

tsemo = TSEMO(emul.domain)
tsemo.suggest_experiments(conditions, prev_res=results)

[AFilipaAlmeida]

New issues:
with n_point=7

with n_point=8 or 9 (the result was the same)

[marcosfelt]

Sorry about that, I wrote the code incorrectly

from summit import *

n_points = 9  # change this to 7, 8 or 9
lhs = LHS(emul.domain)
conditions = lhs.suggest_experiments(n_points)
results = emul.run_experiments(conditions)

tsemo = TSEMO(emul.domain)
tsemo.suggest_experiments(1, prev_res=results)